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Lead Software Engineer

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Lead Software Engineer in USA new

  • JPMorgan Chase
  • Full time
  • Email
  • Plano, TX

Responsibilities

  • Design and develop full-stack software solutions aligned with business outcomes.
  • Build AI-driven capabilities including LLM-based services, orchestration, and workflow integrations.
  • Architect and deliver secure, scalable, resilient cloud-native microservices and APIs.
  • Lead adoption and validation standards for enterprise-authorized AI-assisted engineering tools and practices.
  • Mentor engineers through code reviews, pairing, technical guidance, and feedback.
  • Establish engineering standards for architecture, coding, testing, and operational readiness.
  • Own service reliability practices including SLIs/SLOs, incident response, root-cause analysis, postmortems, and continuous improvement.
  • Automate remediation and improve observability through logs, metrics, and tracing.
  • Build and maintain CI/CD pipelines and safe release strategies including canary, blue-green, rollback, and feature-flag approaches.
  • Communicate status and risks, manage priorities and dependencies, and collaborate across multiple initiatives.
  • Deliver production code primarily in Java and secondarily in Python using AWS and related technologies.

Requirements

  • Formal training or certification in Software Engineering and at least five years of applied experience building production systems.
  • Strong production system design, application development, operational stability, on-call, and incident-ownership skills.
  • Expertise with microservices, APIs, data technologies, and integration patterns.
  • Hands-on experience building cloud-native systems on AWS, GCP, or Azure.
  • Experience with distributed systems, scalability, resiliency, concurrency, idempotency, failure modes, and performance tuning.
  • Ability to influence product design and technical direction through pragmatic architectures, tradeoffs, and engineering standards.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs for correctness, performance, and security.
  • Experience leading team adoption of approved AI-assisted development practices across coding, code review, testing, and troubleshooting.
  • Hands-on experience with LLMs and generative AI use cases including RAG, summarization, extraction, and workflow assistants.
  • Understanding of responsible AI practices, data sensitivity, safe input and output handling, resiliency, and security.
  • Strong communication and stakeholder-management skills with the ability to deliver across multiple initiatives.
  • Preferred: AWS cloud certification and AI/ML or GenAI certification, or equivalent practical experience delivering LLM-enabled capabilities.
  • Preferred: advanced Java proficiency, working Python knowledge, Docker, Kubernetes, modern CI/CD, multi-region deployments, disaster recovery, and zero-downtime releases.
  • Preferred: experience delivering scalable, reliable, secure products in regulated environments; financial-services technology and IVR/CCaaS experience are a plus.

Benefits

  • Competitive total rewards package with eligibility for commission-based pay and/or discretionary incentive compensation, including cash or forfeitable equity.
  • Comprehensive health care coverage and on-site health and wellness centers.
  • Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
  • Equal opportunity employer that provides reasonable accommodations for religious practices, mental health needs, and physical disabilities.

Salary: Competitive

JPMorgan Chase

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the ...

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