Engineering Manager
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Job Description
Engineering Manager: Java / Spring Boot / AWS / React / AI
Location: Bangalore
Experience: 10+ Years
Key Responsibilities:
• Lead and manage engineering teams working on Java / Spring Boot / React / AWS-based applications
• Drive design and development of scalable enterprise solutions
• Manage end-to-end delivery of projects in Life Sciences / Pharma / Healthcare domain
• Work closely with Product, Business, and Client stakeholders
• Define architecture, coding standards, and engineering best practices
• Ensure high-quality, secure, and scalable application development
• Lead cloud-native development using AWS services
• Manage Agile / Scrum delivery model
• Mentor developers, architects, and technical leads
• Ensure compliance with GxP / FDA / Healthcare regulations (Good to Have)
• Drive AI-assisted engineering practices across development teams AI-Driven Development (Must Have – Vibe Coding)
• Hands-on experience with AI development tools like GitHub Copilot, Cursor, and ChatGPT
• Use AI for code generation, debugging, code reviews, and automated testing
• Strong prompt engineering skills for development workflows
• Ensure code quality through AI-assisted development practices
• Ability to improve engineering productivity using modern AI development approaches
Required Skills:
• 10+ years of experience in Software Development / Engineering
• Strong expertise in Java, Spring Boot, and Microservices architecture
• Experience with React / Angular / modern frontend frameworks
• Strong hands-on experience with AWS / Cloud platforms • Proven experience leading engineering teams
• Experience in Life Sciences / Pharma / Healthcare domain • Strong understanding of system design and architecture
• Experience working in Agile / Scrum environments
Preferred Skills:
• Experience in Clinical / R&D / Commercial Pharma / Healthcare IT
• Experience with Docker, Kubernetes, CI/CD, and DevOps practices
• Knowledge of Data Platforms, AI, and Analytics systems
• Experience managing global clients and distributed teams
Profiles to: [Confidential Information]
Job ID: 148625845
Skills:
domain driven design , rackspace , Java J2ee, Node, Continuous Integration, Unit Testing, Agile Scrum, Microservices, Ios, Java, Android, Gcp, Mvc, React Native, Amazon, Azure, Restful Services, distributed cloud-based environment, automated integration tests, Go, Ecommerce, Static Analysis, Web applications development, scalability engineering, cloud-native web applications, massive-scale performance
Skills:
Elk, Cloudformation, Prometheus, Bash, Grafana, Datadog, Jenkins, Gcp, Terraform, Azure, Helm, Kubernetes, Python, AWS, GitOps, Go, ArgoCD, GitHub actions
Skills:
data engineering , data warehouses , Mern Stack, Microservices, Devops, Rest Apis, Data Analytics, Etl, reverse ETL pipelines, cloud-native data platforms, infrastructure automation, connector development, data lakes, data orchestration workflows, scalable distributed systems, data ingestion frameworks, AWS cloud technologies, ETL ELT pipelines, CI CD pipelines, MCP iPaaS, B2B SaaS platforms, Business Intelligence, API ecosystems
Skills:
tunneling , telemetry , Pytest, Vpns, routing, Qos, Python, BGP, multicast, High Availability, Robot Framework, OSPF, switching, IS-IS, packet analysis, Go, traffic generators, Security, lab automation, Layer 3 networking, performance benchmarking tools, test infrastructure, DevOps practices, overlays, observability platforms
Skills:
Java, Solr, Elasticsearch, PowerShell, Lucene, automation, Open Search, object-oriented programming, SQL dialects
