Java Software Engineer Manager Job Miami area,Florida USA,Software Development

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, Dev Ops, 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 No

SQL data stores, and enterprise messaging platforms.
Apply cloud-native and microservices patterns while avoiding unnecessary complexity and unmanaged operational risk.

Dev Sec Ops , Quality & Production Readiness

Guide Jenkins-based CI/CD, Git Hub branching and pull request workflows, automated quality checks, artifact management, deployment, and release practices.
Enforce meaningful unit, component, contract, integration, regression, performance testing; use Sonar Qube 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.
Use enterprise-approved AI engineering tools, Cursor, Amazon Kiro, Claude, or comparable platforms.
Apply Code2

Spec practices to derive functional and technical specifications, interfaces, business rules, dependencies, and validation conditions from legacy code.
Apply Spec2

Code 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.