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David Careers

Java Software Engineer Manager

Posted 14 days ago

new york technology partnersMiami Springs (FL)
Software DevelopersComputer Systems Design Services

SENIORITY

Lead

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About the role

Key Responsibilities: Engineering & Architecture LeadershipLead 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 LeadershipLead 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, 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.

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