Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
 
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Manage a team of software engineers and L3/RTE support engineers; set goals, coach, conduct performance reviews, and hire/onboard talent.
• Establish a 24x7 follow‑the‑sun or regional on‑call model; define clear escalation paths, rotations, and coverage for peak/maintenance windows.
• Define and manage SLOs/SLIs, error budgets, and capacity plans; track availability and latency KPIs and drive corrective actions.
• Maintain runbooks, playbooks, and CMDB/service catalogs; ensure they remain accurate and auditable.
• Lead major incident bridges; coordinate triage with SRE, infra, networks, vendors, and downstream partners; ensure clear comms and rapid mitigation. 
• Govern change and release processes (CAB, blackout windows, rollback plans, deployment checklists); enforce pre‑prod quality gates and change controls.
• Ensure comprehensive monitoring, alerting, and tracing across services and device integrations; tune alerts to reduce noise and improve MTTD/MTTR. 
• Partner with cybersecurity, risk, and audit; maintain evidence for control testing, SOX/SOC obligations, and regulatory audits. 
• Coordinate with ATM hardware vendors and SDK providers for patching, firmware deployments, compatibility validation, and fleet‑wide rollout plans. 
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Experience in software engineering/production operations for distributed systems, including 2+ years managing engineers or leading run/production support teams.
• Strong background operating Java‑based backend services; proficiency with REST/gRPC, messaging/streaming (Kafka, MQ), and relational/NoSQL databases (Oracle, PostgreSQL, DynamoDB/Cassandra).
• Demonstrated expertise in incident, problem, and change management at scale; experience running bridges and communicating with senior stakeholders.
• Hands‑on with observability stacks (metrics, logs, traces), alerting, and dashboarding; proven track record improving MTTD/MTTR and service availability.
• Practical experience with CI/CD, infrastructure‑as‑code, containerization/orchestration (Docker, Kubernetes), and release governance.
• Deep understanding of secure operations: vulnerability management, secrets/cert management, least‑privilege access, and audit readiness.
• Excellent people leadership, communication, and stakeholder management skills; adept at balancing stability, resiliency, and delivery priorities.

• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  
  

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

  
  

Preferred qualifications, capabilities, and skills

• ATM/channel operations experience, device control and telemetry, and vendor SDK/firmware rollout management.
• Payments and card standards knowledge (ISO 8583/20022); experience with HSMs, PIN translation, and cryptographic key management.
• Experience with device/edge fleet management, over‑the‑air updates, and remote monitoring/telemetry.
• Prior experience running hybrid/global teams and follow‑the‑sun support models; familiarity with chaos/resiliency testing.