Lead Software Engineer - Consumer Community Banking

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 end-to-end, set engineering standards, and mentor engineers while advancing AI-First development practices that responsibly improve delivery speed, quality, and reliability.

What you’ll 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 secure-by-default and resilient designs (timeouts, retries, circuit breakers, bulkheads) and guide the team through trade-offs.
• Hands-on engineering
  • Write high-quality, 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).
• AI-First engineering practices
  • Integrate approved, privacy-safe AI assistants into the development workflow with human-in-the-loop 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, high-trust team culture.

Required qualifications, capabilities, and skills

• 8+ years of professional software engineering experience, including 1-3 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.
• Hands-on 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 trade-offs and phased rollouts with feature flags and safe rollback.
• AI-First development exposure: experience operationalizing AI assistants or AI-powered dev workflows with governance, prompt hygiene, and measurable outcomes.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end frameworks and Web performance/accessibility best practices.
• Exposure to AWS (e.g., ECS/EKS/Lambda, API Gateway, RDS/DynamoDB, S3, CloudWatch, IAM) and cloud-native 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 change-failure rate, improved test coverage and mutation score.
• Team impact: improved code review quality and cycle time; mentoring outcomes and cross-team collaboration effectiveness.
• AI-First outcomes: measurable improvements in developer throughput and defect detection without compromising privacy or security.

Day-to-day 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
• AI-assisted 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.