Location: NY, United States

Title: Lead Software Engineer, Consumer & Community Banking, Travel

 

As a Lead Software Engineer within Chase Travel, you will guide an agile team to design, build, and operate secure, stable, and scalable products. You will own technical outcomes endtoend, set engineering standards, and mentor engineers while advancing AIFirst development practices that responsibly improve delivery speed, quality, and reliability. 

 

What youll do

• Technical leadership and delivery  
  • Lead the design and implementation of complex services and features across upstream/downstream systems; drive architecture decisions, API contracts, and versioning.
  • Own production readiness and operational excellence: SLOs, observability, incident management, and continuous improvement.
  • Champion securebydefault and resilient designs (timeouts, retries, circuit breakers, bulkheads) and guide the team through tradeoffs.
• Handson engineering 
  • Write highquality, secure code (Java, Spring Boot, React/Next.js) and perform rigorous code reviews that reinforce standards in testing, security, and performance.
  • Apply SDLC tooling to automate quality (CI/CD, code quality gates, test automation, dependency/security scanning).
• AIFirst engineering practices 
  • Integrate approved, privacysafe AI assistants into the development workflow with humanintheloop review and objective CI gates.
  • Use AI to accelerate test generation, documentation, and static analysis triage; measure impact on throughput, defect rates, and code quality.
  • For AI features (if applicable), apply guardrails and evaluation: offline test sets, precision/recall metrics, latency budgets, and safe fallback paths.
• Collaboration and influence 
  • Coordinate with product, architecture, and partner teams to align priorities, reduce integration risk, and ensure backward compatibility.
  • Mentor and coach engineers; lead design reviews and architecture decision records; foster an inclusive, hightrust team culture.

Required qualifications, capabilities, and skills

• 8+ years of professional software engineering experience, including 13 years leading delivery for a squad or stream of work.
• Proven expertise in one or more: Java, Spring Boot, React/Next.js; strong grasp of data structures, algorithms, and system design.
• Handson experience with system design, application development, testing strategy, and operational stability in large, distributed environments.
• SDLC excellence: CI/CD pipelines, automated testing (unit, integration, contract, E2E), code quality gates, and observability (logs, metrics, traces).
• Security and resiliency: OWASP Top 10, OAuth2/OIDC, secrets management, encryption in transit/at rest, and resilient integration patterns.
• Database proficiency: SQL and a NoSQL store; query optimization, indexing, transactions, and caching strategies.
• Agile delivery at scale; experience guiding teams through tradeoffs and phased rollouts with feature flags and safe rollback.
• AIFirst development exposure: experience operationalizing AI assistants or AIpowered dev workflows with governance, prompt hygiene, and measurable outcomes.

Preferred qualifications, capabilities, and skills

• Familiarity with modern frontend frameworks and Web performance/accessibility best practices.
• Exposure to AWS (e.g., ECS/EKS/Lambda, API Gateway, RDS/DynamoDB, S3, CloudWatch, IAM) and cloudnative resiliency patterns.
• Experience introducing evaluation frameworks for AI features or dev tooling (offline test sets, canarying models/tools, telemetry and drift detection).
• Domain experience in travel/booking or similar transactional systems.
• Formal training/certifications in software engineering, cloud, or security.

How we measure success

• Reliability and security: SLOs met, reduced incident rates/MTTR, timely remediation of vulnerabilities.
• Delivery and quality: increased deployment frequency, reduced changefailure rate, improved test coverage and mutation score.
• Team impact: improved code review quality and cycle time; mentoring outcomes and crossteam collaboration effectiveness.
• AIFirst outcomes: measurable improvements in developer throughput and defect detection without compromising privacy or security.

Daytoday technologies

• Backend: Java, Spring Boot; RESTful APIs; message/eventing where appropriate
• Frontend: React/Next.js
• Data: SQL and NoSQL; caching (e.g., Redis)
• Platform/DevOps: Git, CI/CD pipelines, containerization, observability stack
• Security: SAST/DAST, dependency scanning, secrets management
• AIassisted dev: governed coding assistants, test generation, static analysis triage with human review and CI gates

Inclusive culture We value diverse perspectives and a culture of inclusion, mentorship, and respect. You help create a collaborative environment where engineers grow and deliver their best work.

As a Lead Software Engineer within Chase Travel, you will guide an agile team to design, build, and operate secure, stable, and scalable products. You will own technical outcomes endtoend, set engineering standards, and mentor engineers while advancing AIFirst development practices that responsibly improve delivery speed, quality, and reliability.