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Java Lead Engineer

Kanor Systems

Bethesda, Maryland • Today

Easy Apply

Contract, Third Party

Java Senior Engineer

Purple Drive Technologies LLC

Arlington, Virginia • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

Lead Software Engineer

System One

Hybrid in Reston, Virginia • 7d ago

Easy Apply

Contract

$88.64

Lead Developer - Java

FINRA - Financial Industry Regulatory Authority

Rockville, Maryland • Today

Full-time

USD 131,200.00 - 238,300.00 per year

Lead Software Developer - Java

Leidos

Gaithersburg, Maryland • Today

Full-time

USD 87,100.00 - 157,450.00 per year

Principal Java Architect / Lead Java Engineer

Vigna Solutions Inc.

Remote or Hybrid in Phoenix, Arizona • Yesterday

Easy Apply

Contract

Depends on Experience

Lead Java Developer

SolutionIT, Inc.

Remote • Today

Easy Apply

Third Party, Contract

Senior Java Engineer - Secret Clearance Required

Agile Defense

Arlington, Virginia • Today

Full-time

USD 115,000.00 - 140,000.00 per year

Senior Java Software Engineer

Helm Point Solutions

Fort Meade, Maryland • Today

Full-time

USD 200,000.00 - 220,000.00 per year

Lead Java Software Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior Java Engineer

Accenture LLP

Arlington, Virginia • Today

Full-time

USD 94,000.00 - 178,700.00 per year

Software Engineer (Java / AWS GovCloud / DevSecOps)

System One

Ashburn, Virginia • 16d ago

Easy Apply

Contract

Depends on Experience

Senior Backend Engineer - Java / AWS

HyrUS Inc.

Washington, District of Columbia • Yesterday

Easy Apply

Full-time, Part-time, Third Party, Contract

USD 65-65

Senior Application Engineer Java / React

Oraapps Inc

Hybrid in Reston, Virginia • Yesterday

Easy Apply

Contract

60 - 65

Java Software Engineer (Associate/Experienced)

Boeing Company

Herndon, Virginia • Today

Full-time

USD 106,250.00 - 143,750.00 per year

Sr Java Developer/Lead with Payments Platform Experience

Spar Information Systems

Remote • Today

Easy Apply

Contract, Third Party

Tech Lead / Senior Java Developer

Integral

Fort Meade, Maryland • Today

Full-time

USD 150,000.00 - 180,000.00 per year

Lead Java Software Engineer

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 100,000.00 - 170,500.00 per year

Senior Java Software Engineer / Technical Lead (U.S. Remote)

Winsome Software LLC

Remote • 23d ago

Easy Apply

Third Party, Contract

55 - 75

Lead Software Engineer - Email Platform SME - Enterprise Email, SES. DNS, Java Development - ZL

SES

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Java Engineer - Secret Clearance Required

Agile Defense

Arlington, Virginia • Today

Full-time

USD 70,000.00 - 110,000.00 per year

Lead Software Engineer

Software Guidance & Assistance

Rockville, Maryland • Today

Contract

Lead Software Engineer

FINRA - Financial Industry Regulatory Authority

Tysons, Virginia • Today

Full-time

USD 212,175.00 - 238,300.00 per year

Senior Software Engineer - Data Integration Libraries (Java/Python)

General Dynamics

Maryland • Today

Full-time

USD 162,037.00 - 219,227.00 per year

Lead Software Engineer

Eliassen Group

Rockville, Maryland • Today

Contract

Java Technical Lead with Financial Services Domain Experience (15 - 20 years)

SumasEdge Corporation

Remote • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Software Engineer (Java/Angular) - Rockville, MD or Tysons, VA

Software Guidance & Assistance

Tysons, Virginia • Today

Contract

USD 72.00 - 77.00 per hour

Lead Software Engineer

STR

Arlington, Virginia • Today

Full-time

USD 180,000.00 - 230,000.00 per year

Java Lead Developer with Supply Chain domain experience

Spar Information Systems

Remote • Today

Easy Apply

Contract, Third Party

Software Engineer (C++, Python, GoLang, or Java) - Onsite 4 Days - Reston, VA - FreeWheel

Comcast Corp

Reston, Virginia • Today

Full-time

USD 120,212.52 - 180,318.78 per year

Job Details

Skills

Spring Boot
AWS
REST APIs
Spring WebFlux
AI coding

Summary

Role : Lead Engineer

Location :Bethesda , MD

Hybrid 2-3 days

Client :Hospitality Client

The Lead Engineer will lead the replat forming of a mission-critical API platform from a legacy framework to Java Spring Boot WebFlux using AI-assisted development. The platform serves customer-facing web and mobile experiences and high-impact internal applications, so reliability, security and backward compatibility are non-negotiable.The role also helps establish AI-assisted development as a repeatable practice. You will lead a team delivering with Cursor (or an equivalent AI coding tool) under a structured AI development lifecycle (AI-DLC or equivalent), and turn what works into patterns, guardrails and metrics other teams can adopt.

Technical leadership and migration

Own the technical design and delivery of the replatforming effort: REST and SOAP APIs migrated from a legacy framework to Spring Boot WebFlux with contract and behavioral parity.
Define the target reference architecture: reactive patterns, error handling, resiliency (timeouts, retries, circuit breakers), observability and security for identity and PII data.
Plan and run a low-risk cutover strategy (strangler pattern, parallel run, traffic shadowing, feature flags, staged rollout) with no disruption to consuming applications.
Partner with integration owners across the architecture to manage API contracts, dependencies and deprecation.
Operationalize AI-DLC or an equivalent AI development lifecycle across the team: AI-supported inception (requirements, legacy code analysis, API inventory), construction (code generation, test generation, refactoring) and operations (deployment, monitoring, runbooks), with human approval at each gate.
Build and maintain the team's Cursor setup: project rules, prompt and context libraries, reusable templates, and agent workflows for repeatable legacy-to-target conversion patterns.
Use AI to accelerate legacy comprehension: documenting existing application behavior, generating characterization tests and contract tests before code is migrated.
Coach engineers on effective AI pairing: when to trust, verify, or reject AI output.
Implement AI guardrails: approved tools and models, data handling rules (no customer data or secrets in prompts), secure coding standards, and mandatory human review of AI-generated code.
Enforce quality gates in CI/CD: static analysis, SAST/DAST, dependency and license scanning, test coverage thresholds, and performance baselines.
Maintain traceability of AI-assisted changes for audit and compliance needs.
Define and report pilot metrics: cycle time, throughput, defect escape rate, rework, test coverage, cost per API migrated, and developer experience.
Produce the playbook, reference implementations and lessons learned that other teams will use to adopt AI-assisted development.
Present progress and findings to engineering leadership and architecture governance forums.

Required qualifications

12+ years of software engineering experience, including 3+ years leading engineering teams or technical workstreams.
Expert-level Java: concurrency, performance tuning, and modern language features.
Deep hands-on Spring Boot experience, including Spring WebFlux and Project Reactor (Mono/Flux, backpressure, non-blocking I/O, reactive testing with StepVerifier).
Proven experience building and operating high-volume REST APIs; working knowledge of SOAP/WSDL services and how to preserve or modernize them.
Hands-on use of Cursor or an equivalent AI coding tool (GitHub Copilot, Claude Code, Windsurf, Amazon Q Developer) in production delivery, including configuring rules, context and prompts for a team.
AWS or equivalent cloud (Azure, Google Cloud Platform): containers (EKS/ECS or Kubernetes), API gateways, IAM, secrets management, managed databases and caching, and infrastructure as code (Terraform or CloudFormation).
CI/CD and automated testing: unit, integration, contract (e.g. Pact, Spring Cloud Contract) and performance testing.
Security fundamentals for identity and customer data: OAuth 2.0/OIDC, encryption, PII handling, OWASP API Top 10.
Observability: structured logging, metrics and distributed tracing (e.g. OpenTelemetry, Datadog, CloudWatch, Splunk).
Knowledge of event streaming with Apache Kafka (producers/consumers, topic design, schema management) and large-scale distributed databases such as Apache Cassandra (data modeling, consistency tuning, reactive drivers).
Sets technical direction and makes architectural trade-offs under delivery pressure, documenting decisions (ADRs) so others can follow them.
Breaks a large migration into sequenced, estimable increments and keeps delivery predictable.
Mentors engineers of mixed experience levels in reactive Java and AI-assisted engineering.
Leads rigorous code and design reviews, holding AI-generated code to the same standard as human-written code.
Manages risk proactively: identifies dependencies, failure modes and rollback plans before they become incidents.
Works effectively with onshore/offshore and vendor or partner teams.
Communicates clearly to both engineers and executives; can explain AI-assisted delivery outcomes in terms of speed, cost, quality and risk.
Builds adoption of new ways of working, addressing skepticism with evidence.
Manages stakeholders across product, architecture, security, QA and operations teams.
Reports progress transparently, including what is not working, not just successes.
Keeps skills current as AI tooling and practices evolve.
Takes ownership of production incidents affecting customer-facing systems, from response through resolution and follow-up.

Preferred qualifications

Experience with Play Framework and Akka (Scala or Java), especially reading and migrating legacy Play controllers, actors and routing.
Has led or played a key role in an AI-assisted replatforming or modernization effort, with measurable results on speed or quality.
Experience applying a structured AI development methodology such as AI-DLC or equivalent, or building team-level AI coding standards and governance.
Background in customer identity, CIAM, profile or customer data platforms in regulated or high-availability environments.
Familiarity with privacy and compliance requirements (e.g. SOC 2, PCI DSS, GDPR, CCPA).
Experience with MCP servers, AI agents or custom tooling that connects AI coding assistants to internal systems and documentation.
Relevant certifications such as AWS Certified Solutions Architect or Developer, or Spring Professional.
Experience with behavior-driven development (BDD) and frameworks such as Cucumber, including setting the team's approach to executable specifications that verify behavioral parity during migration

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90943834
Position Id: 2026-257
Posted 30+ days ago

Fitment

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Job Details

Skills

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Summary

Role : Lead Engineer

Location :Bethesda , MD

Hybrid 2-3 days

Client :Hospitality Client

Technical leadership and migration

Own the technical design and delivery of the replatforming effort: REST and SOAP APIs migrated from a legacy framework to Spring Boot WebFlux with contract and behavioral parity.
Define the target reference architecture: reactive patterns, error handling, resiliency (timeouts, retries, circuit breakers), observability and security for identity and PII data.
Plan and run a low-risk cutover strategy (strangler pattern, parallel run, traffic shadowing, feature flags, staged rollout) with no disruption to consuming applications.
Partner with integration owners across the architecture to manage API contracts, dependencies and deprecation.
Operationalize AI-DLC or an equivalent AI development lifecycle across the team: AI-supported inception (requirements, legacy code analysis, API inventory), construction (code generation, test generation, refactoring) and operations (deployment, monitoring, runbooks), with human approval at each gate.
Build and maintain the team's Cursor setup: project rules, prompt and context libraries, reusable templates, and agent workflows for repeatable legacy-to-target conversion patterns.
Use AI to accelerate legacy comprehension: documenting existing application behavior, generating characterization tests and contract tests before code is migrated.
Coach engineers on effective AI pairing: when to trust, verify, or reject AI output.
Implement AI guardrails: approved tools and models, data handling rules (no customer data or secrets in prompts), secure coding standards, and mandatory human review of AI-generated code.
Enforce quality gates in CI/CD: static analysis, SAST/DAST, dependency and license scanning, test coverage thresholds, and performance baselines.
Maintain traceability of AI-assisted changes for audit and compliance needs.
Define and report pilot metrics: cycle time, throughput, defect escape rate, rework, test coverage, cost per API migrated, and developer experience.
Produce the playbook, reference implementations and lessons learned that other teams will use to adopt AI-assisted development.
Present progress and findings to engineering leadership and architecture governance forums.

Required qualifications

12+ years of software engineering experience, including 3+ years leading engineering teams or technical workstreams.
Expert-level Java: concurrency, performance tuning, and modern language features.
Deep hands-on Spring Boot experience, including Spring WebFlux and Project Reactor (Mono/Flux, backpressure, non-blocking I/O, reactive testing with StepVerifier).
Proven experience building and operating high-volume REST APIs; working knowledge of SOAP/WSDL services and how to preserve or modernize them.
Hands-on use of Cursor or an equivalent AI coding tool (GitHub Copilot, Claude Code, Windsurf, Amazon Q Developer) in production delivery, including configuring rules, context and prompts for a team.
AWS or equivalent cloud (Azure, Google Cloud Platform): containers (EKS/ECS or Kubernetes), API gateways, IAM, secrets management, managed databases and caching, and infrastructure as code (Terraform or CloudFormation).
CI/CD and automated testing: unit, integration, contract (e.g. Pact, Spring Cloud Contract) and performance testing.
Security fundamentals for identity and customer data: OAuth 2.0/OIDC, encryption, PII handling, OWASP API Top 10.
Observability: structured logging, metrics and distributed tracing (e.g. OpenTelemetry, Datadog, CloudWatch, Splunk).
Knowledge of event streaming with Apache Kafka (producers/consumers, topic design, schema management) and large-scale distributed databases such as Apache Cassandra (data modeling, consistency tuning, reactive drivers).
Sets technical direction and makes architectural trade-offs under delivery pressure, documenting decisions (ADRs) so others can follow them.
Breaks a large migration into sequenced, estimable increments and keeps delivery predictable.
Mentors engineers of mixed experience levels in reactive Java and AI-assisted engineering.
Leads rigorous code and design reviews, holding AI-generated code to the same standard as human-written code.
Manages risk proactively: identifies dependencies, failure modes and rollback plans before they become incidents.
Works effectively with onshore/offshore and vendor or partner teams.
Communicates clearly to both engineers and executives; can explain AI-assisted delivery outcomes in terms of speed, cost, quality and risk.
Builds adoption of new ways of working, addressing skepticism with evidence.
Manages stakeholders across product, architecture, security, QA and operations teams.
Reports progress transparently, including what is not working, not just successes.
Keeps skills current as AI tooling and practices evolve.
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Preferred qualifications

Experience with Play Framework and Akka (Scala or Java), especially reading and migrating legacy Play controllers, actors and routing.
Has led or played a key role in an AI-assisted replatforming or modernization effort, with measurable results on speed or quality.
Experience applying a structured AI development methodology such as AI-DLC or equivalent, or building team-level AI coding standards and governance.
Background in customer identity, CIAM, profile or customer data platforms in regulated or high-availability environments.
Familiarity with privacy and compliance requirements (e.g. SOC 2, PCI DSS, GDPR, CCPA).
Experience with MCP servers, AI agents or custom tooling that connects AI coding assistants to internal systems and documentation.
Relevant certifications such as AWS Certified Solutions Architect or Developer, or Spring Professional.
Experience with behavior-driven development (BDD) and frameworks such as Cucumber, including setting the team's approach to executable specifications that verify behavioral parity during migration

Dice Id: 90943834
Position Id: 2026-257
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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