Billennium Reviews by Employees

Job Description : - 8 - 12 years of experience in enterprise integration, with strong expertise in integration architecture and hands-on MuleSoft experience. - Strong architecture background and ability to act as a technical design authority in complex enterprise environments. - Strong knowledge of MuleSoft Anypoint Platform, API Management, CloudHub and API-led connectivity. - Strong knowledge of REST, SOAP, Kafka, AMQP/RabbitMQ, MQTT and enterprise messaging patterns. - Experience with Salesforce, SAP and other enterprise application integrations. - Experience with Azure, Docker and Kubernetes environments. - Experience with Azure DevOps, CI/CD, Git and Terraform. - Strong understanding of API and integration security, scalability, resilience, performance and observability. - Experience with monitoring and logging solutions such as Elastic, Grafana and platform-specific monitoring tools. - Understanding of ServiceNow, ITIL, Change Management and CAB processes. - Strong architecture governance, solution review, technical leadership and stakeholder management skills. - Ability to work across multiple delivery teams and projects. - Professional English. - MuleSoft Platform Architect certification. - MuleSoft Integration Architect certification.

Pune

Billennium - Integration Architect 

About the Role : We are looking for an experienced Senior .NET Developer / Technical Lead to design, develop, and deliver scalable, high-performance enterprise applications using the latest Microsoft technologies. The ideal candidate will have strong expertise in modern .NET development, Azure cloud services, and DevOps practices, along with the ability to mentor developers and drive technical excellence across the development lifecycle. Key Responsibilities : - Design, develop, and maintain scalable backend applications using C# and .NET 6/8/10. - Build and integrate robust RESTful Web APIs for enterprise-grade applications. - Develop clean, maintainable, and testable code following industry best practices. - Work with Entity Framework Core, MediatR, ASP.NET Core, and XUnit to build reliable applications. - Design and optimize SQL databases while ensuring high performance and scalability. - Develop and deploy cloud-native applications using Microsoft Azure services. - Implement Infrastructure as Code (IaC) using Bicep, ARM Templates, or similar technologies. - Build and maintain CI/CD pipelines to automate application deployment and release management. - Collaborate with cross-functional teams to define technical solutions and architecture. - Evaluate technical approaches through experimentation, benchmarking, and continuous improvements. - Mentor junior developers, conduct code reviews, and promote engineering best practices. Required Skills & Qualifications: - 10-12 years of hands-on experience in software development using Microsoft technologies. - Strong proficiency in C#, .NET 6/8/10, and SQL. - Experience with NoSQL databases is an added advantage. - Expertise in: 1. ASP.NET Core 2. Web API Development 3. Entity Framework Core 4. MediatR 5. XUnit - Strong experience with Microsoft Azure, including: 1. Azure App Services 2. Azure Functions 3. Azure Key Vault 4. Azure App Configuration 5. Azure Application Insights 6. Azure Blob Storage 7. Azure Service Bus (or similar queue providers) - Experience with Infrastructure as Code (IaC) using Bicep, ARM Templates, or equivalent tools. - Familiarity with CI/CD pipelines and DevOps practices. - Strong analytical, debugging, and problem-solving skills. - Excellent communication skills with the ability to collaborate effectively in cross-functional teams. Nice to Have: - Experience in search solutions, data extraction, and data preprocessing. - Exposure to AI-powered search, vector databases, and data analytics. - Familiarity with prompt engineering and optimizing AI prompts. - Understanding of modern AI technologies and their integration into enterprise applications. Preferred Candidate Profile: - Strong understanding of software architecture, design patterns, and scalable application development. - Experience leading technical initiatives and mentoring development teams. - Ability to evaluate new technologies and recommend best-fit solutions. - Self-driven, proactive, and passionate about building high-quality software.

Remote

Anywhere in India/Multiple Locations

Billennium - Senior .Net Developer/Lead 

Job Description : - Proven commercial experience developing applications with Google AppSheet. - Strong understanding of AppSheet architecture, data modeling, expressions, actions, workflows, and automation. - Experience integrating AppSheet with Google Workspace and external systems through APIs, webhooks, or integration platforms. - Knowledge of relational database concepts and experience working with SQL databases and cloud-based data sources. - Familiarity with Google Cloud Platform services is an advantage. - Understanding of application security principles, access control, and data protection best practices. - Experience working in Agile/Scrum delivery environments. - Ability to analyze business processes and translate requirements into scalable technical solutions. - Strong analytical and problem-solving skills. - Excellent communication skills and ability to work effectively in cross-functional and distributed teams. - Experience preparing technical documentation and participating in knowledge transfer activities. - Professional proficiency in English (written and spoken). Education: - UG: B.Tech / B.E. in Any Specialization Key Skills: - Google Apps Script, Google Workspace, AppSheet, Google Cloud Platform, SQL

Billennium - Senior Appsheet Developer/Lead 

Core Platform Expertise : - Sprinklr Mastery : 3+ years of hands-on administration experience within the Sprinklr enterprise ecosystem. Must have deep experience configuring Sprinklr Modern Care (routing, queues, macros), Modern Marketing (paid orchestration, asset manager), and Modern Research (listening queries, AI intent tagging). Sprinklr Platform Administrator or Pro certifications are highly preferred. - Messaging platform Infrastructure : Proven experience building and managing conversational workflows within the Infobip portal. Must understand how to configure the WhatsApp Business API, SMS failover logic, and multi-channel conversational loops using messaging platforms workflow tools. - LinkedIn Sales Navigator (LSN) Integration : Experience technically linking LSN into CRMs and enterprise social platforms (like Sprinklr) to support social selling, identity resolution, and audience segmentation mapping. Data Signals & Tracking Architecture : - Advanced Tag Management : Deep expertise in Server-Side Google Tag Manager (sGTM), data layer design, and advanced JavaScript for custom tag modification. - Platform APIs & Conversions : Direct, hands-on experience implementing and troubleshooting server-to-server tracking protocols, specifically Meta Conversions API (CAPI), Google Enhanced Conversions, and TikTok Events API. - Identity Resolution & CRM Data Flow : Proven track record of configuring data pipelines, webhooks, and REST APIs to pass event data (e.g., user behaviors, opt-ins, Lead Gen forms) seamlessly between social platforms, messaging platforms, and enterprise CRMs (e.g., Salesforce, Microsoft Dynamics, Veeva). Foresight, Compliance & Analytics : - Privacy & Consent Tech : Solid technical understanding of data privacy frameworks (GDPR, CCPA) and experience integrating consent management platforms (e.g., OneTrust, Cookiebot) with your tagging and messaging setups. - Quality Assurance & Debugging : Proficiency with technical debugging and proxy tools (e.g., Charles Proxy, OmniBug, Fiddler, platform pixel helpers) to diagnose broken data pipelines or looping chat flows. - AI Readiness : Experience or strong technical literacy in configuring vendor-provided AI layers (e.g., Sprinklr AI+ Studio, conversational AI bots/LLMs within Infobip) for automated intent classification and messaging routing. Professional Experience & Mindset : - Experience : 5-8+ years in a Technical Marketing Operations, MarTech Implementation, or Solutions Engineering role. - The "Doer" Mentality : You must love configuring systems, writing logic rules, and fixing broken integrations. This is not a management or campaign strategy role; it is an implementation and technical strategy role. - Collaboration Style : Ability to seamlessly read an Enterprise Architects blueprint and turn it into operational, configured reality, while translating technical platform updates into plain English for creative and paid media execution teams.

Billennium - MarTech Integration Lead 

Job Summary: We are looking for a Senior Front-End Developer with 5+ years of experience building scalable, high-performance web applications using the React ecosystem. The ideal candidate will have strong expertise in React, TypeScript, Redux, Node.js, modern front-end development practices, and experience mentoring team members. This role involves developing and maintaining responsive user interfaces, integrating with backend services, ensuring code quality through testing and reviews, and contributing to front-end architecture and design system implementation. Key Responsibilities: - Develop, maintain, and enhance modern front-end applications using React and TypeScript. - Build reusable, scalable, and maintainable UI components following established coding standards and best practices. - Implement application state management using Redux for complex front-end workflows. - Integrate front-end applications with REST APIs and WebSocket-based services to enable seamless data exchange and real-time functionality. - Collaborate closely with backend developers, product managers, designers, and QA teams to deliver high-quality software solutions. - Translate Figma designs into pixel-perfect, responsive, and production-ready user interfaces. - Develop and maintain component libraries using Material UI and Storybook to ensure consistency across applications. - Write comprehensive unit and component tests using React Testing Library to maintain application quality and reliability. - Participate actively in Git-based development workflows, including branching strategies, pull requests, and version control best practices. - Conduct thorough code reviews to maintain code quality, consistency, and adherence to engineering standards. - Troubleshoot, debug, and optimize front-end applications for performance, scalability, and maintainability. - Mentor junior developers by providing technical guidance, reviewing code, and promoting engineering best practices. - Collaborate with cross-functional teams to identify technical improvements and contribute to continuous enhancement of development processes. Required Skills & Experience: Technical Skills: - 5+ years of experience as a Senior Front-End Developer. - Strong expertise in React and TypeScript. - Hands-on experience with Redux for application state management. - Working knowledge of Node.js. - Strong proficiency in HTML5, CSS3, and SCSS. - Experience integrating REST APIs and WebSocket services. - Strong understanding of Git workflows and code review practices. - Experience writing tests using React Testing Library. - Hands-on experience using Storybook for developing and maintaining design systems. - Experience building user interfaces with Material UI. - Ability to convert Figma designs into responsive, production-ready applications. Professional Skills: - Strong problem-solving and debugging capabilities. - Ability to write clean, maintainable, and reusable code. - Experience collaborating within Agile development teams. - Strong communication and interpersonal skills. - Experience mentoring and supporting junior developers. - Ability to work effectively in a collaborative, fast-paced engineering environment. Nice to Have: - Experience configuring Webpack for front-end applications. - Familiarity with Docker and CI/CD pipelines. - Understanding of WCAG guidelines and web accessibility best practices. - Basic knowledge of cloud platforms, preferably AWS. Preferred Candidate Profile: - 5+ years of professional front-end development experience. - Strong expertise across the React ecosystem with modern JavaScript/TypeScript development. - Proven experience building scalable, responsive, and reusable front-end applications. - Experience working with design systems and component libraries. - Demonstrated experience conducting code reviews and mentoring development teams. - Ability to collaborate effectively with cross-functional stakeholders while delivering high-quality software solutions.

Billennium - Senior Frontend Developer - React.js 

Job Description: - 3+ years of experience as a PEGA developer. - PEGA CSSA certified working with PEGA version 8.x. - Strong Communication skills. - Must have Hands-on Experience in Designing Process flows, Case Management, Reporting, Decision Rules, Background Processing, Integrations, Security and User Interface. - Should have Experience in PRPC Enterprise class structure design & application profiling. - Experience working in PEGA COSMOS / React / Constellation will be preferred. - Experience in handling responsive Ui / Mobile devices compatibility. - Hands on experience in developing interfaces using Integration components like Connectors, Services, Listeners, etc. - Must have Experience in Authentication concepts. - Must have Experience with troubleshooting using tools like PDC, Logs, etc. - Experience in Deployments using Deployment Manager. - Must have Experience in Agile environments & Methodologies. - Provide strategic thinking, solutions and roadmaps to support Development and Business stakeholders. - Strong experience in scoping, planning and delivering projects using iterative software development lifecycles over multiple release cycles. - Experience in the Healthcare domain is preferred.

Billennium - Pega Automation Developer - CSSA Certified 

Role Overview : As a Data Architect AI/ML, you will be responsible for designing, building, and maintaining the data infrastructure that supports our AI/ML initiatives. You will collaborate closely with data scientists, machine learning engineers, and business stakeholders to understand their data requirements and translate them into scalable and efficient data solutions. Your work will directly impact the development and deployment of AI-powered products and services, enable data-driven decision-making and driving business growth. Key Responsibilities : - Design and implement scalable and robust data architectures for AI/ML applications, ensuring data quality, security, and performance. - Develop and maintain data pipelines for ingestion, processing, and storage of large datasets from diverse sources, enabling efficient data access for AI/ML models. - Collaborate with data scientists and machine learning engineers to understand their data needs and provide guidance on data modeling, data warehousing, and data governance best practices. - Evaluate and recommend appropriate data technologies and platforms, including cloud-based solutions (GCP, AWS, Azure), to meet the evolving needs of the organization. - Define and enforce data standards and policies to ensure data consistency, accuracy, and compliance with regulatory requirements. - Lead the design and implementation of data lakes and data warehouses to support analytical and reporting needs across the organization. - Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage, to ensure data transparency and understanding. - Research and evaluate new data technologies and trends, such as LLMs, and provide recommendations for their adoption within the organization. Required Skillset : - Strong Experience : 1. MCP 2. AWS Glue 3. LLM Models / AI Architecture 4. AWS / Azure / GCP (multi-cloud exposure preferred) 5. PostgreSQL 6. Data Architecture & Modern Data Platforms - Demonstrated ability to design and implement data architectures for AI/ML applications, including data modeling, data warehousing, and data pipeline development. - Proven expertise in working with cloud-based data platforms (GCP, AWS, Azure) and related services. - Strong understanding of data governance principles and practices, including data quality, data security, and data compliance. - Experience with various database technologies, including PostgreSQL and other relational and NoSQL databases. - Excellent communication and interpersonal skills, with the ability to effectively collaborate with data scientists, machine learning engineers, and business stakeholders. - Solid understanding of machine learning concepts and techniques, including feature engineering, model training, and model deployment. - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - Ability to work effectively in a fast-paced, collaborative environment. - 12-15 years of relevant experience in Data Architecture, Data Science, and Machine Learning.

Noida

Billennium - Data Architect - AI/ML 

Company Overview : CGI Information Systems and Management Consultants is one of the world's largest independent IT and business consulting services firms. Operating globally, the company partners with clients across diverse sectors - including financial services, government, healthcare, and manufacturing - to deliver end-to-end digital transformation, systems integration, and managed IT services. With a focus on high-end consulting and operational excellence, CGI empowers organizations to navigate complex technological landscapes through a collaborative, localized delivery model. Role Overview : As a Hyperion Developer based in Hyderabad, you will serve as a technical lead responsible for designing, developing, and maintaining sophisticated Enterprise Performance Management (EPM) solutions. You will work closely with global stakeholders and finance teams to translate complex business requirements into robust technical architectures. Your contribution will directly influence the efficiency of financial consolidation, planning, and reporting processes, ensuring that our clients have the data-driven insights necessary for critical decision-making. Key Responsibilities : - Architect and implement complex Hyperion Essbase and Planning applications to streamline financial budgeting and forecasting cycles for global clients. - Design and optimize Oracle FCCS solutions to automate financial consolidation processes, ensuring data integrity and regulatory compliance. - Develop advanced calculation scripts, business rules, and report templates using Hyperion Financial Reporting to provide actionable insights to senior management. - Collaborate with cross-functional teams to troubleshoot performance bottlenecks and enhance the scalability of existing EPM infrastructure. - Lead the end-to-end lifecycle of EPM projects, from requirement gathering and system design to deployment and post-implementation support. Required Skillset : - Demonstrate deep expertise in Hyperion Essbase, Planning, and Financial Consolidation (FCCS) with a proven track record of managing large-scale implementations. - Exhibit strong proficiency in Business Intelligence tools and data integration techniques to ensure seamless connectivity between source systems and EPM applications. - Possess 8 - 15 years of hands-on experience in EPM development, showcasing the ability to handle complex financial logic and multidimensional modeling. - Communicate effectively with technical and non-technical stakeholders to translate business needs into scalable technical specifications. - Maintain a proactive approach to problem-solving, with the ability to adapt to a hybrid work environment in Hyderabad while meeting stringent project timelines. - Hold a relevant degree in Computer Science, Information Technology, or Finance, complemented by a deep understanding of financial accounting principles.

Hyderabad

CGI - Hyperion Developer - EPM 

Role Overview: We are looking for a Digital Analytics / Adobe Experience Cloud professional with 8+ years of strong hands-on experience across Adobe Analytics, Adobe Experience Platform (AEP), Customer Journey Analytics (CJA), Adobe Web SDK, Adobe Target, and modern data collection architecture. The resource should be capable of independently handling implementation, troubleshooting, solution design, migration, and day-to-day technical discussions with clients - moving beyond execution/support to take end-to-end ownership of Digital Analytics engagements, from requirement gathering and solution design through implementation, debugging, validation, migration, and client communication. Key Responsibilities: - Implement, validate, and troubleshoot Adobe Analytics tracking - reporting, segmentation, calculated metrics, attribution, and analysis - using Adobe Tags/Launch for tag management and maintaining data quality, governance, and naming-convention standards. - Translate business requirements into analytics measurement frameworks, event taxonomies, data layers, and implementation specifications. - Design and implement web events using Adobe Experience Platform Web SDK, including XDM event/schema design, Datastreams, Edge Network, and Identity Service configuration. - Own Adobe Analytics to Web SDK migration end-to-end: current-state implementation assessment, mapping, migration planning, validation, and post-migration troubleshooting. - Manage core AEP components - XDM schemas, datasets, identities, data ingestion, and data flows - and troubleshoot data movement from source through AEP into CJA. - Build and maintain Customer Journey Analytics (CJA) connections, data views, dimensions/metrics, calculated metrics, segmentation, and cross-channel/customer journey reporting. - Implement and support Adobe Target activities, audiences, offers, A/B and experience testing, and personalization/recommendations; integrate Target with Adobe Analytics and AEP/CJA for experimentation and measurement. - Investigate and resolve data discrepancies across Adobe solutions using JavaScript, HTML/CSS, JSON, REST APIs, SQL, and browser developer tools/network logs. - Define end-to-end data flows (Web to Web SDK to AEP to Analytics/CJA/Target), and produce technical design documents and implementation specifications, flagging integration risks and dependencies proactively. - Lead client-facing technical discussions, design reviews, and implementation walkthroughs; own requirement gathering and stakeholder management directly. - Mentor junior/fresher resources and review their implementation work. - Ready to work from office. Required Qualifications: - 8+ years of hands-on experience in Digital Analytics / Adobe Experience Cloud implementation, including Adobe Analytics (reporting, segmentation, calculated metrics, attribution, analysis) and Adobe Tags/Launch for tag management, with solid understanding of data layers, events, variables, rules, and tracking architecture. - Working knowledge of Adobe Experience Platform (AEP) - XDM schemas, datasets, identities, data ingestion/flows - and hands-on Customer Journey Analytics (CJA) experience (connections, data views, dimensions/metrics, calculated metrics, segmentation, cross-channel reporting), including identity-stitching concepts. - Strong hands-on experience with Adobe Experience Platform Web SDK - XDM event structures, Datastreams, Edge Network, Identity Service - plus proven experience assessing, planning, and executing Adobe Analytics to Web SDK migrations. - Hands-on experience with Adobe Target implementation and configuration (activities, audiences, offers, A/B and experience testing, personalization, recommendations), including Target + Adobe Analytics/AEP/CJA integration for measurement. - Good working knowledge of JavaScript, HTML/CSS, JSON, and REST APIs, plus working knowledge of SQL for data validation; strong troubleshooting ability using browser developer tools and network logs, and solid requirement-gathering/stakeholder-management and client communication skills.

Chennai

Xerago - Digital Analytics Manager - Adobe Experience Cloud 

Job Description : - 2-5 years of related work experience - Experienced in Implementation, Rollout, and Support of SAP QM module. - Solid understanding of PP Master Data and QM Master Data of Discrete, Process and Repetitive Industries. - The configuration of parameters for MRP. - Configuration and execution of the Shop Floor activities. - Exposure of Discrete, Process and Repetitive Manufacturing Process. - Experience of supporting various Test phases within projects. - Migration of data from company legacy system to SAP system using LSMW tool. - Must be up to date on the latest ERP release.

Mumbai

CarbyneTech - SAP QM Consultant - Support & Implementation 

Responsibilities : - Demonstrate strong understanding of enterprise contact centre architecture. - Understand how agent desktop, routing, skills, queues, and telephony integrations function within enterprise ecosystems. - Support transition planning and migration efforts toward Amazon Connect. - Assist in mapping legacy configurations to cloud-native equivalents. - Ensure governance, documentation, and configuration consistency. - Provide mentorship and technical guidance to platform administrators. Enterprise Contact Centre Administration (Legacy Platforms) : - Administer and configure enterprise contact centre platforms such as Cisco UCCE / Finesse, Genesys Engage / Workspace, or similar enterprise solutions. - Deploy and manage agent desktop components and configurations. - Configure Not Ready and Wrap-Up reason codes. - Create and manage phonebooks and agent teams. - Configure call variable display and desktop settings. - Create and manage agent profiles. - Assign skills and configure skill-based routing. - Maintain routing configurations and queue structures. - Ensure configuration consistency across environments. Migration Support : - Support migration planning from legacy contact centre platforms to Amazon Connect. - Analyse and document existing routing logic, skills, agent states, and configuration dependencies. - Assist in translating legacy routing models into Amazon Connect contact flows, routing profiles, and queues. - Support integration mapping between Amazon Connect and enterprise systems. - Participate in testing, validation, and phased rollout execution. - Support coexistence model during migration. - Assist in documentation and knowledge transfer activities. Must-Have Skills : - Hands-on experience with Cisco UCCE / Finesse. - Hands-on experience with Genesys Engage / Workspace. - Experience with Amazon Connect configuration and administration. - Experience supporting cloud migration or modernization programs. - Familiarity with AWS ecosystem services supporting contact centre integrations. - Experience in hybrid (on-prem + cloud) coexistence environments. - Experience working in regulated enterprise environments.

Bangalore

Lead Cisco Finesse Developer - Contact Centre 

Curious about the role? We are seeking a deeply technical, hands-on, and strategic Data Science Leader to spearhead complex predictive modeling, advanced analytics, and Generative AI initiatives. The ideal candidate must have a strong foundational background as an expert Data Science practitioner who has evolved into a technical leader and architect. While rooted heavily in classical Machine Learning and statistical modelling, you will be responsible for integrating modern Generative AI capabilities into the core data science toolkit to solve high-impact enterprise challenges. In this role, you will lead high-performing teams to architect, deploy, and operationalize robust, production-grade models on the cloud. What your typical day would look like? - End-to-End Modeling: Lead the full data science lifecycle from sourcing, cleaning, and engineering complex, unstructured data to developing highly scalable models. - Core Algorithmic Design: Evaluate, select, and build appropriate Machine Learning and Deep Learning algorithms to ensure model accuracy, optimization, and statistical robustness. - GenAI & LLM Workflows: Apply recent advancements in Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, LlamaIndex) to augment traditional analytics. - Advanced Architecture: Design and optimize Retrieval-Augmented Generation (RAG) systems, prompt engineering frameworks, and specific fine-tuning pipelines to enhance product features and automation. - Production-Scale Infrastructure: Architect end-to-end ML production setups, covering robust data ingestion, model training pipelines, and real-time monitoring. - DS Ops & MLOps Governance: Implement strict governance frameworks and best practices for Data Science Operations (DS Ops). Guide teams on model operationalization, version control, performance tuning, and automated retraining pipelines across major cloud platforms (Azure, AWS, GCP, or Snowflake). - Team Scaling & Mentorship: Manage, mentor, and foster technical growth across high-performing, cross-functional teams of data scientists, ML engineers, and analysts. - Executive Advisory: Translate highly complex algorithmic outcomes and technical findings into clear, value-driven insights and strategic roadmaps for senior enterprise stakeholders. Who do we expect? - 12+ years of total experience in data science, predictive modeling, or advanced analytics, having spent significant time as a hands-on, code-writing practitioner. - 5+ years of proven leadership experience managing, growing, and guiding specialized data science teams on production-level projects. - Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a highly quantitative field (preferred). Core Technical Toolkit: - Advanced Data Science: Deep expertise in Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, and classical statistical modeling. - Modern AI Extensions: Demonstrated proficiency in LLMs, RAG architectures, and fine-tuning pipelines. - Engineering & Scale: Strong hands-on experience with cloud platforms (AWS, Azure, GCP, or Snowflake), data pipelining, and operationalizing models via MLOps. Domain Track Record: - Prior success in executing production projects within highly analytical sectors such as Pharma and BFS.

Tiger Analytics - Principal Data Scientist - Generative AI 

Demand Planning Master Data Management : - Create, maintain, and cleanse CVCs (Characteristic Value Combinations). - Maintain Demand Planning IDs and related planning master data. - Support EDI mapping activities. - Validate demand planning drivers and planning assumptions. Product Lifecycle & Change Management : - Support PIPO (Phase-In/Phase-Out) activities and NPI (New Product Introduction). - Execute commercial and forecast realignments. Demand Analytics & Performance Monitoring : - Perform outlier analysis and investigate forecast exceptions. - Review ASP (Average Selling Price) changes and demand impacts. Operational Planning Support : - Execute post-dated order reviews and exception checks. - Support weekly and monthly demand review processes. - Support additional forecasting and demand review activities required by local business teams. - Respond to ad hoc business requests and planning analyses. Required Qualifications : Experience : - Minimum 3 to 5 years of experience in Demand Planning. - Strong understanding of the operational demand planning cycle. - Experience working within manufacturing, industrial, healthcare, technology, consumer goods, or related industries. - Experience supporting complex product portfolios. System Knowledge : - Hands-on experience with SAP APO-DP (mandatory). - Experience with demand forecasting tools and planning systems (preferably Kinaxis). - Advanced Microsoft Excel skills. Forecast Planning & Maintenance : - Manage product portfolios primarily driven by statistical forecasting. - Upload and maintain demand forecasts. - Execute forecast adjustments and realignments. - Support forecasting activities related to already open sales orders (FDO process). - Maintain forecast change percentages and statistical forecast parameters. - Compare statistical forecasts with machine learning forecasts and aggregated demand signals when required.

Demand Planning Specialist - SAP APO 

- Overall Experience: 10+ years n above /Relevant experience 8 years with Two end to end implementation in SAP MM - 8+ years of hands on experience in SAP MM and WM: MM Org structure, Master data, Purchasing, Special Procurement processes, Inventory Management, Warehouse management, Physical Inventory, Batch and Serial Number Management. - Satellite system integration is required. - 3 PL integration with MM is mandatory requirement. - Working experience in all the phases of project life cycle (Requirement gathering to hyper care) - SAP MM-FI integration knowledge is must - SAP Cross modules (WM, PP, QM, SD) process knowledge is essential - Working experience in Agile / Scrum culture - SAP Consulting Skills with customer focus - Good documentation skills (e.g. URS, FRS, Solution Design, Training manuals, Test scripts etc.) - Good communication skills with professional behavior and can do attitude - Good understanding of integration & touch point with other modules - SAP MM/WM (Preference is certified)

CarbyneTech - SAP MM Consultant - WM/FI Modules 

Role Overview : We are looking for an experienced ServiceNow SPM Developer with strong hands-on expertise in Strategic Portfolio Management (SPM) to design, configure, develop, and support ServiceNow SPM solutions. The role will involve translating business requirements into scalable platform solutions, developing workflows and integrations, and collaborating with business and technical stakeholders to improve portfolio, project, demand, and resource management processes. Key Responsibilities : - Design, configure, customize, and develop ServiceNow SPM solutions based on business requirements. - Work on SPM modules such as Project Portfolio Management, Demand Management, Resource Management, Strategic Planning, and Financial Planning. - Translate business requirements into functional and technical solutions, user stories, and development tasks. - Configure and develop workflows, business rules, client scripts, UI policies, UI actions, script includes, notifications, and access controls. - Customize forms, fields, tables, views, and related lists to support SPM processes. - Develop and maintain integrations between ServiceNow and third-party applications using REST, SOAP, and scripted web services. - Support data migration, data validation, and integration-related activities. - Develop reports, dashboards, and performance analytics to support portfolio and project decision-making. - Perform unit testing, system integration testing, UAT support, defect resolution, and deployment activities. - Troubleshoot production issues and provide timely resolution for platform, workflow, integration, and data-related problems. - Support ServiceNow upgrades, enhancements, patches, and ongoing platform maintenance. - Collaborate with project managers, portfolio managers, business analysts, architects, and other stakeholders. - Ensure development follows ServiceNow best practices, security standards, governance requirements, and SDLC processes. - Prepare technical documentation, configuration documents, deployment plans, and support procedures. Requirements : - 5 - 10 years of experience in ServiceNow development, configuration, and implementation. - Strong hands-on experience with ServiceNow Strategic Portfolio Management (SPM). - Good understanding of SPM processes, including demand, project, portfolio, resource, financial, and strategic planning. - Strong knowledge of ServiceNow development, including Business Rules, Script Includes, Client Scripts, UI Policies, UI Actions, Workflows/Flow Designer, Notifications, and ACLs. - Experience with ServiceNow data model, tables, forms, fields, catalog items, reports, and dashboards. - Hands-on experience with REST, SOAP, and scripted web services and third-party integrations. - Good knowledge of JavaScript and ServiceNow scripting. - Experience with data migration, testing, deployment, troubleshooting, and production support. - Understanding of Agile delivery, SDLC processes, change management, and platform governance. - Strong analytical, problem-solving, communication, and stakeholder management skills. - ServiceNow certifications such as CSA, CAD, or CIS-SPM would be an advantage.

Virtusa - ServiceNow SPM Developer 

Job Summary : We are seeking an experienced Oracle R12 Integration Specialist to design, implement, and optimize integrations between Oracle E-Business Suite (R12.1.3) and cloud-based applications. The ideal candidate will have strong technical expertise in Oracle Financials, API development, and integration frameworks, ensuring seamless data flow and business process alignment across hybrid environments. Key Responsibilities : 1. Integration Design & Development : - Develop and implement integrations between Oracle R12 modules (AP, AR, GL, FA, CM, Purchasing) and cloud systems using Rest APIs, web services, and middleware tools. - Configure and maintain Oracle concurrent programs, interfaces, and workflows for integration processes. 2. Cloud Integration Expertise : - Experience working with SaaS platforms integrated with ERP systems. - Hands-on experience with Integration. 3. Performance Optimization : - Fine-tune batch jobs, eFile processes, and integration points for high performance and reliability. - Troubleshoot and resolve integration issues with minimal business impact. 4. Compliance & Standards : - Ensure adherence to Oracle best practices, audit requirements, and data integrity standards. - Document integration processes and maintain technical specifications. Required Skills : - Strong experience with Oracle EBS R12 Financials (AP, AR, GL, FA, CM). - Expertise in PL/SQL, APIs, Web Services (SOAP/REST), Java and Oracle integration tools. - Expertise in 12.1.3 modules. - Hands-on experience with cloud integration platforms and tax compliance systems. - Knowledge of middleware tools (OIC, or similar). - Proven ability in performance tuning, troubleshooting, and automation. - Excellent communication and stakeholder management skills. Preferred Qualifications : - Experience with Oracle Cloud Financials or hybrid Oracle environments. - Familiarity with integrations and financial reporting processes. Education : - Bachelors degree in Engineering, Computer Science, or related field. - MBA or equivalent is a plus. Employment Type : Full-time

First Advantage - Oracle ERP Integration Specialist 

Role Overview : The Senior GCP Cloud Network Engineer (C2) is a specialist Individual Contributor responsible for designing, implementing, operating, and optimizing GCP network infrastructure at scale. This role focuses on deep technical execution, operational excellence, and collaboration, with growing influence on design decisions but without full architectural ownership (C3). The candidate should be ready to provide support in US business hours / Shifts. Key Responsibilities : GCP Network Engineering : - Design, implement, and operate GCP networking solutions - Work extensively with VPCs (custom & auto mode), subnets, routes, firewall rules, Cloud NAT, Cloud Router, and Internal & External Load Balancers - Support Shared VPC implementations across multiple projects - Ensure high availability, performance, and security of network services Hybrid & Connectivity : - Implement and manage hybrid connectivity : NCC, Hub & Spoke, Cloud VPN (HA VPN), and Dedicated / Partner Interconnect - Troubleshoot connectivity issues between On-prem to GCP, GCP to GCP, and GCP to other cloud providers - Work closely with Infra and Network teams to align routing and IP planning Security & Network Controls : - Implement network security best practices - Design and manage firewall rules (hierarchical & project-level), Private Google Access, and service controls related to networking - Support security audits and compliance requirements - Collaborate with Security teams on network hardening Automation & Infrastructure as Code : - Implement GCP networking using Terraform - Contribute to network Terraform modules and CI/CD pipelines for infrastructure deployment - Follow IaC best practices (state management, versioning, reviews) - Participate in code reviews and technical improvements Operations & Troubleshooting : - Troubleshoot complex network issues including latency, packet loss, routing conflicts, and load-balancer behavior - Use Cloud Logging, Monitoring, VPC Flow Logs - Participate in on-call or incident support rotations - Drive root cause analysis (RCA) and remediation Collaboration & Influence : - Work closely with Application, Platform/Cloud, Security & Infra teams - Provide technical guidance to C1 / junior engineers - Contribute to network standards and documentation - Participate in architecture and design discussions Required Skills & Expertise : - Strong hands-on experience with GCP networking - Deep understanding of TCP/IP, DNS, routing, NAT, and Load balancing concepts - Practical experience with VPC, Shared VPC, Cloud VPN & Interconnect, and Internal & External Load Balancers - Terraform experience for network infrastructure - Strong troubleshooting and analytical skills - Experience working in production enterprise environments

Gurgaon/Gurugram

Opstree - Senior GCP Cloud Network Engineer 

Job Summary : We are looking for an experienced Senior Data Scientist Manager to lead data science initiatives, manage a team of data scientists, and drive the development and deployment of advanced analytical and machine learning solutions. The role will work closely with business and technology stakeholders to translate complex business problems into scalable, data-driven solutions. Key Responsibilities : 1. Data Science Strategy & Leadership : - Define and execute the data science roadmap aligned with business objectives. - Lead multiple data science projects from problem definition through deployment and business adoption. - Identify high-impact opportunities where advanced analytics and machine learning can create measurable business value. - Establish best practices for experimentation, modelling, validation, and deployment. - Drive adoption of data-driven decision-making across business functions. 2. Team Management & Capability Building: - Lead, mentor, and develop a team of data scientists and machine learning professionals. - Define technical goals, project priorities, and delivery expectations. - Conduct regular performance reviews and provide technical mentorship. - Build a strong culture of experimentation, innovation, collaboration, and engineering excellence. - Support hiring and development of data science talent. 3. Machine Learning & Advanced Analytics: - Guide teams in developing predictive models, classification models, recommendation systems, forecasting solutions, and other advanced analytical models. - Review model approaches, feature engineering, statistical techniques, and validation methodologies. - Ensure models are robust, scalable, explainable, and aligned with business requirements. - Drive model performance optimization and continuous improvement. - Establish appropriate model monitoring and performance measurement frameworks. 4. Business & Stakeholder Management: - Partner with product, engineering, business, and leadership teams to identify and prioritize data science use cases. - Translate complex analytical findings into actionable business recommendations. - Present insights, model outcomes, and business impact to senior stakeholders. - Manage expectations, timelines, dependencies, and delivery priorities across multiple initiatives. 5. Data Science Engineering & Deployment: - Collaborate with engineering teams to productionize machine learning models and analytical solutions. - Promote scalable ML pipelines, reproducible experimentation, and automated model deployment. - Ensure appropriate monitoring, governance, documentation, and lifecycle management of models. - Drive adoption of MLOps practices across the data science function. Required Skills & Qualifications: - 9 - 15 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields. - Strong experience leading data science teams and large-scale analytical initiatives. - Excellent understanding of statistics, machine learning, predictive modelling, and experimentation. - Strong hands-on experience with Python, SQL, Pandas, NumPy, Scikit-learn and relevant ML frameworks. - Experience with cloud-based data and ML platforms is preferred. - Strong understanding of model deployment, MLOps, and production analytics. - Excellent stakeholder management, communication, and leadership skills.

Happiest Minds Technologies - Senior Data Scientist/Manager - ETL/Python 

Experience: 69 years in production database administration / engineering Level: Senior Individual Contributor (hands-on) Function: Data Platform reliability, performance, and governance across relational and distributed SQL & NoSQL DBs. About the Role: - We are hiring a Senior Database Administrator to own the health, performance, and reliability of the data layer behind a high-scale, multi-tenant platform. Our environment spans several independent PostgreSQL database instances, a cache-first read tier, change-data-capture pipeline, analytics and archival stores. Should be capable of implementing NoSQL stores (Cassandra / ScyllaDB) & MySQL end to end as we scale. - This is a hands-on senior IC role for someone who has run demanding production databases and wants full ownership: partitioning and maintenance, performance tuning, monitoring, uptime, disaster recovery, and the security and data-governance documentation that keeps a regulated, multi-tenant platform audit-ready. You will work closely with, and take direction from, engineering leadership translating priorities into a well-run, well-documented data platform. What You'll Own: PostgreSQL Depth: - Administer multiple production PostgreSQL instances (v16+), including schema/DDL review, migrations, and release coordination. - Design and maintain table partitioning strategies (range/hash/time-based) and automate partition lifecycle creation, retention windows, and safe drops. - Own query and instance performance tuning: EXPLAIN/ANALYZE, indexing strategy, autovacuum/bloat management, connection pooling (e.g. PgBouncer), and parameter-group tuning. - Execute zero-downtime schema changes using expandmigratecontract / blue-green patterns; assess lock impact and avoid long ACCESS EXCLUSIVE locks on hot tables. - Manage replica topology (writer/reader endpoints), replication lag, and read-scaling as load grows. - Partner with app teams on migration tooling (e.g. Flyway) and paired forward/rollback scripts; enforce idempotent, reviewed, tested DDL. NoSQL & Scale: - Data-model, deploy, and operate distributed NoSQL clusters Cassandra and/or ScyllaDB including partition/clustering key design, compaction strategy, repair, and node operations (bootstrap, decommission, scale-out). - Lead the planned migration of high-volume payload tables from partitioned PostgreSQL to Cassandra/ScyllaDB: capacity planning, dual-write/backfill design, cutover, and validation. - Tune distributed-store read/write paths, consistency levels, and cluster sizing for predictable latency at scale. - Support the cache-first architecture (Redis) and change-data-capture / streaming pipelines (e.g. Kafka) that move data to analytics and cold-archival stores. Operations, Reliability & DR: - Own database uptime and SLOs; build and maintain monitoring, alerting, and dashboards for the key signals (latency, replication lag, CPU/IO, connections, vacuum lag, error rates). - Define and regularly test backup and disaster-recovery strategy RPO/RTO targets, point-in-time recovery, restore drills, and cross-AZ / future multi-region readiness. - Drive incident response for database-related issues: triage, mitigation, root-cause analysis, and follow-up actions. - Write and maintain runbooks (partition maintenance, failover, archival, DR, migration procedures) and participate in an on-call rotation for the data layer. - Establish production-change discipline: pre-flight and post-deploy verification, rollback criteria, and backup verification before destructive operations. Security, Governance & Documentation: - Implement and maintain database access control least-privilege roles, schema-scoped permissions, and row-level security (RLS) for multi-tenant isolation. - Own data-governance documentation: PII maps, per-table retention policies, audit-readiness, and the controls behind privacy-regulation compliance (e.g. GDPR / DPDP-style erasure and legal-hold workflows). - Author and maintain architecture decision records (ADRs), schema documentation, and monitoring/runbook docs so the data platform is legible to the wider team. - Uphold encryption-at-rest/in-transit posture and safe handling of sensitive columns; keep the data layer aligned with the platform's compliance requirements. Coding & Automation Bar (Required): - This role is automation-first, not click-ops. The right candidate treats repetitive database work as something to script away and can drop into application code when a problem demands it. - Strong scripting in Python and Bash for automation of maintenance, backups, partition management, backfills, and health checks. - Comfortable with infrastructure-as-code (e.g. Terraform) and configuration management (e.g. Ansible) for reproducible database infrastructure. - Solid SQL and PL/pgSQL; able to read and debug application-layer database code and, worst case, write or patch application code (e.g. Python/Node/Java) to unblock a fix. - Fluent with Git-based workflows, code review, and CI for database migrations and tooling. Required Qualifications: - 69 years operating relational databases in demanding production environments, with deep PostgreSQL expertise (internals, partitioning, replication, performance tuning). - Hands-on experience running at least one distributed NoSQL store in production Cassandra or ScyllaDB strongly preferred (other wide-column/distributed stores considered). - Proven ownership of backup/DR, monitoring, and incident response for production databases. - Strong scripting/automation background (Python, Bash) and experience with IaC. - Experience with managed cloud databases (AWS RDS or equivalent) and understanding of instance/parameter-group tuning, replicas, and failover. - Experience designing for multi-tenancy and data isolation at scale. - Clear written communication able to produce runbooks, ADRs, and governance docs a team can rely on. Nice to Have: - Experience migrating workloads from PostgreSQL to Cassandra/ScyllaDB (or similar relational-to-distributed migrations). - Familiarity with Redis as a cache tier and with CDC / streaming pipelines (e.g. Kafka, Debezium). - Exposure to Flyway (or Liquibase), pgTAP or similar schema testing, and PgBouncer. - Working knowledge of privacy regulations (GDPR, India DPDP) and audit/compliance processes. - Ownership mindset takes a directive and runs it to done, with sound judgment on trade-offs. - Reliability-first and detail-oriented; disciplined about verification, rollback, and documentation. - Collaborative in a high-performing engineering team; communicates clearly with developers and leadership. - Pragmatic and scale-aware designs for where the platform is going, not just where it is.

I2B Technologies - Senior Database Administrator 

About the Role : We are looking for an experienced Java Full Stack Developer with 7+ years of hands-on experience in designing, developing, and maintaining scalable enterprise applications. The ideal candidate should have strong expertise in Java, Spring Boot, Spring Microservices, REST APIs, Angular, TypeScript, Oracle, and Kafka, along with a good understanding of application security and modern development practices. Key Responsibilities : - Design, develop, and maintain scalable full-stack applications using Java, Spring Boot, and Angular. - Develop robust and reusable RESTful APIs and microservices using Spring Boot and Spring Microservices. - Build responsive and user-friendly front-end applications using Angular and TypeScript. - Design and optimize database queries, stored procedures, and data models using Oracle. - Implement asynchronous and event-driven solutions using Apache Kafka. - Design and document APIs using OpenAPI/Swagger standards. - Implement application security using OAuth 2.0, JWT, and other authentication/authorization mechanisms. - Write clean, maintainable, reusable, and well-tested code following industry best practices. - Use Git/GitHub for source-code management, branching, and collaborative development. - Leverage GitHub Copilot and other AI-assisted development tools to improve developer productivity while maintaining code quality and security. - Troubleshoot production issues, perform root-cause analysis, and implement effective fixes. - Participate in code reviews and contribute to technical design and architecture discussions. - Collaborate with product managers, business analysts, QA engineers, DevOps teams, and other stakeholders. - Ensure applications meet performance, scalability, security, and reliability requirements. - Contribute to continuous improvement of development processes, coding standards, and engineering practices. Required Skills & Expertise : - Strong proficiency in Core Java. - Hands-on experience with Spring Boot and Spring Framework. - Strong experience developing REST APIs. - Good understanding of Spring Microservices architecture. - Experience with Apache Kafka and event-driven architecture. - Strong understanding of object-oriented programming, design patterns, and software engineering principles. - Strong hands-on experience with Angular. - Good knowledge of TypeScript, HTML, and CSS. - Experience developing responsive and reusable UI components. - Understanding of frontend-backend integration through REST APIs. - Strong experience with Oracle Database. - Good understanding of SQL, query optimization, database design, and data modelling. - Experience designing and documenting APIs using OpenAPI/Swagger. - Strong understanding of REST API standards, API versioning, error handling, and integration patterns. - Good understanding of application security concepts. - Hands-on experience with OAuth 2.0 and JWT. - Understanding of authentication, authorization, token management, and securing REST APIs. - Experience with Git branching, pull requests, merge strategies, and code reviews. - Exposure to GitHub Copilot or other AI-assisted coding/development tools. - Experience working on large-scale enterprise applications. - Strong understanding of distributed systems and microservices architecture. - Experience with messaging/event-driven architectures. - Exposure to CI/CD and DevOps practices. - Good understanding of application performance optimization and production troubleshooting. - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. - 7+ years of professional software development experience. - Strong backend expertise in Java + Spring Boot + Microservices. - Strong frontend expertise in Angular + TypeScript. - Good experience with Oracle, Kafka, REST APIs, OpenAPI/Swagger, Git, and application security. - Ability to work independently as well as collaboratively in a fast-paced engineering environment. - Strong focus on code quality, scalability, security, and maintainability.

Zensar - Java Full Stack Developer 

About SS&C: SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations rely on SS&C for expertise, scale, and technology. Role Overview: We are looking for an Automation Support Engineer to join our team. You will act as a single point of accountability for assigned automations, investigating incidents and implementing fixes using AI-assisted tools. Key Responsibilities: - Investigate incidents using logs, control room data, and process design artefacts. - Triage issues, distinguishing process defects from infrastructure or data root causes. - Utilize AI coding assistants and LLM APIs to accelerate investigation and maintain automation workflows. - Design and deploy minor changes to existing automations following Blueprism best practices. - Manage incidents through to resolution, maintaining clear communication with stakeholders. - Ensure compliance with security, data privacy, and ethical AI guardrails. Required Skills & Experience: - Production support experience within enterprise environments. - Experience in DevOps, CoE, or Full Stack teams. - Strong understanding of infrastructure concepts (servers, networking, access). - Hands-on experience with AI coding assistants, LLM APIs, or open-source AI frameworks. - Familiarity with Playwright (web) and FlaUI (desktop) frameworks. - Excellent stakeholder communication and incident management skills. Desirable Skills: - Exposure to AI agents and cloud-based AI ecosystems (AWS Bedrock, Azure OpenAI). - Experience with Blue Prism Enterprise (v7.x). - SQL Server support experience. - Financial services or regulated environment experience.

Others

SS&C Technologies - Automation Support Engineer 

About the Role : As a Senior Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and an Architect as demanded by each project to define, design, and deliver actionable insights. Typical Day : - Collaborate with the clients to understand the overall requirements. - Create a robust, extensible architecture to meet the client/business requirements. - Translate the Business requirements into technical artifacts. - Identify the right technology stack and tools that best meet the client's requirements. - Design end-to-end solutions along with data strategy, including standards, principles, data sources, storage, pipelines, data flow, and data security policies. - Collaborate with data engineers, data scientists, and other stakeholders to execute the data strategy. - Perform data analysis to understand the relevant data sets. - Design and create Data Models to cater to all the requirements. - Identify and implement the right orchestration tool. - Define the right security and access policies. - Implement the Snowflake best practices. - Define the right data distribution/consumption pattern for downstream systems and consumers. - Perform the code reviews and ensure quality deliverables. - Work with DevOps team to define and establish CI/CD process. - Own end-to-end delivery of the project. - Work closely with the clients during UAT Testing and ensure all client issues/concerns are addressed. - Proactively identify the performance bottlenecks and propose corrective actions. - Design and Develop reusable frameworks. - Work with the Project Managers to prioritize work for each sprint to meet project milestones and deadlines. - Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc. - Guide/mentor team members, and create the technical artifacts. - Demonstrate thought leadership.

Tiger Analytics - Senior Architect - Snowflake 

Apply to 7 company jobs on Hirist.tech, India's No.1 IT job portal. Explore IT job in company Now! 

Jobs by location

Billennium Jobs

Explore Jobs based in trending companies