Aditi Consulting Reviews by Employees

Technical Recruiter

Senior Technical Recruiter

US Recruiter

Corporate Recruiter

Team Lead

US IT Recruiter

Summary: We are looking for a seasoned Senior AEM Backend & EDS Developer to architect, build, and maintain enterprise-grade digital experience platforms. You will drive the development of robust AEM backend components, lead AEM as a Cloud Service migrations, and spearhead the adoption of Adobe Edge Delivery Services (EDS) including migrations from AEMaaCS to EDS to deliver sub-second web experiences. You bring at least one live, production EDS site to your track record, and are comfortable owning delivery end-to-end across authoring, build, and CDN layers. Key Responsibilities: AEM Backend Development: - Design and develop custom AEM components, templates, and workflows using Java/OSGi, Sling, and JCR. - Build and maintain RESTful and GraphQL APIs backed by AEM Content Services and Sling Models. - Architect content structures, DAM integrations, and replication topologies for high-availability environments. - Implement and lead AEM as a Cloud Service (AEMaaCS) migrations - content migration, index definitions, cloud-native configurations, and feature flag management. - Conduct code reviews, enforce best practices, and mentor junior and mid-level engineers on AEM development standards. Edge Delivery Services (EDS) Development & Migration: - Own and deliver production EDS sites end-to-end - from initial block library setup through to go-live and post-launch stabilisation. - Lead end-to-end migrations from AEM as a Cloud Service to Adobe Edge Delivery Services, including content modelling, block library porting, and authoring workflow transition. - Author and optimise block libraries using vanilla JS and CSS in alignment with EDS conventions. - Integrate EDS with AEM authoring (Universal Editor, Sidekick) and third-party data sources via SharePoint/Google Drive pipelines. - Monitor and improve Core Web Vitals - LCP, CLS, and INP - across EDS properties. - Automate EDS build and deployment pipelines using GitHub Actions and AEM Cloud Manager. CDN & Infrastructure - Akamai: - Configure and manage Akamai CDN properties - caching rules, edge logic, and cache invalidation strategies for AEM and EDS environments. - Implement Akamai EdgeWorkers and Property Manager rules to optimise content delivery and enforce security policies. - Collaborate with infrastructure teams on Akamai WAF, DDoS mitigation, and origin shield configuration. - Troubleshoot cache-related performance issues across Akamai and AEM Dispatcher layers. Architecture & Collaboration: - Define and document technical architecture for AEM + EDS hybrid and full-EDS implementations. - Partner with front-end engineers, UX designers, and solution architects to translate business requirements into scalable solutions. - Drive adoption of observability tooling (Adobe Experience Platform Debugger, RUM, Akamai mPulse) for production monitoring. Required Qualifications: Education & Experience: - Bachelor or Masters degree in Computer Science, Engineering, or equivalent practical experience. - 8+ years of hands-on AEM development experience (AEM 6.4/6.5 and AEM as a Cloud Service). - 3+ years working with Adobe Edge Delivery Services or AEM Franklin/Helix. - At least one demonstrable production EDS site shipped and live - be prepared to share the URL and discuss architecture decisions during the interview. - Demonstrated experience leading AEMaaCS-to-EDS migration projects end-to-end. AEM Backend Expertise: - Deep proficiency in Java (8+), OSGi/Felix, Apache Sling, and JCR/Oak. - Strong command of AEM component development - HTL/Sightly, Sling Models, WCM Core Components. - Experience with AEM Dispatcher configuration, CDN strategies, and caching policies. - Hands-on with AEM Cloud Manager pipelines, environment configurations, and RDE (Rapid Development Environments). - Hands-on experience with AEM Experience Fragments and Content Fragments for omnichannel content delivery. - Proficiency in headless AEM delivery using Content Fragment models and the AEM GraphQL API - including persisted queries, filtering, and pagination. EDS / Franklin Expertise: - Proven track record of building and shipping production EDS sites using block-based authoring. - Deep understanding of AEMaaCS-to-EDS migration patterns - content model mapping, block porting, redirect strategy, and authoring workflow changeover. - Proficiency in vanilla JavaScript (ES2022+), Web Components, and progressive enhancement patterns. - Understanding of EDS metadata, redirects, sitemap generation, and indexing pipeline. - Experience with EDS performance auditing using Lighthouse CI and PageSpeed Insights. Akamai & CDN: - Hands-on experience configuring Akamai Property Manager, caching behaviours, and origin failover rules. - Working knowledge of Akamai Edge Workers for server-side personalization and request routing. - Familiarity with Akamai mPulse or equivalent RUM tooling for CDN-level performance monitoring. - Understanding of CDN cache invalidation strategies in the context of AEM publish/replication workflows. DevOps, Tooling: - Strong Git workflows, branching strategies, and code review practices. - Experience with CI/CD pipelines - GitHub Actions, Jenkins, or Adobe Cloud Manager. - Comfortable with Docker-based local development environments (AEM SDK). - Familiarity with unit and integration testing - JUnit 5, Mockito, AEM Mocks (io.wcm). Nice To Have: - Adobe Certified Expert (ACE) - Sites Developer or Backend Developer certification. - Experience with headless AEM delivery via Content Fragments + GraphQL. - Knowledge of Adobe Launch (Tags) and Target integration. - Exposure to React/Next.js-based front-end stacks consuming AEM APIs. - Contributions to open-source AEM or EDS projects.

Bangalore

Senior AEM Backend Developer - Java 

Summary : We are seeking a dynamic individual to be part of our fast-paced growth across SEO, website experimentation, and personalization for our website. This role involves partnering closely with US-based web, demand generation, and content teams to transform the website into a measurable revenue driver. You will need 4 hours of daily overlap with US hours, Monday through Thursday. Responsibilities : - Own technical and on-page SEO: site architecture, indexation, schema, internal linking, and Core Web Vitals. - Conduct keyword research, content gap analysis, and SERP intent mapping to support the content roadmap. - Develop a CRO testing pipeline: hypothesis, design, ship, measure, and learn. - Collaborate with growth and ABM teams on personalization for target accounts and personas. - Report on organic performance, test outcomes, and pipeline impact in clear weekly and monthly cadences. - Stay ahead of AEO and GEO shifts to ensure visibility in LLM-driven discovery, not just classic search. - Coordinate with agencies, freelancers, and development partners as needed. Requirements : - 6 years in B2B SEO, web growth, or CRO, ideally in SaaS or cybersecurity. - Hands-on expertise with Google Search Console, Ahrefs or SEMrush, Screaming Frog, or Looker Studio. - Strong CRO background with A/B testing tools like Adobe Target, VWO, Optimizely, or Convert. - Experience with targeting and personalization platforms such as Clay, 6sense, Demandbase, or Adobe Target. - Working knowledge of HTML, CSS, and understanding of how JavaScript frameworks affect crawlability. - Comfortable with Asana and/or Jira and sprint-based execution. - Excellent written English and a documentation-first communication style. - Demonstrated experience sustaining US overlap hours from India. Preferred Skills: - Exposure to modern AEO, GEO, or LLM-driven SEO strategies. - Past experience in cybersecurity, data infrastructure, or enterprise SaaS.

SEO Manager 

Summary : Project AIRA is a hub-and-spoke AIOps platform that automates access security operations using agentic AI. Engineers and internal users interact in plain English; AIRA reasons, plans, and acts across integrated systems with full human-in-the-loop safety controls. The platform serves three personas : Assistant (internal users), Copilot (engineers), and Auditor (compliance). Responsibilities : - Build the Hybrid Agent core (Planner, Memory, Tool Registry, Executor) using LangGraph for stateful agentic workflows. - Develop microservice connectors (Panorama, ServiceNow, Forward Networks, Splunk, Zscaler, IAM) with standard health check / capabilities / execute contracts. - Build the MCP Adapter SDK : PII redaction (Presidio), risk tagging, rollback references, prompt injection defense, and token compaction. - Implement UITL approval workflows, immutable audit logging (corrId, rollbackRef), and CAB-compliant write gating. - Build RAG pipeline over internal SOPs/KBs using OpenSearch; PostgreSQL for system-of-record; Redis caching with TTL tiers. - Deploy and operate on CosmosAI / Kubernetes; Prometheus metrics, distributed tracing, and CI/CD with container scanning. Requirements : - 5 years backend/platform engineering in Python-based distributed systems. - Hands-on LLM application development : agents, RAG, function calling, output validation. - Microservices design with typed contracts, resilience patterns, and API security (OAuth, mTLS, secrets management). - Containerized deployment on Kubernetes or equivalent; CI/CD and DevSecOps practices. Required Skills : - AI / LLM : LangGraph, LangChain, GPT-4 / Claude API, RAG, Guardrails, structured function calling. - Microservices : Python (FastAPI/Flask), MCP, OAuth / mTLS, Server-Sent Events (SSE). - Security : Vault, PII redaction (Presidio), prompt injection defense, UITL, audit logging. - Infrastructure : Kubernetes / CosmosAI, PostgreSQL, OpenSearch, Redis, Prometheus. - Resilience : Retry / backoff, circuit breakers, idempotency keys, chaos testing, distributed tracing. - CI/CD : Container scanning, policy-as-code, GitOps, automated integration tests. Preferred Skills : - Integrations : Palo Alto Panorama, Zscaler, ServiceNow, Splunk, Forward Networks, IAM.

Python Software Developer - Distributed Systems 

Summary: We are looking for a Senior Salesforce Business Systems Analyst / Consultant to support 3rd party tools like Gong, SaleLoft, and NiCE Work Force Management. This is a hands-on role requiring someone who can bridge business requirements with technical implementation, work closely with stakeholders across sales operations, legal, security, and engineering, and drive end-to-end solution delivery. Key Responsibilities: - Lead requirements gathering, process mapping, and solution design for Gong, SaleLoft, and NiCE Work Force Management. - Solid knowledge and hands-on configuration experience with Gong, SaleLoft, and NiCE Work Force Management. - Serve as the primary BSA liaison between Sales and Support business stakeholders and the technical delivery team. - Develop detailed user stories, functional specifications, data flow diagrams, and process documentation. - Drive UAT planning, test case development, and defect triage with business users. - Support change management, training documentation, and go-live readiness activities. - Ensures the application is supported by creating comprehensive requirement documentation and test cases. Basic Skill: - 7 years of Salesforce BSA / Consultant experience with at least 3 years at a senior level. - Deep hands-on experience with Gong, SaleLoft, and NiCE Work Force Management configuration, customization, and optimization. Preferred Skill: - Excellent stakeholder management skills comfortable partnering with Sr Manager/director level business leaders. - Hands-on domain knowledge in business processes and systems that support Sales. - A strong sense of urgency to help customers and the ability to identify insights and deliver quality, innovative experiences quickly. - Strong documentation and process mapping skills. - Excellent stakeholder management and cross-functional communication skills. - Strong analytical and problem-solving abilities with high attention to detail. Suggested Skill: - Experience with Gong, SaleLoft, and NiCE Work Force Management. - Experience with Agile development and methodologies. - Ability to manage multiple initiatives in a fast-moving environment.

Senior Salesforce Business Systems Analyst/Consultant 

Description : Someone who can operate and optimize security controls that sit at the edge of the network and protect web applications from external threats. Must-Haves : - Experience administering and tuning Web Application Firewalls (WAF) - Hands-on experience with Bot Management/Bot Mitigation platforms - Strong understanding of HTTP/HTTPS traffic - Network traffic analysis and troubleshooting - Experience investigating malicious traffic patterns - Familiarity with DDoS protection concepts - Understanding of OWASP Top 10 vulnerabilities - Experience working with enterprise-scale internet-facing applications Nice-to-Haves : - Splunk - CrowdStrike - Security monitoring tools - API security monitoring - Vulnerability scanning platforms - Cloud security exposure (AWS, GCP, Azure) - Scripting (Python, Bash, PowerShell)

Chennai

Cyber Security Operations Engineer 

Job Summary : We are seeking a highly skilled Python & AWS Cloud Engineer to design, develop, and manage scalable, cloud-native applications and data integration solutions. The ideal candidate will have strong expertise in Python development, AWS services, and data pipeline engineering, along with experience in building reliable, high-performance systems. Key Responsibilities : - Design, develop, and deploy scalable and high-performance applications using Python - Build and manage cloud-native solutions leveraging AWS services such as AWS Lambda, EC2, Fargate, S3, RDS/Aurora, ALB, and EventBridge - Develop and maintain robust data pipelines and integrations across multiple enterprise systems - Work with Data Cloud platforms (Salesforce Data Cloud / AWS Data Services) for data ingestion, transformation, and synchronization - Optimize applications for performance, scalability, and reliability in a distributed environment - Monitor, troubleshoot, and resolve production issues to ensure system stability and uptime Required Skills & Qualifications : - Strong programming expertise in Python, with hands-on experience in frameworks such as Flask or FastAPI - Hands-on experience with AWS services across : 1. Compute : Lambda, EC2, Fargate 2. Storage/Database : S3, RDS/Aurora 3. Networking : Application Load Balancer (ALB), VPC 4. Integration/Messaging : EventBridge, SQS, SNS - Experience in designing and developing RESTful APIs and microservices-based architectures - Working knowledge of PostgreSQL or similar relational databases - Solid understanding of ETL processes, data pipelines, and system integrations Preferred Skills (Nice to Have) : - Experience with Salesforce Data Cloud or CRM integrations - Knowledge of cross-cloud data synchronization (e.g., Salesforce, AWS) - Hands-on experience with containerization technologies such as Docker and AWS ECS - Exposure to big data platforms such as Snowflake Additional Attributes : - Strong problem-solving and analytical skills - Ability to work in a fast-paced, collaborative environment - Good understanding of cloud security and best practices

Python & AWS Cloud Engineer 

Job Description : Responsibilities : - Develop and maintain an full stack application tailored to provide customer experiences across TV and Big screens devices based on Native Android or Web tech stack - Design and develop tools to augment the developer experience, including but not limited to: unit or integration Testing solutions, Command-line interfaces, Git helpers and integrations with Gitlab or Gitfarm CI/CD pipelines - Operational metrics and dashboards - Provide hands-on support and training to other developers who are less acquainted with Native Android, Web development, React Native, TypeScript, and GraphQL. - Collaborate with cross-functional teams to gather requirements, provide technical insights, and ensure the timely delivery of high-quality software. Mandatory Requirements : - 2+ years of non-internship experience in design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of professional software development experience using one or more modern programming languages such as Java, Kotlin, JavaScript, or TypeScript, including strong object-oriented design fundamentals. - Bachelor's degree in computer science or equivalent - 2+ years of hands-on experience building native Android applications and developing front-end UI using modern web technologies (JavaScript/TypeScript, HTML, CSS, React or similar). - Experience working in a full-stack architecture, including integration with backend services (REST/GraphQL). Desired skills : - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 2+ years of experience building Android or Android TV apps, including Leanback and large-screen UI patterns. - Experience integrating with backend services (REST/GraphQL) and architectures such as Backend-for Frontend (BFF). - Experience building complex software systems that have been successfully delivered to customers using AWS (API Gateway, Lambda, ECS, DynamoDB, CloudWatch, etc.) - Experience with video playback stacks (ExoPlayer, DRM, streaming), performance optimization (startup time, memory, rendering, ANRs) and CI/CD pipelines for mobile + backend.

Software Development Engineer - Android TV App 

Role Summary : We are looking for an experienced AWS AI Lead to lead the design, development, and delivery of AI, Machine Learning, and Generative AI solutions on AWS. The ideal candidate will have strong handson experience with Amazon Bedrock, Amazon SageMaker, RAG, Prompt Engineering, Python, and AI/ML model evaluation. The role involves leading AI/ML implementation squads, translating business requirements into scalable AI solutions, reviewing technical architecture and solution quality, mentoring engineers, and ensuring that AI initiatives deliver measurable business outcomes. The candidate will work closely with Solution Architects, Data Engineers, Application Developers, Product Teams, and Business Stakeholders to drive AI/GenAI initiatives from ideation through production. Key Responsibilities : AI / ML / GenAI Leadership : - Lead AI, ML, and GenAI implementation squads across multiple projects and use cases. - Translate business challenges into clearly defined AI use cases, technical requirements, and implementation backlogs. - Drive the endtoend delivery of AI solutions from proof of concept to production. - Evaluate emerging GenAI capabilities and identify opportunities for business adoption. - Define technical approaches, solution components, milestones, and delivery priorities. AWS AI & GenAI Solutions : - Design and implement AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and AWS AI services. - Develop and review GenAI architectures involving foundation models, embeddings, RAG pipelines, vector databases, and APIs. - Build scalable and secure solutions leveraging AWSnative services. - Integrate AI capabilities with enterprise applications, APIs, databases, and data platforms. Ensure solutions are designed for scalability, reliability, performance, and cost optimization. RAG & Prompt Engineering : - Design and optimize RetrievalAugmented Generation (RAG) architectures. Work with embeddings, chunking strategies, retrieval mechanisms, vector search, and context management. - Develop, test, and optimize prompts for different foundation models and business use cases. - Evaluate RAG pipelines for relevance, accuracy, latency, hallucination, and response quality. Work with frameworks such as LangChain and/or LlamaIndex where appropriate. Model Evaluation & Quality : - Establish appropriate evaluation frameworks and metrics for AI/ML/GenAI solutions. - Review model outputs, prompts, retrieval quality, accuracy, relevance, and reliability. - Maintain evidence of model and prompt evaluation throughout the development lifecycle. - Identify and mitigate hallucinations, bias, inconsistent outputs, and other modelrelated risks. Define testing strategies for AI applications before production deployment. Technical Leadership & Governance : - Review solution designs, technical approaches, code, RAG flows, prompts, and AI architecture. - Ensure adherence to enterprise security, architecture, coding, and engineering standards. - Implement responsible AI principles, guardrails, access controls, and data protection mechanisms. - Monitor AI workloads for performance, reliability, security, and cost. Establish observability and monitoring practices for AI/ML applications. MLOps & Productionization : - Contribute to MLOps practices covering model deployment, monitoring, versioning, testing, and lifecycle management. Support CI/CD implementation for AI/ML applications. - Define processes for model performance monitoring and continuous improvement. Work with engineering teams to ensure smooth transition of AI solutions from development to production. Stakeholder & Delivery Management : - Collaborate with business stakeholders to understand objectives, pain points, and expected outcomes. - Coordinate with architects, data engineers, application teams, DevOps, security teams, and product owners. - Provide regular updates on delivery progress, risks, dependencies, and technical challenges. - Participate in technical discussions, solution reviews, sprint planning, and architecture reviews. - Ensure delivery timelines and quality standards are consistently met. Team Mentoring : - Coach and mentor AI/ML engineers and developers. Conduct technical knowledgesharing sessions on AWS AI, GenAI, RAG, prompt engineering, and best practices. - Establish reusable development patterns, standards, and accelerators. - Review team deliverables and provide technical guidance on complex AI challenges. Required Technical Skills : - Primary Skills : Amazon Bedrock Amazon SageMaker Generative AI / Foundation Models RetrievalAugmented Generation (RAG) Prompt Engineering Python Model Evaluation - Secondary Skills : Vector Databases LangChain / LlamaIndex MLOps Responsible AI and Guardrails API Integration AWS AI/ML Services Technical Competencies : - Strong understanding of Amazon Bedrock, SageMaker, and AWS AI service integration. - Handson knowledge of RAG architectures, embeddings, vector databases, and foundation models. - Strong Python programming and API development/integration experience. - Understanding of model evaluation methodologies and AI application testing. - Knowledge of MLOps fundamentals and production AI lifecycle management. - Understanding of responsible AI, security, privacy, guardrails, and governance. - Ability to assess AI solution performance, scalability, reliability, and cost. - Experience working with cloudbased AI/ML architectures. Preferred Certifications : AWS Certified AI Practitioner AWS Certified Machine Learning Engineer Associate AWS Certified Solutions Architect Associate Qualification & Experience : - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, Data Science, or a related discipline. - 6 - 10 years of relevant professional experience in AI/ML, cloud engineering, data science, or related technology domains. - Demonstrated handson experience delivering AI/ML/GenAI solutions. - Experience leading technical teams or AI implementation squads is preferred. Strong ability to work across technical and business stakeholders. Ideal Candidate Profile : The ideal candidate is a handson AI/GenAI technical leader who can combine strong AWS expertise with practical AI delivery experience. The candidate should be capable of taking a business problem, identifying the right AI approach, designing the solution, guiding engineering teams, evaluating the resulting model/application, and ensuring successful production delivery.

Hyderabad

Sonata Software - AWS AI Lead 

ROLE OVERVIEW : Set and execute the multi-year technical roadmap for Battery Management Systems - with a sharp focus on software architecture, state-estimation algorithms and digital intelligence. Own the complete BMS stack from embedded firmware through cloud analytics, ensuring safety-certified, production-proven systems. KEY RESPONSIBILITIES : - Define the BMS software architecture: real-time embedded layer, application software, communication stack (CAN, Modbus, Ethernet) and cloud telemetry interfaces. - Lead development of advanced SOC, SOH, SOP and RUL estimation algorithms using Kalman filters, physics-based and data-driven ML models. - Oversee teams developing firmware, high-level application software and full system integration across pack, PCS and EMS. - Drive cloud platform and IoT architecture: data ingestion, data lakes, dashboards for fleet analytics and predictive maintenance. - Approve HIL and SIL validation strategies for all BMS functions; set code quality, CI/CD and testing standards. - Ensure compliance with functional safety (ISO 26262 / IEC 61508) and cybersecurity (ISO 21434) standards. - Manage and mentor a team of embedded software engineers, algorithm developers and cloud architects. SKILLS & COMPETENCIES : - Deep expertise in embedded systems: RTOS (FreeRTOS, QNX or equivalent), C/C++ firmware and hardware bring-up. - Proven SOC/SOH algorithm development for LFP chemistry - including flat open-circuit voltage curve challenges. - Strong software engineering: Git, CI/CD, automated test frameworks, code review practices. - Proficiency in Python and MATLAB/Simulink for algorithm prototyping and model-based development. - Experience with cloud platforms (AWS / Azure / GCP), IoT protocols and big-data pipelines. - Understanding of functional safety (ISO 26262) and cybersecurity (ISO 21434) for safety-critical software. - Ability to scale and lead engineering teams of 20+ across firmware, software and cloud disciplines.

Vapi

Gujarat

Head - Battery Management System 

Brief about Bert Labs : Bert Labs is an International Award Winning, one of the fastest growing AI Innovation Companies in the world. Founded in 2017, Bert Labs is growing at 300% year on year to be USD 1 Billion global revenue by 2027-28. And bringing in Business Transformation impact across industries. Bert Labs is bringing USD 360 million in energy cost savings and 60 million Tonnes of carbon footprint reduction with 100+ clients in India & globally. And USD 460 million in production cost savings. In the next 4 years, our platform will bring in USD 1.6 billion in energy cost savings and 260 million Tonnes of carbon footprint reduction with 600+ clients. And production cost savings of USD 2 billion. This will lead to USD 1 Billion revenues by FY 2027-28 end for an IPO. At Bert Labs, we are leading ClimateTech as we tackle complex challenges through Bert Geminus- First Principles, powered by Deep Neural Network Operational Digital Twins prediction, and Bert Optimus- Reinforcement Learning optimization. These are facilitated by Bert Nova Multi-Tenant Distributed Computing, Bert Maximus IoT Devices, and Bert Qrious IoT-powered Wireless Sensor Network, all part of the Bert Platform Solution- , driving Business Transformation Goals on Sustainability, Energy Efficiency Improvement, Net Zero, and Production. We consistently innovate, filing 4-5 patents monthly, totalling 50-60 patents annually across various regions. Anticipating accelerated innovation, we aim to file 100 patents per year in FY 2025-26, 150 patents in FY 2026-27, and a remarkable 400 patents in FY 2027-28. At Bert Labs we believe in challenging the status quo every day. We do this with the power of diversity, inclusion, and collaboration. By connecting different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. Our employee experience includes appreciation, belonging, growth, and purpose for everyone. We are committed to a diverse and inclusive workplace. At Bert Labs, we are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Welcome to Bert Labs family. Responsibilities : - Leading and executing the development effort of Embedded Hardware of Bert products end to end, product development responsibility starting from conceptualizing to deployment. - Stay up to date on forefront of Microcontrollers, Microprocessors, Sensors, Board peripherals and bringing state of the art in the development cycle - Entrepreneurial Leadership role, where in you Innovate every day and do things beyond your current capabilities. Requirements : - Engineering degree from IITs/BITS/NITs/Jadavpur University/DTU/Top Engineering Institutes in USA, Europe, UK/NUS - Proven relevant work experience (as above) in EEE/CS/Embedded Systems or any other relevant field with 5-10 years of experience of Industrial Experience in Product/Platform/Deep Tech/ AI/IoT/Semiconductor/Embedded Systems/IT Services company - Hardware Design and Architecture of mixed signal boards is required. - Experience with CAD design tools - Altium/Orcad is required. - POC, component research and component selection for new designs. - Library management and footprint design in Altium designer. - PCB layout of multilayer boards (4 layers and above) is required. - Design documentation - DFM and DFA is required. - Experience and knowledge of Hardware Certifications, EMI, EMC is appreciated. - Experience and knowledge of industrial standards and protocols is appreciated. - Board Bring-up, Hardware Validation and Verification is required. - Hardware debugging, circuit analysis and board rework is appreciated. - Experience with ARM based controllers/processors required. - Experience on Radio Frequency design and layout is highly appreciated. - Coordination with fabrication and assembly houses for manufacturing is appreciated - Experience in managing projects end-to-end, including gathering requirements, - solutioning and designing architecture, developing, testing, deploying, and maintaining systems - Excellent data structure & algorithm and problem-solving skills - Good understanding of any OOP based programming language - Proven experience in understanding complex user needs and providing practical solutions that can work in production - Excellent communication and leadership skills

Bert Labs - Senior/Lead Research Engineer - Hardware Architecture 

About the role: Ready to build the future with AI At Genpact, we don't just keep up with technology - we set the pace. We are looking for a Lead Consultant - Azure Fabric Developer who can design and maintain end-to-end data solutions, specializing in the Microsoft Fabric unified analytics platform. Key Responsibilities: - Fabric Implementation: Build data pipelines, notebooks, and Spark jobs within Microsoft Fabric. - Data Ingestion & Integration: Develop ingestion pipelines (Azure Data Factory or Fabric Pipelines) from various sources. - Data Transformation & Modeling: Implement data transformations using Fabric Dataflows Gen2, Spark SQL, and Python. - OneLake & Data Warehouse Management: Manage storage in OneLake, build SQL analytics endpoints, and optimize data warehousing. - Optimization & Monitoring: Troubleshoot performance bottlenecks in Spark jobs and pipelines to ensure high performance. - Security & Governance: Implement security protocols (RBAC, private endpoints) to ensure data integrity. - DevOps & CI/CD: Implement DevOps practices, including version control (Git) and automated deployment (CI/CD). Qualifications: - Platforms: Microsoft Fabric (Mandatory), Azure Data Factory, Azure Synapse Analytics, ADLS Gen2. - Languages: Python (PySpark), SQL, Spark SQL. - Data Processing: Delta Lake (ACID transactions, schema evolution), ETL/ELT pipelines, Medallion Architecture (Bronze/Silver/Gold). - Reporting: Power BI (DAX, Power Query M). - Other: Data Modeling (Star Schema), Azure DevOps, Git. Preferred Qualifications: - Education: Bachelor's degree in Computer Science, Data Engineering, or related field. - Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Fabric-specific certifications are preferred. - Experience with Open Source Cloud and configuration management tools (Terraform, Ansible, etc.). - Experience with alternate cloud providers.

Anywhere in India/Multiple Locations

Lead Consultant - Azure Fabric Development 

Company Description : We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in. Job Description : Requirements : - Strong experience in Data Governance, Metadata Management & Data Lineage. - Hands-on experience with Collibra, Informatica Knowledge Catalog (IKC) or similar metadata/cataloguing tools. - Business Glossary, Metadata & Data Catalog Management. - Data Mapping, Data Lifecycle & Impact Analysis. - Stakeholder Management, Workshops & Requirements Gathering. - Strong understanding of Data Modelling concepts and Data Governance standards. - SQL and querying large, complex datasets. - Data Profiling and Data Quality Management. - Agile (Scrum/Kanban) methodology experience. - Experience with multi-cultural/global teams. - Knowledge of Critical Data Elements (CDEs) and Regulatory Compliance. - Ability to define Data Quality Rules and support governance initiatives. Responsibilities : - Support Data Governance, Metadata Management, and Data Lineage activities across the organization. - Manage and maintain business glossary, metadata, and data catalog information using Collibra, Informatica Knowledge Catalog (IKC), or similar metadata/cataloguing tools. - Perform data mapping, data lifecycle management, and impact analysis activities. - Conduct stakeholder workshops and requirements-gathering sessions to understand business and data requirements. - Support data modelling activities and ensure alignment with Data Governance standards. - Work with stakeholders to define and maintain business glossary terms, metadata, data assets, and data relationships. - Support data profiling and data quality management activities to identify and address data quality issues. - Define and maintain Data Quality Rules and support governance initiatives. - Identify and manage Critical Data Elements (CDEs) and support Regulatory Compliance requirements. - Use SQL to query and analyze large, complex datasets as required. - Collaborate with multi-cultural/global teams to support data governance and metadata management initiatives. - Work using Agile (Scrum/Kanban) methodology to deliver governance and data management activities. - Perform data impact analysis and support identification of upstream and downstream data dependencies. - Support continuous improvement of Data Governance, Metadata Management, Data Quality, and Data Catalog processes. Qualifications : - Bachelor's or master's degree in computer science, Information Technology, or a related field.

Gurgaon/Gurugram

Nagarro - Staff Engineer - Data Governance 

Role Overview : We are hiring a Senior Lead - Patch & Vulnerability Management to architect and operationalize our enterprise-wide remediation program across Azure-first hybrid environments. This is a strategic, hands-on leadership role owning the full lifecycle - discovery, risk-based prioritization, patch engineering, automation, verification, and executive reporting. You will define SLAs, lead zero-day response, and mentor a team of engineers. Required Skills & Experience : - Experience: 8+ years in Vulnerability/Patch Management, with 3 - 4 years in a Lead or Architect role. - Vulnerability Management: End-to-end VM lifecycle management, including discovery, assessment, prioritization, remediation, validation, and reporting. - Microsoft Security: Strong hands-on experience with Defender XDR, Defender for Cloud, Defender TVM, MDE, Intune, Azure Arc, Azure Update Manager, Entra ID, Azure Policy, and KQL. - Patch Management: Expertise in SCCM/MECM, Azure Update Manager, WSUS, Intune, and Patch My PC. - Cloud Security: Experience managing vulnerabilities across Azure and hybrid environments. AWS/GCP exposure is preferred. - Automation: Strong PowerShell, Python, or Bash skills. Ansible/AWX and Azure Automation are an advantage. - ServiceNow: Strong experience with incident, change, problem, CAB, API integration, SLA, and reporting processes. - Zero-Day Response: Experience with impact assessment, emergency patching, compensating controls, and vulnerability revalidation. - Asset Management: Ability to identify gaps across CMDB, Intune, Defender, Azure, and actual infrastructure. - Risk & Governance: Experience managing SLAs, KPIs, MTTR, vulnerability coverage, and executive reporting. - Leadership: Experience leading VM/remediation teams and coordinating with Infrastructure, Cloud, DevOps, and Security teams. Certifications : - AZ-104, AZ-500, CISSP, CISM, or ITIL are preferred. Good to Have : - SOAR/orchestration platform experience; AI/LLM-assisted security workflows. - Regulated environments (financial services, healthcare) with compliance mapping (NIST, CIS, ISO 27001, PCI-DSS). - CMDB/asset-inventory hygiene, dependency mapping. - Container security (Kubernetes, Docker) and IaC scanning (Checkov, Terrascan). Certifications (Preferred, Not Mandatory) : - Microsoft: AZ-104, AZ-500, MD-102. - CISSP, CISM, CCSP. - Qualys/Tenable Certified Specialist. - ITIL Foundation.

Mohali

Pune

Punjab

Cywarden - Senior Lead - Patch & Vulnerability Management 

Job Title : Database Architect Key Skills : Database Architecture, AWS Cloud, Data Modeling, PostgreSQL, MongoDB, MS SQL Server, Redis, Database Administration, Data Security, CI/CD, Performance Optimization. Experience : 10+ Years. Location : Greater Noida / Hyderabad / Bengaluru. Shift : General Shift. Mode : Hybrid / Work From Office. We at Coforge are hiring a Database Architect with the following skill-set. Key Responsibilities : Architecture & Design : - Provide strategic guidance on database architecture, storage optimization, utilization, and platform selection. - Design secure, scalable, and high-performance database solutions aligned with business requirements. - Develop and maintain database architecture, design standards, and technical documentation. - Ensure database implementations comply with organizational policies, governance standards, and regulatory requirements. - Create data monitoring frameworks and collaborate with business and application teams on new solution releases. - Implement CI/CD practices for database deployments and data platform automation. - Design and enforce cloud-native security controls for AWS database services. - Lead database modernization, migration, capacity planning, upgrades, and scalability initiatives. - Evaluate and recommend future database technologies and platforms. Database Administration : - Install, configure, administer, and support MS SQL Server, PostgreSQL, MongoDB, and Redis environments. - Manage cloud-based and on-premises database solutions. - Monitor, troubleshoot, and optimize database performance, availability, and reliability. - Implement backup, recovery, disaster recovery, and business continuity strategies. - Manage database security, user access controls, and compliance requirements. - Collaborate with application development teams on database design, optimization, and performance tuning. - Maintain enterprise data models and ensure data quality standards are met. - Stay updated on emerging database technologies and cloud database service offerings. Stakeholder Management : - Communicate technical concepts effectively to both technical and non-technical stakeholders. - Work closely with cross-functional, onsite, and offshore teams. - Identify risks proactively and recommend remediation strategies. - Support business teams with architecture recommendations and solution improvements. Mandatory Skills : - Strong expertise in Database Architecture and Administration. - Hands-on experience with AWS cloud database services. - Extensive experience with PostgreSQL, MongoDB, MS SQL Server, and Redis. - Strong knowledge of Data Modeling, Data Architecture Frameworks, and Information Classification. - Experience implementing database security, compliance, and governance controls. - Proven expertise in database performance tuning, monitoring, and optimization. - Experience with CI/CD implementation and automation for data platforms. - Strong understanding of disaster recovery, backup, and migration strategies. Soft Skills : - Strong communication and presentation skills. - Excellent stakeholder management capabilities. - Ability to work effectively in global and cross-functional environments. - Strong analytical and problem-solving skills. - Adaptability to changing business priorities and project requirements. - Proactive mindset with strong ownership and accountability. Educational Qualifications : - Bachelor's Degree in Information Technology, MIS, Computer Science, Engineering, or related discipline. Experience Required : - 10+ years of experience in Data Architecture, Data Modeling, Database Design, Security, Administration, and Performance Engineering. - Proven experience architecting and implementing enterprise-scale solutions in AWS. - Demonstrated ability to design secure, scalable, and resilient database platforms. Nice to Have : - AWS Certified Database Specialty / AWS Solutions Architect Certification. - Experience with Infrastructure as Code (Terraform, CloudFormation). - Exposure to Data Governance and Data Security frameworks. - Experience with large-scale cloud migrations and modernization programs.

Greater Noida

Coforge - Database Architect - PostgreSQL/MongoDB 

Role : Sr. Database Administrator - Mumbai/Thane - Engineering Team Work from Office - Full-time Are you passionate about building highly scalable and resilient database platforms? Do you enjoy solving complex distributed systems and performance engineering challenges? Are you excited to work on large-scale production environments handling TB-scale data? If so, then we know exactly where you fit in. Mandatory: - One OLTP ( MySQL ) - One NoSQL (either MongoDB or Cassandra) - Proficiency in any one programming language How will we evaluate you? ( not limited to ): 1. Proven experience with InnoDB engine internals. 2. Proven experience with the MySQL query optimizer. 3. Automation mindset. 4. This is not a typical manual admin profile. 5. Proven database migration experience. 6. If you focus on details, it will be good for us to understand you. 7. Proven experience with database upgrades. 8. Say, 8 - 8. 9. Proven troubleshooting experience. 10. Experience working with data sizes in the TB range and large clusters (e.g., 20 - 50 nodes per cluster) is beneficial. 11. Good if you able to convert business use case to technical. 12. Proven experience with the WiredTiger engine. 13. Good understanding of sharding, partitioning, sharded clusters, replication, HA and DR. We will evaluate based on these. Preferred but not mandatory : - Good understanding of HTAP solutions. - Good understanding of OLAP ( LSM ) based databases. - Ansible, Terraform, Docker, and containers. - CloudSQL and RDS What we don't need?: - Just installation, uninstallation, database creation, or user management experience. - A non-problem-solving attitude. Why Netcore : Being first is in our nature. Netcore Cloud is the first and leading AI/ML-powered customer engagement and experience platform (CEE) that helps B2C brands increase engagement, conversions, revenue, and retention. Our cutting-edge SaaS products enable personalized engagement across the entire customer journey and build amazing digital experiences for businesses of all sizes. Netcore's Engineering team focuses on adoption, scalability, complex challenges, and fastest processing. We use versatile technology stacks and distributed systems technologies including Kafka, RabbitMQ, Redis, streaming platforms, and large-scale cloud-native architectures. Netcore has the perfect combination of experience as well as an agile mindset. We currently work with 6500+ enterprise brands across multiple countries and serve some of the fastest-growing digital businesses globally. Headquartered in Mumbai, we have global footprints across multiple countries including the United States and Germany. Being certified as a Great Place to Work for consecutive years reinforces Netcore's principle of being a people-centric company - where you will not be just an employee but a family member of the organization. A career at Netcore is more than just a job - it's an opportunity to shape the future. What's in it for you : - Opportunity to work on massive-scale distributed systems and databases. - Exposure to modern cloud-native and high-performance database architectures. - Immense growth, continuous learning, and ownership of critical systems. - Work with some of the most innovative engineering minds in the industry. - Open culture where innovation and ideas are encouraged. - Opportunity to solve challenging real-world scalability and reliability problems. - Knowledge-sharing sessions, hackathons, and collaborative engineering culture.

Mumbai

Thane

Netcore Cloud - Senior Database Administrator - InnoDB 

About Blink Health : Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products BlinkRx and Quick Save remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients. BlinkRx is the worlds first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. Position Overview : We are seeking a highly skilled and experienced Senior IT Applications Engineer to join our team. The successful candidate will play a crucial role in managing and optimizing our IT applications, ensuring seamless integration, automation, and workflow improvements. Core focus: - Okta Workflows, SSO, SCIM and API integrations - IAM and enterprise IT applications - Automating manual processes with reliable workflows and scripts - Connecting SaaS platforms such as Slack, Google Drive, DocuSign and PagerDuty Key Responsibilities: - Administer and optimize core IT applications including Okta, Slack, Google Workspace, Atlassian Suite, and Zoom. - Implement and maintain integrations, automations, and workflows across IT applications. - Support and improve automated onboarding and offboarding processes. - Manage identity and access across IT applications, including role-based access control (RBAC). - Conduct periodic user and admin access reviews and participate in HIPAA and PCI audits. - Provide Tier 2/3 support to the IT Helpdesk and resolve complex issues independently. Qualifications : - 8+ years of hands-on experience in administering IT applications. - Expertise in Okta, Intune, JAMF, Google Workspace, Microsoft 365, Jira, Confluence, Zoom, and AzureAD. - Strong experience in Identity and Access Management and Role-Based Access Control. - Proven experience in automating processes and integrating IT applications. - Excellent communication skills and ability to work collaboratively with cross-functional teams.

Blink Health - Senior IT Applications Engineer 

Eligibility Note : We are looking for someone with 4+ years of technical project management experience. You should be well-versed in AWS ecosystem. This role is not for you. If your default is to forward messages between the client and engineering. Your role has primarily been reporting/coordination without delivery or ownership. You have only facilitated agile ceremonies without driving delivery outcomes. Sprint ownership and execution were largely driven by a Business Analyst or Product Owner in your previous roles. Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60 - 70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. When a firm signs fixed dates and absorbs its own overages, project management stops being status theater and becomes the delivery mechanism. You'll lead a large-scale data center migration and modernization program moving workloads, applications, and infrastructure to AWS planning the waves, tracking the risks, aligning engineering, architecture, security, and business teams, and keeping the committed date defensible every single week. The engineers own the technical judgment. You own the schedule they ship against and the communication the customer plans against. What you will do : - Lead end-to-end planning and execution of the data center migration to AWS: assessment, discovery, design, migration waves, and stabilization. - Drive modernization initiatives containerization, refactoring, re-platforming, and automation improvements. - Develop and maintain project plans, migration wave schedules, RAID logs, communication plans, and status reports. - Keep activities aligned with cloud adoption frameworks, enterprise architecture guidelines, and the client's business objectives. - Track scope, priorities, risks, dependencies, delays, and deliverables across multiple workstreams - surface slippage before it costs the date. - Serve as the primary point of contact between engineering teams, leadership, and client stakeholders. - Run steering committee meetings, sprint reviews, and technical workstream syncs. - Align cross-functional teams: cloud architects, network/security teams, DevOps, and application owners. - Manage vendor relationships and third-party integrators involved in migration execution. - Run daily stand-ups, sprint planning, and sprint retrospectives. - Facilitate internal and external architecture discussions and review calls, and document decisions with teams working across India and three US time zones. - Proactively produce meeting notes and weekly customer presentations; keep project documents and recorded calls organized. - Review and approve employee timesheets and leaves; manage the team calendar. - Keep the customer ahead of the project, not behind it - proactively communicate status, risks, and requests. - Own customer escalations and drive them to resolution. - Negotiate scope changes with the documentation to back them - a fixed date only holds if scope is managed in writing. What are we looking for : - 3+ years of proven experience leading data center migration to AWS. - 5+ years of experience as a Project Manager or Scrum Master with customers in US time zones. - Strong understanding of AWS cloud services: landing zones, VPC/networking, IAM, EC2, RDS, S3, Lambda, EKS/ECS, and migration tools. - Expertise in Smartsheet, Jira/Confluence, and Clockify. - Excellent communication, facilitation, negotiation, and coaching skills. - Expertise in managing internal and external teams. - Strong prioritization and problem-solving skills. You will be preferred if you have: - Experience in cloud migration projects on AWS. - Solution Architect Associate Certification. - Professional Scrum Master certification. - Managing Jira Projects certification. - Smartsheet Certification. How we work : Aedeon absorbs the discovery, mapping, and validation work that traditional engagements bill analyst hours against roughly 60 - 70% of the hours an equivalent-scope consulting proposal staffs for. Forward-deployed engineers embed with the customer and own the cutover. Your job is the connective tissue: wave schedules that hold, risks surfaced with lead time, decisions documented, and a customer who never has to ask "is this on track?" We commit to dates in the contract. You're the person who makes those dates boring.

Mactores - Technical Project Manager - AWS Migration 

Company Description: We are a Series A Funded New Age Information Security & Data Analytics Company and we take pride in the fact that we have been delivering value to our customers with our innovative offerings and helping them adopt a variety of our security solutions that are based on cutting edge technologies like Artificial Intelligence, Predictive Intelligence, Facial Biometrics and so on. We are among the top 5 Cyber excellence companies globally (Holger Schulze awards) and have won similar recognitions at National and International arenas. To our credit, more than 100 customers in India already trust us and the list is only growing. Exciting things are happening at Innefu and we are all game for a big leap forward. Job Description : As a Senior Python Developer at Innefu Lab, you will be involved in all aspects of the software development life cycle, from requirements analysis to deployment. You will collaborate with cross-functional teams to design and implement solutions that meet client needs and industry standards. Your responsibilities will include but are not limited. Key Responsibilities : - Lead the design, development, and maintenance of robust Python applications. - Hands on experience in Elastic Search, ETL Framework. - Collaborate with cross-functional teams to define, design, and ship new features. - Mentor junior developers, providing guidance and technical leadership. - Ensure code quality through best practices, code reviews, and testing. - Identify and troubleshoot performance issues, optimizing applications for maximum speed and scalability. - Stay updated with emerging technologies and industry trends. Qualifications: - Bachelor's degree in computer science, Engineering, or related field. - 5+ years of experience in Python development, with a strong focus on Core Python. - Proven experience in a Senior or Lead Developer role. - Proficient in software development best practices, design patterns, and code quality standards. - Familiarity with frameworks such as Django or Flask is a plus. - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration abilities.

Delhi

Innefu Labs - Senior Python Developer 

Role Overview : We are looking for an experienced Java Full Stack Developer to design, develop, and maintain scalable, high-performance enterprise applications. The ideal candidate will have strong expertise in Java, Spring Boot, microservices, AWS, and event-driven architectures, along with hands-on experience in modern frontend technologies such as TypeScript, React, and Node.js. Key Responsibilities : - Design, develop, and maintain scalable and high-performance applications using Java and Spring Boot. - Build robust RESTful APIs, microservices, and enterprise applications. - Develop frontend applications using React and TypeScript, with exposure to Next.js. - Design and implement microservices, Domain-Driven Design (DDD), and event-driven architectures. - Develop and integrate messaging and event-driven solutions using Apache Kafka and/or RabbitMQ. - Design and optimize solutions using SQL Server, PostgreSQL, and NoSQL databases such as DynamoDB. - Design, deploy, and manage cloud-native applications on AWS, including EC2, Lambda, ECS/Fargate, RDS, DynamoDB, CloudWatch, and related services. - Implement Infrastructure as Code using Terraform, CloudFormation, CDK, and/or Ansible. - Develop and maintain CI/CD pipelines using GitHub Actions, TeamCity, Octopus Deploy, CodePipeline, and CodeBuild. - Containerize and deploy applications using Docker and Kubernetes. - Implement automated testing and quality engineering practices across the application lifecycle. - Participate in architecture discussions, technical design, code reviews, and performance optimization. - Troubleshoot complex application, infrastructure, integration, and production issues. - Collaborate with product managers, architects, developers, QA, and other stakeholders to deliver high-quality solutions. - Mentor junior developers and contribute to engineering standards, best practices, and continuous improvement. Requirements : - 7 - 12 years of experience in software development, with 7+ years of hands-on Java development. - Strong expertise in Java, Spring Boot, and RESTful API development. - Strong understanding of microservices architecture, Domain-Driven Design (DDD), and event-driven systems. - Hands-on experience with Apache Kafka and/or RabbitMQ. - Strong experience with SQL Server, PostgreSQL, and familiarity with NoSQL databases such as DynamoDB. - Good hands-on experience with AWS, including EC2, Lambda, ECS/Fargate, RDS, DynamoDB, and CloudWatch. - Experience with Docker and Kubernetes. - Strong understanding of CI/CD and DevOps practices, with experience using GitHub/GitHub Actions, TeamCity, Octopus Deploy, or equivalent tools. - Experience with Terraform, CloudFormation, CDK, and/or Ansible for Infrastructure as Code. - Hands-on experience with TypeScript, React, and JavaScript/Node.js. - Exposure to Next.js would be an advantage. - Strong understanding of automated testing, quality engineering, and test-driven/quality-driven development practices. - Strong problem-solving, communication, collaboration, and technical leadership skills.

Virtusa - Java Full Stack Developer 

About the Role : We are looking for an experienced Java Cloud Platform Engineer to design, develop, deploy, and scale cloud-native backend services and supporting infrastructure. The role combines strong Java/Spring Boot development with cloud engineering, containerization, CI/CD, and platform automation to deliver secure, scalable, and high-performance applications on AWS. Key Responsibilities : - Design, develop, and maintain scalable Java microservices using Spring Boot. - Develop and integrate robust RESTful APIs and backend services. - Design, provision, and maintain cloud infrastructure and application environments on AWS. - Containerize applications using Docker and deploy/manage workloads on Kubernetes. - Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment. - Automate infrastructure and application deployment processes using appropriate cloud and DevOps tools. - Monitor application and infrastructure performance and troubleshoot deployment, availability, scalability, and performance issues. - Identify and remediate security vulnerabilities across applications, infrastructure, and deployment environments. - Optimize Java applications and cloud infrastructure for performance, reliability, scalability, and cost efficiency. - Work closely with software engineers, architects, DevOps teams, and other stakeholders to deliver cloud-native solutions. - Implement logging, monitoring, alerting, and operational best practices for production environments. - Participate in code reviews, technical design discussions, and continuous improvement initiatives. - Contribute to engineering standards, documentation, automation, and operational processes. Requirements : - 5 - 10 years of experience in Java development, cloud engineering, or platform engineering. - Strong hands-on expertise in Java and Spring Boot. - Strong understanding of microservices architecture and RESTful API development. - Experience working with relational and NoSQL databases. - Hands-on experience with AWS cloud services and cloud-native application deployment. - Strong experience with Docker and Kubernetes. - Experience designing and managing CI/CD pipelines and automated deployment processes. - Good understanding of cloud infrastructure, networking, security, monitoring, and troubleshooting. - Experience with automation and Infrastructure as Code tools would be an advantage. - Strong problem-solving and analytical skills with the ability to troubleshoot complex application and infrastructure issues. - Good understanding of secure software development and cloud security practices. - Experience with ReactJS would be an advantage. - Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.

Virtusa - Java Cloud Platform Engineer 

Job Description : At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are - with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action - enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies : - 7+ years of software engineering experience with 5+ years in Data Engineering, including advanced Python expertise for building scalable, production-grade solutions - Proven experience designing and optimizing Retrieval-Augmented Generation (RAG) pipelines, hybrid search strategies, vector databases, embedding models, and evaluation frameworks - Strong knowledge of large-scale data engineering, including ETL/ELT development, batch and streaming pipelines, distributed computing frameworks, and workflow orchestration tools such as Airflow, Prefect, or Dagster - Hands-on experience integrating REST/GraphQL APIs, implementing caching solutions, and applying data privacy, security, and access-control best practices - Proficiency with modern AI frameworks and libraries including LangChain, LangGraph, Pandas, NumPy, Polars, and Pydantic - Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency - Proven ability to implement AI-powered solutions to solve business challenges. - Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education : - Bachelor's, Master's, or PhD degree in Computer Science, Information Technology, Artificial Intelligence, or a related discipline - AI-related certifications are preferred Responsibilities : - Design, develop, and maintain scalable data engineering solutions that support AI-driven products and services - Architect and optimize advanced retrieval systems, including RAG pipelines, vector search platforms, and embedding strategies - Develop and manage large-scale batch and streaming data pipelines while ensuring data quality, reliability, and performance - Establish retrieval evaluation frameworks and continuously improve search relevance, latency, and operational efficiency - Integrate external data sources and APIs, leveraging caching and performance optimization techniques where appropriate - Champion best practices in data engineering, AI solution development, security, documentation, and stakeholder communication About the Team : The Asset Management Technology team within Moody's Analytics develops innovative software, advanced analytics, and AI-driven solutions that support investment decision-making in the Structured Finance domain. Working within a global, cross-functional environment, the team leverages modern technologies to build scalable, future-ready products that help clients manage risk and identify opportunities in evolving financial markets. Moody's is an equal opportunity employer.

Moody's - Staff Software Engineer - Data Engineering 

Mandatory technical & functional skills : - Minimum 7+ years of relevant experience in technology advisory - Substantial hands-on experience in Enterprise Architecture assessments, target-state architecture definition, architecture governance, transformation roadmap development - Hands on experience with Enterprise Architecture platforms such as Ardoq, LeanIX, Alfabet, Bizzdesign or ABACUS, including repository management, capability modelling, application portfolio management and architecture reporting. The candidate should demonstrate strong experience in Enterprise Architecture, along with experience in one or more of the following areas : - IT Strategy & Target Operating Model - Agile & DevOps Assessment/Transformation/Strategy - Digital IT Transformation - IT Organizational Design - IT Cost Optimization - Application Portfolio Rationalization - Emerging Technology Strategy (eg: Generative AI) - Business Requirements Gathering & Documentation - Process Mapping and Gap Analysis - Proficient in preparing C-suite level Decks, Reports and Excel frameworks Roles & responsibilities : - Define enterprise architecture principles, standards, reference architectures, target-state blueprints and transition roadmaps; establish architecture governance frameworks, Architecture Review Boards (ARBs), design authority processes and decision-making mechanisms to guide technology investments and enable business and digital transformation. - Facilitate architecture workshops and stakeholder discussions with business and technology leaders to validate the current state, define the target state, resolve cross-domain architecture decisions and build alignment on the transformation roadmap - Contribute to CIO Advisory initiatives and develop new approaches to help organizations transform their technology landscape and adopt emerging technologies - Engage business and technology stakeholders through interviews, workshops and architecture discovery sessions to understand strategic objectives, business capabilities, technology constraints and transformation priorities, and translate them into architecture requirements and decisions - Analyze architecture and portfolio data to identify technology duplication, lifecycle risks, capability gaps, technical debt, dependencies and rationalization opportunities; support application portfolio management and technology investment prioritization through executive-level insights and visualizations - Develop comprehensive project plans, timelines, and resource allocations that align with business requirements and constraints. Coordinate project activities across different teams and departments to ensure seamless execution and collaboration

KPMG - IT Strategy & Modern Technical Manager - Enterprise Architecture 

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