Lead Software Engineer

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.