Lead Software Engineer - Full Stack

Job Responsibilities

• Design, build, and run secure, scalable backend services and APIs using Python with Django and/or FastAPI
• Apply responsible AI-assisted development workflows to accelerate delivery while maintaining strong engineering discipline
• Automate network services infrastructure and network provisioning workflows, including API integrations and (where needed) React-based user interface components
• Lead system design efforts and produce clear architecture and design artifacts to support high-quality technical decisions
• Improve operational stability by eliminating recurring issues through automation, enhanced observability, and resilient design
• Review code, coach engineers, and raise standards across testing, continuous integration/continuous delivery, security, and reliability
• Build and maintain high-quality delivery pipelines with automated tests, meaningful coverage, and pragmatic quality gates
• Partner with internal teams and evaluate external vendors when it accelerates outcomes and aligns to the target architecture
• Contribute to an inclusive team culture that values collaboration, accountability, and continuous improvement
• 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
• 5+ years of hands-on software engineering experience with ownership of production systems
• Strong Python development skills, including writing well-tested, maintainable code
• Experience building and maintaining APIs using Django and/or FastAPI (or similar frameworks)
• Strong system design skills across distributed services, data stores (relational and NoSQL), and messaging systems (for example, RabbitMQ)
• Practical experience running services in the cloud, including Amazon Web Services patterns and services
• Solid understanding of secure software development lifecycle practices, continuous integration/continuous delivery, and operational excellence (monitoring, alerting, incident response, resiliency)
• Demonstrated ability to lead through influence via code reviews, technical decision-making, and mentoring within a team
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test strategy 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

• Infrastructure as Code experience (Terraform preferred)
• Experience with content delivery network, web application firewall, and edge security providers (for example, Cloudflare or Akamai)
• Familiarity with modern front-end development using React
• Experience using AI-assisted coding and design tools in production environments with appropriate security and quality controls
• Experience building in regulated environments and delivering to strong risk and security controls