🚀 We’re Hiring: AWS DevOps Engineer We’re looking for an AWS DevOps Engineer to design, automate, and optimize cloud-native solutions and bring fresh ideas to a collaborative, high-performance team. ⚠️ This position is only open to candidates residing in Kolkata, Pune, or Mumbai. 📌 What You’ll Do Build and maintain secure, scalable CI/CD pipelines with Jenkins & GitLab Manage Kubernetes (EKS) deployments, Helm charts, and containerized apps (Docker) Implement Infrastructure-as-Code with Terraform & Ansible Deploy and manage AWS services (EC2, S3, RDS, VPC, Lambda, CloudFront, ECS) Apply security best practices and leverage tools like ELK / Splunk for monitoring Automate and optimize using Python, Bash, JavaScript, or TypeScript Collaborate across teams to architect resilient, cloud-based solutions Identify, evaluate, and proof-of-concept (POC) new technologies for implementation Administer and optimize Linux systems; apply core networking and security concepts to production environments 📌 What We’re Looking For Strong AWS cloud expertise (EKS, ECS, Lambda, etc.) 5–7+ years in DevOps roles, with hands-on experience in Kubernetes orchestration Advanced Terraform, Docker, Ansible, and automation skills Linux administration, networking fundamentals, and security know-how Exceptional communication, teamwork, and problem-solving skills Preferred: Certified Kubernetes Administrator (CKA) or equivalent 🌟 Why Join Us? You’ll work alongside talented engineers, designers, and innovators from diverse backgrounds—in a culture that celebrates curiosity, collaboration, and excellence.
Excited to stay in the IT software product space and working with a team, building cutting-edge products at the intersection of GenAI and data transformation? Our client is seeking a Data Management Lead to join their R&D team in Kolkata. The ideal candidate will have 10-15 years of experience in data management and will lead their efforts in developing and maintaining their data management related modules. Key Responsibilities: Drive and deliver the design, development, and deployment of our data management and storage related modules in their product Oversee data architecture and data integration processes across modules. Enablement of real-time and batch ETL and ELT processes, ensuring data quality, performance and optimal usage of appropriate storage technologies. Ensure the platform’ data management and storage modules enable our customers to follow their data governance principles and best practices, including authorization, logging and data security. Ensure the platform has consistent and secure data access controls, data masking, and encryption processes. Establish and develop/integrate a central technical and business meta data layer leveraging modern, knowledge graph and AI based technologies Lead a team of developers to deliver above capabilities and features in a matrix environment Partner with product management to ensure alignment with market and customer trends. Partner with QA to deliver industry standard software quality Qualifications: Bachelor’s or master’s degree in computer science or a related field (BTech preferred). 10-15 years of experience in data management, with at least 10 years in a similar role. Proven experience leading teams and projects in data management. Strong proficiency in big data technologies (e.g., Spark, Kafka), SQL, and data warehousing solutions. Experience with ETL and ELT tools and processes. Proficiency in data modelling and data warehouse / data lake / data Lakehouse concepts. Knowledge and experience of data quality concepts and metadata management. Understanding of data governance principles and best practices, like GDPR and HIPAA. Good understanding of product lifecycle and roadmap planning Experience with large product or services companies is preferred.
Excited to stay in the IT software product space and working with a team, building cutting-edge products at the intersection of GenAI and data transformation? Our client is seeking a Data Management Lead to join their R&D team in Kolkata. The ideal candidate will have 10-15 years of experience in data management and will lead their efforts in developing and maintaining their data management related modules. Key Responsibilities: Drive and deliver the design, development, and deployment of our data management and storage related modules in their product Oversee data architecture and data integration processes across modules. Enablement of real-time and batch ETL and ELT processes, ensuring data quality, performance and optimal usage of appropriate storage technologies. Ensure the platform’ data management and storage modules enable our customers to follow their data governance principles and best practices, including authorization, logging and data security. Ensure the platform has consistent and secure data access controls, data masking, and encryption processes. Establish and develop/integrate a central technical and business meta data layer leveraging modern, knowledge graph and AI based technologies Lead a team of developers to deliver above capabilities and features in a matrix environment Partner with product management to ensure alignment with market and customer trends. Partner with QA to deliver industry standard software quality Qualifications: Bachelor’s or master’s degree in computer science or a related field (BTech preferred). 10-15 years of experience in data management, with at least 10 years in a similar role. Proven experience leading teams and projects in data management. Strong proficiency in big data technologies (e.g., Spark, Kafka), SQL, and data warehousing solutions. Experience with ETL and ELT tools and processes. Proficiency in data modelling and data warehouse / data lake / data Lakehouse concepts. Knowledge and experience of data quality concepts and metadata management. Understanding of data governance principles and best practices, like GDPR and HIPAA. Good understanding of product lifecycle and roadmap planning Experience with large product or services companies is preferred.
We’re Hiring – Data Science Offshore Leads (Life Sciences | PI – Oil & Energy) Elevarae is hiring two experienced Data Science Offshore Leads for our client, a global technology leader driving innovation across industries. These are immediate requirements for hybrid roles based in Pune — ideal for professionals ready to join immediately or within a short notice period. Location: Pune (Hybrid) Experience: 8–12 years Education: Bachelor’s and Master’s in Engineering/Technology Join: Immediate to Early Joiners Open Positions: 1️⃣ Data Science Offshore Lead – Life Sciences Domain 2️⃣ Data Science Offshore Lead – PI, Oil & Energy Domain Key Responsibilities Lead and execute multiple Tier-1 client projects involving advanced Data Science techniques (AI, ML, GenAI). Manage the complete Data Science lifecycle — from problem comprehension and analytical solution development to deployment and post-delivery support. Act as the primary client contact for discussions, presentations, and requirement gathering. Guide cross-functional teams and ensure technical excellence and business alignment. Collaborate with domain experts, business stakeholders, and engineering teams to deliver high-impact analytical solutions. Essential Skills (Must Have) Deep expertise in AI/ML/GenAI algorithms , methodologies, and end-to-end lifecycle including MLOps and post-deployment model support. Strong comprehension of complex business problems in Life Sciences or Oil & Energy domains. Exceptional articulation and communication skills to bridge technical and business perspectives. Advanced analytical and problem-solving ability for actionable insights and strategic outcomes. Additional Skills (Good to Have) Exposure to cloud platforms (AWS / Azure / GCP), DevOps , and deployment frameworks. Experience leading agile teams and using agile methodology. Familiarity with data visualization tools (Tableau, Power BI). Understanding of data engineering principles and big data ecosystems . If you’re an experienced Data Science professional looking to make an impact in complex, high-visibility projects — we’d love to hear from you. #Hiring #DataScience #AI #ML #GenAI #LifeSciences #OilAndEnergy #Elevarae #DataScienceJobs #HybridWork #ImmediateJoiners #PuneJobs
We're Hiring Data Science Offshore Leads (Life Sciences | PI Oil & Energy) Elevarae is hiring two experienced Data Science Offshore Leads for our client, a global technology leader driving innovation across industries. These are immediate requirements for hybrid roles based in Pune ideal for professionals ready to join immediately or within a short notice period. Location: Pune (Hybrid) Experience: 812 years Education: Bachelor's and Master's in Engineering/Technology Join: Immediate to Early Joiners Open Positions: 1?? Data Science Offshore Lead Life Sciences Domain 2?? Data Science Offshore Lead PI, Oil & Energy Domain Key Responsibilities Lead and execute multiple Tier-1 client projects involving advanced Data Science techniques (AI, ML, GenAI). Manage the complete Data Science lifecycle from problem comprehension and analytical solution development to deployment and post-delivery support. Act as the primary client contact for discussions, presentations, and requirement gathering. Guide cross-functional teams and ensure technical excellence and business alignment. Collaborate with domain experts, business stakeholders, and engineering teams to deliver high-impact analytical solutions. Essential Skills (Must Have) Deep expertise in AI/ML/GenAI algorithms , methodologies, and end-to-end lifecycle including MLOps and post-deployment model support. Strong comprehension of complex business problems in Life Sciences or Oil & Energy domains. Exceptional articulation and communication skills to bridge technical and business perspectives. Advanced analytical and problem-solving ability for actionable insights and strategic outcomes. Additional Skills (Good to Have) Exposure to cloud platforms (AWS / Azure / GCP), DevOps , and deployment frameworks. Experience leading agile teams and using agile methodology. Familiarity with data visualization tools (Tableau, Power BI). Understanding of data engineering principles and big data ecosystems . If you're an experienced Data Science professional looking to make an impact in complex, high-visibility projects we'd love to hear from you. #Hiring #DataScience #AI #ML #GenAI #LifeSciences #OilAndEnergy #Elevarae #DataScienceJobs #HybridWork #ImmediateJoiners #PuneJobs
You will be responsible for leading the data management efforts at our client's R&D team in Kolkata. Your role will involve designing, developing, and deploying data management and storage modules in their product. Additionally, you will oversee data architecture, integration processes, and ensure data quality, performance, and optimal usage of storage technologies. Key Responsibilities: - Drive the design, development, and deployment of data management and storage modules. - Oversee data architecture and integration processes. - Enable real-time and batch ETL and ELT processes for data quality and performance. - Ensure data governance principles and best practices are followed. - Implement data access controls, data masking, and encryption processes. - Develop a central technical and business meta data layer using modern technologies. - Lead a team of developers to deliver required capabilities and features. - Collaborate with product management and QA teams for alignment and quality. Qualifications: - Bachelor's or master's degree in computer science or a related field (BTech preferred). - 10-15 years of experience in data management, with at least 10 years in a similar role. - Strong proficiency in big data technologies, SQL, and data warehousing solutions. - Experience with ETL and ELT tools, data modeling, and data warehouse concepts. - Knowledge of data quality concepts, metadata management, and data governance principles. - Understanding of product lifecycle and roadmap planning. - Experience with large product or services companies is preferred.,