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Senior Lead Software Engineer

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Senior Lead Software Engineer in USA new

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

Responsibilities

  • Lead end-to-end delivery of complex full-stack initiatives from concept through production launch.
  • Set technical direction, define target architecture, make roadmap-level decisions, and align designs with business priorities.
  • Architect and deliver secure, scalable, resilient cloud-native microservices and RESTful APIs.
  • Build LLM-based services, orchestration, and integrations into business workflows.
  • Establish team practices for AI-assisted engineering, validation, secure coding, peer review, automated testing, and reusable patterns.
  • Define and enforce engineering standards for coding, APIs, testing, dependencies, documentation, and operational readiness.
  • Own reliability outcomes, including SLIs, SLOs, incident response, root-cause analysis, and postmortems.
  • Lead observability and operational automation using logs, metrics, tracing, alerts, runbooks, and auto-remediation.
  • Improve CI/CD and safe delivery practices, including quality gates, canary or blue-green releases, feature flags, and rollback strategies.
  • Mentor senior and junior engineers through technical coaching, architecture reviews, and feedback.
  • Communicate risks, tradeoffs, priorities, and dependencies across stakeholders and initiatives.

Requirements

  • Formal training or certification in software engineering concepts plus 5+ years of applied experience, in addition to 7+ years building production systems and leading complex initiatives.
  • Strong system design, application development, operational stability, on-call readiness, and incident management experience.
  • Expertise designing microservices and RESTful APIs, with strong knowledge of data technologies and integration patterns.
  • Hands-on production experience building and operating cloud-native systems on AWS, GCP, or Azure.
  • Experience with distributed systems, scalability, resiliency, concurrency, idempotency, failure modes, and performance tuning.
  • Ability to influence technical direction, propose pragmatic architectures and tradeoffs, and work within security, controls, and SDLC expectations.
  • Experience using and leading team adoption of enterprise-authorized AI-assisted software development tools.
  • Hands-on experience with LLMs and generative AI use cases such as RAG, summarization, extraction, and workflow assistants.
  • Understanding of responsible AI practices, data sensitivity, safe input and output handling, resiliency, security, evaluation, and monitoring.
  • Strong communication and stakeholder management skills.
  • AWS cloud certification and AI/ML or GenAI certification are preferred, or equivalent practical experience delivering LLM-enabled capabilities.
  • Advanced Java proficiency and working knowledge of Python are preferred.
  • Docker, Kubernetes, modern CI/CD, multi-region deployments, disaster recovery, and zero-downtime release experience are preferred.
  • Experience delivering scalable, reliable, and secure products in regulated environments is preferred; financial services technology and IVR/CCaaS familiarity are a plus.

Benefits

  • Competitive total rewards package with eligibility for commission-based pay 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.
  • Additional compensation and benefits details are provided during the hiring process.

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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