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Sr Lead Engineer - I_FullStack Java

CitiusTech

BrentwoodFull-timeMid LevelOn-site

Job Description

Role description Role & Responsibilities :• Design, develop, test, and deploy Java microservices on GCP; implement resilient, observable services in a microservice architecture.• Implement messaging/streaming integrations using Kafka and GCP Pub/Sub; design for at least once/exactly once semantics and back pressure.• Work with GCP Kubernetes (GKE) for container orchestration; automate CI/CD and promote builds across environments.• Model and optimize data access on Cloud Spanner; contribute to schema design, transaction strategies, and performance tuning.• Own E2E quality: unit, integration, contract, and performance testing; drive high code coverage and automated quality gates.• Collaborate across architecture, data modeling, security, and product teams; demo features, capture feedback, and iterate quickly.• Document LLD/sequence diagrams, and contribute to coding standards, architecture guidelines, and re usable libraries.• Support production (SRE/DevOps mindset): monitoring, s, incident response, and RCA.Mandatory Skills (Must Have) :• 10+ years of professional software engineering experience; Java 8+ in production.• 4+ years recent, hands on Spring ecosystem (Spring 4/5, Spring Boot 2+, Spring Data, Spring Cloud, Spring Integration, Spring REST).• Event driven / asynchronous architecture; 4+ years integrating with brokers (Kafka / Pub/Sub) and applying appropriate design patterns.• GCP hands on: GCS Buckets, Kubernetes (GKE), Pub/Sub, Kafka; infrastructure and services usage in production.• Cloud Spanner experience (or strong NoSQL exposure with Cassandra/Couchbase and proven ability to ramp).• Microservices design & implementation at enterprise scale.• Strong testing discipline: JUnit5, Spring test (unit/integration), isolated layer testing, Hamcrest/AssertJ; mocking & debugging.• Modern tooling: Git (enterprise workflows), Gradle/Maven, IntelliJ (preferred) or equivalent; CI/CD (Jenkins/GitHub Actions/Sonar).• Clear communication, stakeholder engagement, and cross functional collaboration.• Gen AI / Agentic AI exposure to build workflows and agents using ADK, A2A and MCPNice to Have :• Angular/React (recent production experience).• Windsurf AI (developer productivity/AI assisted workflows).• GCP Dataflow (batch/stream processing)• US healthcare context-Clinical data, medications, orders, labs.• Agile delivery experience (Scrum/Kanban) with Jira; epic/story breakdown, estimation, demos, and acceptance.Education :• Bachelor's/Master's in Computer Science, Engineering, or related field.• Relevant cloud or healthcare certifications are a plus.Work Hours & Location :• Operate primarily in CST/MST hours; onsite in Brentwood, TN when needed for collaboration is preferred. Remote is supported for qualified candidates.Ganesh - FYI. Please share the list of candidates who had evaluated from last batch back in December/Jan.

I remember there was one candidate named Atal who was good and internally selected by Davita and please share the other profiles.L4 - L7 (Tech Lead -Architect -Principal)Proven experience architecting and delivering systems using agentic IDEsAbility to: • Define architectural intent that agents can follow• Break features into agent executable tasks• Govern AI autonomy (guardrails, permissions, reviews)• Integrate agentic workflows into CI/CD pipelinesExperience supervising AI agents across: • Multi service systems• Legacy modernization• Large codebases / monoreposStrong understanding of: • Security implications of autonomous code execution• Compliance, auditability, and traceability• AI assisted SDLC operating modelsCore Responsibility:• Guide effective use of agentic IDEs for complex, multi-module or cross-service changes• Establish review practices and quality checks for AI-generated code• Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development • Design system architectures that support AI-augmented and agentic development workflows• Define guardrails, standards, and governance for the use of autonomous coding agents• Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt

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