Position Overview : The Cloud (GCP) Consultant plays a critical role in leading the design, architecture, and deployment of end-to-end Google Cloud solutions tailored to the complex needs of industrial and government clients. This role goes beyond technical delivery, involving strategic pre-sales engagements, stakeholder education, and thought leadership in cloud adoption. You will drive initiatives focused on data lake and analytics modernization, deliver high-performance data pipelines, and influence the digital maturity journeys of India's most impactful sectors. The ideal candidate brings a rare combination of deep technical expertise, business acumen, and a consultative approach to engage stakeholders from the data center to the boardroom. Key Responsibilities : - Architect scalable, secure, and cost-efficient data platforms on GCP tailored to industrial and government sector use cases. - Design data lake and data warehouse architectures using GCP-native tools like BigQuery, Cloud Storage, Pub/Sub, Dataproc, and Dataflow. - Develop robust data ingestion, transformation, and processing pipelines using Apache Beam, Spark, and GCP-native services. - Lead GCP implementation across compute, storage, analytics, and security services; ensure alignment with best practices and client objectives. - Own the technical solutioning for RFPs/RFQs, including architecture design, sizing, and proposal creation. - Engage in technical pre-sales activities, client demos, and solution workshops to drive cloud adoption. - Guide and mentor internal/external stakeholders on GCP usage, architectural standards, and cloud-native best practices. - Ensure data security and compliance using IAM, VPC Service Controls, and GCP-native governance tools. - Interface with product managers, solution architects, and delivery teams to ensure high-quality solution deployment. Critical Success Factors : - Successful delivery of 2+ end-to-end GCP cloud transformation projects across government and industrial sectors. - Consistent track record of influencing cloud adoption via technical pre-sales for at least 2 major bids (RFPs/RFQs). - Design and deployment of a secure, high-throughput data lake architecture with measurable impact on client KPIs. - Recognition by client stakeholders for driving efficiency and data visibility through tailored cloud analytics solutions. Education and Experience : - Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related discipline. - 8+ years of overall experience in the technology industry. - 8+ years of deep hands-on experience with cloud platforms, specifically GCP. - 2+ full lifecycle GCP implementations involving data migration, cloud-native infrastructure, and analytics pipelines. - Prior experience delivering at least one digital transformation project in each of the following: industrial and government sectors. - Google Cloud Professional Certification (e.g., Cloud Architect, Data Engineer) strongly preferred. Essential Skills and Competencies : Technical Skills : Expertise in GCP services : - BigQuery, Dataflow, Cloud Storage, Pub/Sub, Dataproc, Vertex AI, Kubernetes, IAM, Cloud DLP, and Looker. - Strong understanding of data engineering tools and concepts: ETL/ELT, SQL, Python, Apache Beam, Spark, Airflow. - Experience in sizing, provisioning, security, and compliance for large-scale cloud deployments. - Cloud-native DevOps and CI/CD familiarity is a plus. Soft Skills : - Strong communication and storytelling abilities to bridge technical and business audiences. - High learning agility and ability to simplify complex concepts for clients and peers. - Stakeholder management skills across senior and technical roles. Behavioural Strengths : - Resilience and adaptability in fast-paced environments. - Collaborative mindset with a proactive problem-solving orientation. - Integrity and accountability in both pre-sales and delivery engagements. Leadership Skills : - Ability to drive strategic conversations around cloud transformation and influence client buy-in. - Proficiency in mentoring and uplifting internal talent pools. - Comfort with ambiguity and agility to navigate diverse client environments.

Bangalore

Google Cloud Platform Consultant - CI/CD Pipeline (7-12 yrs)

Job Purpose : The SAP FS-CD Functional Consultant is responsible for interacting with business users to gather and analyse requirements, translating these into effective technical solutions, and implementing new functionalities while improving existing functionalities in the SAP Financial Services - Collections and Disbursements (FS-CD) module. The role involves collaborating with multiple teams, including experts from other SAP modules, to define requirements and develop system solutions. The consultant will support mission-critical SAP financial applications, focusing on enterprise payments and billing, while continuously learning and growing skills within the FS-CD Insurance module. Key Responsibilities : - Interacting with the Business Users to gather and understand the requirements. - Analysing and articulating business requirements from a functional standpoint. - Translating requirements into effective technical solutions. - Implementing new functionalities and improving existing functionalities in FS-CD. - Collaborate with multiple teams including other SAP modules (FI/GL, FS-PQM, FS-PM, FS-CM, FS-ICM, and FS-RI) experts to define and understand the requirements and then explain the system solution. - Work with multi-functional/technical teams to prioritise the work, get dependencies resolved and undertake system development. - Undertake responsibility for the day-to-day care and support of mission critical SAP financial applications with an emphasis on enterprise payments. The position requires a strong well-rounded IT technician quick to pick up on the overall business and technology processes supported by the team while also eager to learn and grow skills in the FS-CD Insurance module used for enterprise-wide Payments and Billing. Skills Required : - Strong knowledge and experience in SAP FS-CD process and customization. - Excellent industry and business process know-how in the Finance, Insurance industry - Hands on experience insurance domain and specifically in SAP Collections and Disbursements (FS-CD) Performed Requirement gathering, Requirement analysis and Documentation, and Requirements Implementation during implementation process. - 4 years or more experience in SAP Collection and Disbursement (FS-CD) and worked on implementation and support projects. Must have at least 2 end-to-end implementation experiences in FS-CD. - Experience in developing Reports, Interfaces, Extension (RICEFW) objects related to process areas in FS-CD like Dunning, Invoicing/Correspondence, Payments, Returns and Clearing. - Experience in SAP FS-CD Master Data and Receivables data creation and maintenance using SAP standard tools like KCLJ. - Strong Knowledge of SAP FS-CD /FI-GL Integration, Account determination concepts. - Working knowledge on BDT, BRF+, ABAP Proxies, Complex Reports, file interfaces, direct input data transfer, workflow. - Good Programming Skills in ABAP, ABAP on HANA, ABAP Object Oriented Programming. - Strong understanding of Agile processes (SCRUM, KANBAN) and best practices - Problem solving and quick learner. - Dedicated, self-directed, motivated, proactive, and inquisitive.

Remote

SAP Consultant - FS/CD Modules (4-9 yrs)

Job Purpose : We are seeking a Tech Lead to join their Agile Development team. The ideal candidate will be a self-driven innovator who thrives on pushing boundaries to create industry-leading products. Key Responsibilities : - Hire and mentor a team of high-calibre front-end and back-end engineers. - Design and develop new user-facing full-stack applications. - Build reusable components and front-end, and backend libraries for future use - Optimize pages for maximum performance across a variety of devices and browsers. - Optimize the backend for high scale. - Contribute to architecture, database design and data modelling. - Implement APIs and ensure security, scalability, and performance. - Practical experience in real-time implementation (rather than just theory) Skills Required : - BE / B Tech with 5 - 9 years of experience in software development with a minimum of 1 year as a Tech Lead. - Proficiency in NodeJS, ReactJS, PostgreSQL, Redis, AWS, Python, and Microservices. - Deep understanding of at least one of React JS / Vue JS and its core principles - Deep understanding of NodeJS. - Experience with common front-end development tools such as Babel, webpack, and npm. - Familiarity with at least one code versioning tool such as Git, SVN etc. - Good understanding of quality JavaScript code (Object-oriented and commonly used design patterns) - Capable of debugging complex issues in JavaScript - Experience in building complex single-page applications with front end and back end. - Experience with production full stack environment debugging and DevOps experience. - Familiarity with RESTful APIs - Hands-on coding experience. - Strong experience in the areas of API implementation considering security, scalability and performance is needed. - Strong experience in database design, and data modeling for both RDBMS and NoSQL-based databases. - String experience/knowledge in Architecture & Design, NFRs and the ability to derive technical solutions based on functional requirements is mandatory. - Exposure to enterprise quality solution creation from scratch considering technology fitment to the problem. - Strong practical hands-on experience is needed rather than theory. Good to Have : - Advanced knowledge of HTML5, CSS3 and responsive web development. - Experience with writing unit test cases with JS frameworks. - Experience with highly scalable applications. - AWS experience.

Technical Lead - Node.js/React.js (5-8 yrs)

As a Backend Developer, your primary purpose is to contribute to the development and maintenance of robust and scalable web applications. Additionally, your role involves problem-solving, technical design proposal, and troubleshooting to address business requirements effectively. Key Responsibilities : - Strong problem-solving aptitude with the ability to understand business requirements and propose feasible technical designs. - Excellent understanding of web application development frameworks and server-side considerations to deliver performance at a scale. - Minimum 2-5 years of experience developing secure and scalable REST APIs using node.js/express and related frameworks. - Expert understanding of HTTP Protocol, REST APIs design, and related best practices. - Ability to deep dive into relational and No-SQL databases including caching options, with the ability to troubleshoot and fix performance issues. Skills Required : - Ability to write cron jobs and ensure reliable execution. - Sound understanding of asynchronous operations, callbacks, server-to-server communication. - Knowledge of handling authentication and authorization, caching, and distributed operations. Good to Have : - Experience developing automated testing of all server-side components/APIs. - Experience with using AWS services such as EC2, Lambda, API gateway, SQL, Cloudfront, etc.

Backend Developer - Node.js/Express.js (2-5 yrs)

Position Title : Layout Designer Engineer Location : Hyderabad Reporting to : BU Head Nature of Work : Regular Work-from-Office, Monday to Friday Technical requirements for the role : - Expertise in Cadence VLE/VXL and Mentor Graphic Calibre DRC/LVS is a must. - Perform layout verification like LVS/DRC/Antenna, quality check and support documentation. - Responsible for on-time delivery of block-level layouts with acceptable quality. - Excellent problem-solving skills in physical verification of custom layout. - Demonstrate high quality and accurate execution to meet project schedule/milestones in multiple project environment. - Ability to guide junior team-members in their execution of Sub block-level layouts & review critical items. - Contribute to effective project-management. - Effectively communicating with Local engineering teams to assure the success of layout Project. Educational Background : 5 + year experience in analog/custom layout design in advanced CMOS processes. NOTE : custom layout or analog layout with TSMC 3nm/5nm 7nm/16nm Finfet & 3nm Exp - MANDATORY. Expectations from the Role : - Responsible for Design and development of critical analog, mixed-signal, custom digital block, and full chip level integration support. - Excellent debugging and problem-solving skills - Effective communication skills to interact with all stakeholders - Must be highly focused and remain committed to obtaining closure on project goals. - Ability to work independently and complete work assigned - Should possess good Leadership Skills - Should have a Go-getter attitude Education and Experience Requirements : - BS or MS in Electrical/Computer Engineering - 5 - 8 years of specialised verification engineering experience - Expertise in semiconductor Physical verification domains Essential Skills and Competencies : Behavioural Competencies : - Analytical problem-solving capabilities - Exceptional communication across technical teams - Meticulous attention to detail - Adaptability in fast-evolving technological landscapes

Hyderabad

Layout Design Engineer - Calibre DRC (4-14 yrs)

Position Title : Design Verification Engineer (PCIe) Location : Bangalore Reporting to : BU Head Nature of Work : Regular Work-from-Office, Monday to Friday Position Overview : The Verification Engineer plays a critical role in ensuring the reliability, functionality, and performance of complex semiconductor designs. You will be instrumental in developing and executing comprehensive verification strategies for mixed-signal IP, driving technological excellence through meticulous testing and validation processes. This role is pivotal in maintaining Lead SoC's reputation for delivering high-quality, sophisticated engineering solutions. The ideal candidate will bridge design and validation, transforming conceptual architectures into robust, market-ready technological platforms.Key Responsibilities - Coding hands on SV/UVM - Can work independently on tasks such code UVM/SV based components/relevant logic, testcase development - Can debug test failures and root cause issues independently in complex design. - Have exposure to PCIe and AXI - Good reasoning and communication skills - Must have strong knowledge in PCIe Gen1/3/4/5 (Logical PHY, LTSSM, DLL & TL) - Must have hands-on debugging skills with both log files and waveform. Prior experience on 3rd party test suites is an added advantage. - Must have SV knowledge like writing Constraints, Assertions, Functional coverage etc. - Capable of understanding complex Test benches in a given time. - Good to have RAL understanding Critical Success Factors : - 95%+ functional coverage across verification test suites - Zero critical design defects post-verification - Reduction in verification cycle time through efficient test strategy - Successful verification of complex mixed-signal IP platformsEducation and Experience Requirements - BS or MS in Electrical/Computer Engineering - 5 - 10 years of specialised verification engineering experience - Expertise in semiconductor design verification domains - Experience in PCIe Essential Skills and Competencies : Technical Expertise : - Advanced proficiency in SystemVerilog and UVM - Comprehensive knowledge of mixed-signal IP verification - Experienced with Linux environments and verification tools - Strong debugging skills for RTL and firmware code Behavioural Competencies : - Analytical problem-solving capabilities - Exceptional communication across technical teams - Meticulous attention to detail - Adaptability in fast-evolving technological landscapes

Design Verification Engineer - PCI-e (5-15 yrs)

Position Title : STA (Static Timing Analysis) Location : Bangalore Reporting to : BU Head Nature of Work : Regular Work-from-Office, Monday to Friday Technical requirements for the role : - Very good understanding of timing concepts - Should have a good understanding of SDC and constraints syntax - Work with the design and implementation teams to develop and qualify timing constraints - Experience in Timing Analysis both at block level and SoC level - Experience with Industry Timing signoff tools like Primetime / Tempus is a must - Experience in DMSA or Tweaker - Should have a good understanding of different Timing modes and Corners - Experience in MMMC - Work closely with the physical design engineers to resolve implementation related timing issues - Should be able to plan and track self-execution and report result on regular basis systematically - Should be able to solve timing challenges in Block/SOC by manually closing difficult paths - Should have a clear understanding of Crosstalk delay/noise, Timing derates, AOCV/POCV concepts and its impact of design closure - Should have worked on Timing ECO generation in multi-voltage designs Experience Timing - Experience Timing & Noise Signoff Closure at block level or Full chip-level on advanced process nodes - Hands on scripting skills on TCL / Perl Expectations from the Role : - Excellent debugging and problem-solving skills - Effective communication skills to interact with all stakeholders - Must be highly focused and remain committed to obtaining closure on project goals. - Ability to work independently and complete work assigned - Should possess good Leadership Skills - Should have a Go-getter attitude Education and Experience Requirements : - BS or MS in Electrical/Computer Engineering - 6 - 11 years of specialized verification engineering experience - Expertise in semiconductor Physical verification domains Essential Skills and Competencies : Behavioral Competencies : - Analytical problem-solving capabilities - Exceptional communication across technical teams - Meticulous attention to detail - Adaptability in fast-evolving technological landscapes

Static Timing Analyst - Primetime (5-15 yrs)

Position Overview : As a Reliability Engineer Specialist, you will play a pivotal role in enhancing the reliability, availability, and maintainability (RAM) of critical assets for industrial clients. You will be responsible for assessing asset performance, implementing predictive maintenance (PdM) strategies, and developing robust reliability engineering solutions that optimize operations and minimize downtime. Your expertise in data analytics, asset management, and risk assessment will directly contribute to achieving outcome-based performance measures in line with JLL's Reliability & Asset Management Program. Working in collaboration with cross-functional teams, you will validate and analyze asset data to drive continuous improvement in maintenance programs, ensuring long-term asset sustainability and operational excellence. Key Roles & Responsibilities : Asset Reliability & Maintenance Strategy Development : - Ensure reliability and maintainability of new and existing assets by implementing Life Cycle Asset Management (LCAM) best practices. - Develop and refine predictive maintenance (PdM) programs that incorporate advanced diagnostic techniques such as vibration analysis, thermal imaging, ultrasonic testing, and statistical modeling. - Lead Reliability, Availability, and Maintainability (RAM) modeling and simulation efforts to enhance system performance. - Conduct failure mode analysis (FMEA, RCA, RCFA) to diagnose asset reliability issues and develop preventive solutions. - Optimize maintenance strategies by leveraging historical data, real-time asset monitoring, and predictive analytics. Asset Data Analysis & Continuous Improvement : - Validate asset data through physical inspections or critical reviews of supplied asset lists. - Utilize data analysis techniques such as statistical process control, Weibull analysis, and Six Sigma methodologies to identify trends and potential failures. - Perform assessments on asset utilization, overall equipment effectiveness (OEE), and remaining useful life (RUL) to support data-driven decision-making. - Apply Failure Reporting, Analysis, and Corrective Action Systems (FRACAS) to track, analyze, and mitigate recurring equipment failures. - Support the integration of predictive maintenance software with Enterprise Resource Planning (ERP) and Asset Management Systems (AMS). Technical & Cross-Functional Collaboration : - Collaborate with design, installation, and commissioning teams to develop technical specifications and ensure asset reliability at all stages of the lifecycle. - Participate in factory and site acceptance testing (FAT/SAT) to verify compliance with functional specifications. - Work closely with production, maintenance management, and engineering teams to implement reliability improvements. - Assist in the evaluation and selection of equipment vendors, MRO suppliers, and technical service providers. Risk Management & Compliance : - Develop risk mitigation plans to address reliability-related and non-reliability-related risks impacting plant operations. - Ensure maintenance strategies align with industry standards and regulatory requirements. - Support business units in achieving compliance with safety, security, and environmental regulations. - Provide input on repair/replace, redesign, and make/buy decisions based on comprehensive cost-benefit analyses.

Anywhere in India/Multiple Locations

Reliability Engineer (4-8 yrs)

Position Overview : We are seeking seasoned Senior Software Engineers to lead the design and implementation of robust, scalable digital solutions. This role is pivotal in building the technological backbone of an innovative platform that redefines fashion retail. Your contributions will drive business outcomes by ensuring our applications are fast, reliable, and secure. You will navigate technical challenges while collaborating closely with product, design, and operations teams. This position offers significant opportunities to influence strategy and execution in a rapidly evolving industry. Key Responsibilities : Application Development : - Develop and maintain high-performance web applications using Node.js, Express.js, and related frameworks. - Write clean, maintainable, and efficient code while following best practices. Database Management : - Design, implement, and optimise SQL database solutions to support dynamic business requirements. Cross-Functional Collaboration : - Partner with product, design, and operations teams to define, design, and ship new features. - Ensure seamless integration of front-end and back-end components. Quality Assurance : - Conduct rigorous code reviews and testing to ensure the highest quality of software deliverables. - Troubleshoot and resolve production issues promptly. API and Integration : - Design and implement RESTful APIs and integrate third-party services to enhance functionality. Performance Optimization : - Monitor, analyse, and optimise application performance, ensuring scalability and reliability. Technical Leadership : - Mentor junior developers and lead by influence, fostering a culture of innovation and continuous improvement. - Stay abreast of emerging technologies and industry trends to drive innovation within the team. Critical Success Factors : Timely Delivery : - Consistently deliver high-quality features that meet project milestones and business objectives. Quality Assurance : - Maintain low defect rates through robust testing and adherence to coding standards. Team Mentorship : - Successfully mentor team members, contributing to a culture of knowledge-sharing and technical excellence. Innovation : - Demonstrate the ability to integrate new technologies and solutions that drive business impact. Collaboration : - Garner positive feedback from cross-functional teams for effective collaboration and communication. Education and Experience : - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Minimum 5+ years of software development experience, with focus on backend systems. - Proven expertise in Node.js, Express.js, and SQL database management. - Experience in the e-commerce or retail technology sector is advantageous. - Familiarity with agile development methodologies and scalable system design. - Demonstrated ability to work on large-scale, high-performance applications in fast-paced environments. Essential Skills and Competencies : - Expertise in Node.js, Express.js, and SQL. - Strong understanding of RESTful API development and microservices architecture. - Excellent problem-solving abilities and a keen attention to detail. - Effective written and verbal communication skills to articulate complex technical concepts. - Ability to work seamlessly with cross-functional teams and foster a collaborative environment. - Demonstrated leadership qualities, including mentorship and the ability to drive technical initiatives. - Flexibility to adapt to evolving technologies and changing business needs.

Mumbai

Senior Software Engineer - Node.js/Express.js (5-10 yrs)

Job Purpose : We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team. This role will be instrumental in designing, developing, and optimizing scalable data pipelines and warehousing solutions that support business intelligence, analytics, and machine learning initiatives. The ideal candidate will have a deep understanding of data engineering principles, cloud platforms, and hands-on experience in real-time data streaming, data integration, and performance optimization. This position requires close collaboration with data scientists, analysts, and business stakeholders to deliver high-quality data solutions that drive strategic decision-making. Roles and Responsibilities : Data Pipeline Development : - Design, develop, and maintain scalable and efficient data pipelines using ETL/ELT tools. - Implement and optimize real-time data streaming solutions using Kafka, Kinesis, or similar technologies. Data Warehousing & Infrastructure : - Architect, implement, and optimize data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). - Design and implement dimensional modeling and data schema best practices. - Leverage cloud platforms (AWS, Azure, GCP) to build and manage scalable, cost-efficient data infrastructure. Data Integration & Processing : - Integrate data from multiple sources, including relational databases, NoSQL databases, APIs, and streaming platforms. - Develop and maintain logical and physical data models that meet business requirements. - Ensure data governance, security, and compliance with industry regulations (e.g., GDPR, HIPAA). Performance Optimization & Quality Assurance : - Analyze and optimize query performance for large-scale datasets. - Implement data validation checks and automated monitoring for data quality and consistency. - Troubleshoot and resolve performance bottlenecks in data workflows. Collaboration & Mentorship : - Work closely with data scientists, analysts, and business leaders to translate data needs into actionable solutions. - Provide technical mentorship to junior data engineers, promoting best practices and continuous learning. - Maintain comprehensive technical documentation for data pipelines, infrastructure, and processes. Required Skills : - Cloud Platforms : Strong expertise in at least one major cloud provider (AWS, Azure, or GCP) and its data engineering services (S3, Redshift, Glue, Azure Data Lake, Azure Synapse, BigQuery, Dataflow). - Data Warehousing : Expertise in dimensional modeling, star schema, and snowflake schema. - ETL/ELT : Proficiency in tools such as Apache Spark, Apache Airflow, Informatica PowerCenter, Matillion. - Programming & Scripting : Strong skills in Python, Java, or Scala for data processing. - Databases : Hands-on experience with relational (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra). - Big Data Technologies : Experience with Hadoop, Spark for large-scale data processing. - SQL & Query Optimization : Ability to write and optimize complex SQL queries and stored procedures. - Version Control : Proficiency with Git and CI/CD workflows. - Operating Systems : Strong understanding of Linux environments. Preferred Skills : - Knowledge of data governance and data quality frameworks. - Experience with machine learning and data science concepts. - Familiarity with containerization and orchestration (Docker, Kubernetes). - Understanding of DevOps practices and infrastructure as code. - Hands-on experience with data visualization tools (Tableau, Power BI). Required Competencies : - Analytical Thinking : Ability to analyze complex datasets and optimize workflows. - Problem-Solving : Strong troubleshooting skills for data-related challenges. - Communication & Collaboration : Ability to convey technical concepts to non-technical stakeholders. - Adaptability : Willingness to learn and implement new technologies in a rapidly evolving data landscape. - Attention to Detail : Commitment to ensuring data accuracy, security, and compliance. Required Qualifications : - Bachelor's degree in Computer Science, Information Technology, or a related field. - 8+ years of experience in IT, with significant focus on data engineering.

Senior Data Engineer - ETL/Data Pipeline (8-10 yrs)

Job Purpose : We are seeking a highly skilled and experienced DevOps/MLOps Engineer to join our dynamic team. The ideal candidate will have 8+ years of IT experience with a strong focus on DevOps and MLOps. You will be responsible for building, automating, and maintaining robust, scalable, and secure infrastructure to support both software development and machine learning workflows. Collaborating closely with development, data science, and operations teams, you will ensure the seamless integration, deployment, and monitoring of software and ML models in production environments. Roles and Responsibilities : Infrastructure Management : - Oversee the end-to-end deployment pipeline, from server provisioning to database and networking management. - Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Terraform, Ansible, or scripting. - Implement system monitoring, log management, and troubleshooting processes to ensure optimal performance and stability. - Enforce security best practices, including secure coding, encryption, and vulnerability scanning. DevOps Engineering : - Design, implement, and manage CI/CD pipelines to streamline software releases with automated testing and deployment. - Manage and maintain cloud infrastructure (AWS, Azure, or GCP) focusing on cost optimization, security, and high availability. - Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. - Automate infrastructure provisioning, configuration management, and application deployments. - Implement and maintain monitoring and logging systems (e.g., Prometheus, Grafana, ELK stack). - Collaborate with development teams to enhance software development and release processes. - Promote DevOps best practices and foster a culture of automation and continuous improvement. MLOps Engineering : - Design and implement MLOps pipelines for model training, deployment, and monitoring. - Automate model training and hyperparameter tuning processes. - Deploy and manage machine learning models in production environments. - Monitor model performance and data drift, implementing retraining pipelines as needed. - Build and maintain scalable and reliable ML model serving infrastructure. - Integrate ML models into existing applications and workflows. - Collaborate with data scientists to translate their requirements into efficient and scalable infrastructure. - Implement model versioning, experiment tracking, and data security throughout the ML lifecycle. General Responsibilities : - Participate in on-call rotations to provide system support. - Contribute to technical documentation and knowledge-sharing initiatives. - Stay up to date with the latest DevOps and MLOps trends and technologies. - Mentor junior engineers and foster a culture of learning and improvement. Required Skills : Cloud Platforms : Expertise in at least one major cloud provider (AWS, Azure, or GCP); multi-cloud experience is a plus. Containerization & Orchestration : Proficiency with Docker and Kubernetes. Infrastructure as Code (IaC) : Experience with Terraform or CloudFormation. CI/CD : Expertise in Jenkins, GitLab CI, CircleCI, or GitHub Actions. Configuration Management : Experience with Ansible, Chef, or Puppet. Monitoring & Logging : Familiarity with Prometheus, Grafana, CloudWatch, Azure Monitor, ELK stack, or Splunk. Scripting : Strong proficiency in Python, Bash, or other scripting languages. Operating Systems : Deep understanding of Linux-based systems. MLOps Tools : Experience with MLflow, Kubeflow, SageMaker, or Azure ML. Machine Learning : Basic understanding of ML concepts and algorithms. Version Control : Proficiency in Git. Communication & Collaboration : Excellent communication skills with a focus on cross-functional teamwork. Preferred Skills : - Experience with serverless technologies (AWS Lambda, Azure Functions). - Knowledge of data engineering tools (Spark, Hadoop, Kafka, etc.). - Experience working with SQL and NoSQL databases. - Expertise in security best practices and implementations. - Experience in an Agile development environment. Required Qualifications : - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - 8+ years of IT experience, with a strong focus on DevOps and MLOps.

DevOps/MLOps Engineer - Hadoop/Spark (8-10 yrs)

Job Purpose : The primary purpose of this role is to implement, customize, and optimize SAP FS-RI (Financial Services - Reinsurance) solutions to support business processes related to reinsurance calculations, premium estimations, and financial postings. The position involves collaborating with business users to gather and translate requirements into effective technical solutions, ensuring seamless integration with other SAP modules. Additionally, the role requires providing production support, managing periodic configuration changes, and enhancing system functionalities to improve operational efficiency. This role is crucial in enabling the organization to maintain accurate and efficient reinsurance accounting and financial reporting while leveraging SAP FS-RI's capabilities for forecasting, estimation, and automated calculations. Job Description : - Interacting with the Business Users to gather and understand the requirements. - Analysing and articulating business requirements from a functional standpoint. - Translating requirements into effective technical solutions. - Implementing new functionalities and improving existing functionalities in FS-RI. - Collaborate with multiple teams including other SAP modules (FI/GL, FS-PQM, FS-CM, FS-CD, FS-ICM, and FS-PM) experts to define and understand the requirements and then explain the system solution. - Work with multi-functional/technical teams to prioritize the work, get dependencies resolved and undertake system development. - Learn and gain expertise in other SAP modules Your key responsibilities : - Strong knowledge and experience in SAP FS-RI process and customization. - Master in core FS-RI functionalities configuration and validation such as Set up F&E (Forecast/Prognosis and Estimation) templates and Development Patterns. - Create TCR (Treaty Calculation Rules) templates for NP treaty Assumed to Ceded transfers. - EPI (Estimated Premium Income) and Estimations Forecasting and Actual posting for premiums. - UPR (Un-Earned Premium) calculation using F&E or Global Conditions. - Reinstatement Premium calculation Signed line adjustments LUD limits adjustments NP Premium adjustments and Retro adjustments. - Periodic configuration changes handling for Entry Codes LOB and COB. - Good Programming skills in ABAP, ABAP on HANA ABAP object oriented programming

SAP FS-RI Consultant (4-8 yrs)

Apply to 12 company jobs on Hirist.tech, India's No.1 IT job portal. Explore IT job in company Now! 

Jobs by location

Armour-corporate-services Jobs

Explore Jobs based in trending companies