Sr. Java Developer

Job Title: Sr. Java Developer
Length: 6 months

Availability for interview:

Location: Hybrid - 3 days a week onsite at one of these locations: San Francisco, Arlington, VA, Denver, CO, Chicago, Boston, NYC, Houston, Miami, Los Angeles, Seattle, Dallas, Minneapolis, Minn, Atlanta, GA, Birmingham, MI or Irvine, CA

Must haves:
Candidates must be hands-on and have the ability to be client facing and manage stake holders.
Java Microservices Engineering & Architecture
Deep hands-on expertise in Java, Spring Boot, REST APIs, distributed systems, microservices design, architecture trade-offs, NFRs, and enterprise-scale solution design.
Cloud-Native Platform Delivery
Strong AWS experience with Docker, Kubernetes/EKS, Kafka/event-driven architecture, secure integrations, CI/CD, DevSecOps, observability, and production readiness.

Technical Leadership & Client Consulting
Proven ability to lead distributed engineering teams, mentor developers, manage delivery risks, communicate with client stakeholders, estimate work, and drive modernization outcomes.


Your Impact
• Own technical outcomes for scalable, resilient, secure, and maintainable Java microservices and distributed systems.
• Lead solution design and modernization decisions across multiple services and business capabilities, not only a single module.
• Translate business needs into architecture, delivery plans, technical designs, estimates, risks, and measurable acceptance criteria.
• Guide engineers through design reviews, critical code contributions, pull request reviews, structured problem solving, and technical coaching.
• Use AI-assisted Code2Spec and Spec2Code approaches to accelerate legacy modernization while preserving functional equivalence, security, and engineering quality.
• Build client confidence through clear communication, early risk escalation, reliable delivery, and evidence-based recommendations.

Key Responsibilities
Engineering & Architecture Leadership
• Lead the end-to-end design, development, testing, deployment, and support of Java-based microservices, REST APIs, and event-driven applications.
• Remain hands-on in architecture, design, prototypes, critical code paths, complex debugging, performance tuning, and technical decision-making.
• Create and review architecture artifacts, technical design documents, API contracts, sequence and data flows, threat considerations, and implementation approaches.
• Drive sound decisions across scalability, availability, resilience, security, observability, maintainability, and cost.
• Act as a technical escalation point for complex application, integration, data, cloud, and production issues; lead root-cause analysis and durable remediation.

Client Consulting & Delivery Leadership
• Lead discovery sessions, technical workshops, architecture reviews, solution walkthroughs, demos, and modernization planning with client stakeholders.
• Explain architecture options, trade-offs, assumptions, dependencies, risks, and recommendations to technical and non-technical audiences.
• Partner with product, architecture, quality engineering, security, DevOps, and program leadership to align technology outcomes with business goals.
• Provide credible estimates, identify delivery and technical risks early, define mitigation plans, and support predictable sprint and release commitments.
• Collaborate across US, nearshore, and offshore teams, helping establish clear ownership, engineering standards, and effective ways of working.

Cloud-Native, Integration & Event Streaming
• Design and deliver AWS-hosted solutions using appropriate compute, storage, identity, monitoring, database, messaging, and container services.
• Containerize applications with Docker and deploy or support workloads on Kubernetes, including Amazon EKS where applicable.
• Design Kafka-based producer and consumer flows, delivery semantics, error handling, replay, idempotency, schema evolution, and operational support.
• Guide secure integration with authentication and authorization services, internal and third-party APIs, relational or NoSQL data stores, and enterprise messaging platforms.
• Apply cloud-native and microservices patterns while avoiding unnecessary complexity and unmanaged operational risk.

DevSecOps, Quality & Production Readiness
• Guide Jenkins-based CI/CD, GitHub branching and pull request workflows, automated quality checks, artifact management, deployment, and release practices.
• Enforce meaningful unit, component, contract, integration, regression, and performance testing; use SonarQube quality gates and static analysis responsibly.
• Define and validate non-functional requirements for performance, capacity, availability, reliability, security, recovery, and maintainability.
• Use Dynatrace and complementary telemetry for dashboards, diagnostics, alerting, production health, and continuous reliability improvement.
• Lead production readiness reviews, incident analysis, corrective actions, and technical debt prioritization.

AI-Assisted Legacy Modernization
• Use enterprise-approved AI engineering tools, which may include Publicis Sapient Slingshot, Cursor, Amazon Kiro, Claude, or comparable platforms.
• Apply Code2Spec practices to derive functional and technical specifications, interfaces, business rules, dependencies, and validation conditions from legacy code.
• Apply Spec2Code practices to accelerate target-state Java microservices while maintaining architecture standards, secure coding, testability, and human review.
• Design validation methods that compare legacy and migrated behavior through traceability, regression, data reconciliation, boundary checks, exception analysis, and targeted manual review.
• Ensure engineers understand generated code and remain accountable for correctness, security, privacy, maintainability, and production outcomes.

Team Leadership & Engineering Culture
• Mentor and guide engineers through technical coaching, code reviews, pairing, design feedback, and structured problem-solving.
• Delegate effectively while retaining accountability for technical quality, delivery outcomes, and operational readiness.
• Promote a culture of ownership, constructive challenge, continuous learning, documentation, inclusion, and blameless improvement.
• Contribute to interviewing, technical assessment, onboarding, capability development, and engineering community initiatives.