Lead Software Engineer Python GenAI
JPMorgan Chase2 days ago
Responsibilities
- Design, code, test, and deliver automation, including LLMs and agents, to eliminate manual operational work and remediate operational findings.
- Govern application risk, controls, compliance, lifecycle management, evidence management, and remediation of issues such as FARM findings.
- Own application security and data accountability, including authentication, authorization, vulnerability and certificate hygiene, data classification, retention, and disposal.
- Coordinate product and engineering teams to prioritize and execute operational workstreams while influencing and coaching developer communities.
- Operate resilient production services through monitoring, logging, anomaly detection, secure network configurations, least privilege, incident management, change management, and recovery readiness.
- Lead reliability and stability improvements using service-level indicators, service-level objectives, error budgets, and data-driven analytics.
- Drive adoption of enterprise-authorized AI-assisted engineering practices, including code review, refactoring, testing, incident analysis, and automation.
- Document and share engineering knowledge through internal forums and communities of practice.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Advanced development experience in Java or Python with strong debugging and troubleshooting skills for complex production issues.
- Hands-on experience with AWS or other clouds and container platforms or orchestration technologies such as Docker, Kubernetes, and ECS.
- Experience building scalable data processing and Big Data/ETL pipelines, including Hortonworks or AWS-based solutions.
- Working knowledge of infrastructure, compute, storage, networks, cloud products, routers, and load balancers, with the ability to troubleshoot networking issues.
- Deep proficiency in reliability, scalability, performance, security, enterprise architecture, toil reduction, and SRE practices.
- Experience with white-box and black-box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
- Ability to learn and evaluate new technologies, teach languages, solve complex data structures and algorithms problems, and collaborate across stakeholder groups.
- Experience leading the effective use of approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, resiliency, and security expectations.
- Preferred: current AWS credential such as Cloud Practitioner, Solutions Architect, SysOps Administrator, or Developer.
- Preferred: recognized automation or DevOps credential involving Kubernetes, containers, CI/CD, infrastructure as code, or site reliability.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location; eligible roles may also receive commission-based pay or discretionary incentive compensation.
- Comprehensive health care coverage and access to on-site health and wellness centers.
- Retirement savings plan and backup childcare.
- Tuition reimbursement, mental health support, and financial coaching.
- Benefits and programs are subject to eligibility and additional compensation details are provided during the hiring process.
Tech Stack
Categories
BackendSite Reliability
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.