Sr. Lead Software Engineer - Java, Spring, API, AWS

JPMorgan Chase & Co.Wilmington, DE
6h

About The Position

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer - Java, Spring, API, AWS at JPMorgan Chase within our Corporate sector's Global Finance Technology team, you will play a pivotal role in an agile team focused on developing secure, stable, and scalable technology products. You will leverage your technical expertise to solve complex challenges across various technologies and applications, significantly impacting the business. Your responsibilities include contributing production-quality code, writing tests, performing code reviews, and engaging in pair programming. You will design and deliver secure microservices and web applications using Java/Spring Boot and React, while also handling deep debugging and performance tuning. You will oversee the end-to-end build-and-run process, ensuring high-quality service delivery. As a technical leader, you will set engineering standards and provide guidance on architecture, code quality, and operational excellence. You will act as a subject matter expert in microservices, CI/CD, and performance engineering, while championing SDLC practices. Additionally, you will evaluate and introduce technologies to enhance reliability, scalability, and cost efficiency. Your role will also involve embedding non-functional requirements into designs and fostering an inclusive team culture through mentorship and continuous improvement.

Requirements

  • Formal training or certification in software engineering and 5+ years of applied experience.
  • Advanced proficiency in Java and Spring Boot; strong fundamentals, design patterns, and secure coding.
  • Full‑stack delivery with React (component/state management) and secure RESTful API design.
  • Hands‑on AWS experience (EC2, ECS, S3, Lambda, RDS, IAM), including containerized workloads, networking, and secrets management.
  • Microservices design, deployment, and operations.
  • CI/CD pipelines (Jenkins/GitHub Actions), automated testing (unit/integration/contract), and enforcing quality gates.
  • Relational and NoSQL databases: schema design, performance tuning, and secure data access.
  • Monitoring and logging with DataDog, Dynatrace, and/or Splunk.
  • Reliability and performance engineering: concurrency, thread management, caching, and resiliency patterns (circuit breakers, retries, backoff), with cost awareness.
  • Proven track record shipping and operating production systems; comfortable troubleshooting in Kubernetes, CI/CD, and cloud environments.
  • Hands‑on use of AI coding assistants to accelerate delivery (e.g., GitHub Copilot): prompt design, code/test generation, refactoring, and documentation synthesis; ability to validate outputs for correctness, security, performance, and licensing compliance. Use subject to company-approved tools and policies.

Nice To Haves

  • Understanding of regulatory finance/external reporting (workflows, reconciliations, controls).
  • Cloud certifications; proven cloud‑native delivery on AWS.
  • Experience with large‑scale distributed systems, event‑driven architectures, and messaging/streaming patterns.
  • Observability/SRE depth: telemetry pipelines, alerting strategies, incident response, post‑mortems, and continuous improvement.

Responsibilities

  • Lead by example: contribute production‑quality code daily, write tests, perform code reviews, and pair program.
  • Design and deliver secure, high‑quality microservices and web applications with Java/Spring Boot and React; own deep debugging, root‑cause analysis, and performance tuning for high-availability services.
  • Own end‑to‑end build‑and‑run: design, implement, test, deploy, and operate services (“you build it, you run it”).
  • Provide technical leadership across teams; set engineering standards and coach on architecture, code quality, security, and operational excellence.
  • Act as SME for microservices, CI/CD, observability, performance engineering, and data modeling.
  • Champion SDLC practices: test automation, CI/CD, security‑by‑default, quality gates, and disciplined change management.
  • Evaluate and introduce technologies that improve reliability, scalability, cost efficiency, and auditability.
  • Embed non‑functional requirements (security, scalability, reliability, observability, cost) into designs; implement logging, metrics, tracing, SLOs, error budgets, alerting, and runbooks.
  • Foster an inclusive team culture; mentor engineers and drive continuous improvement and craftsmanship.

Benefits

  • We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
  • Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
  • We also offer a range of benefits and programs to meet employee needs, based on eligibility.
  • These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
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