#136105 - Technical Lead - Full-Stack Production Systems

About this role

Key Responsibilities Analyze, triage, and resolve production issues affecting live platform activity. Debug issues across interconnected backend, frontend, data, and integration systems. Partner with client-facing and go-to-market teams to prioritize and address support requests. Drive timely issue resolution against established service-level expectations. Monitor production systems and respond quickly to alerts and performance degradation.

Support architecture changes and system integrations that affect platform behavior. Maintain application logic as dependencies and upstream systems change. Independently own code changes from implementation through merge, deployment, and production validation. Lead, shepherd, onboard, and coordinate other engineers while remaining hands-on with delivery. Manage ambiguity and prioritize work strategically across concurrent projects.

Must-Have Skills 7+ years of professional software engineering experience. Strong hands-on Java and Spring Boot experience as a primary backend stack. Hands-on Django and Python experience as a secondary backend stack. Production frontend-development experience with React . Hands-on Kafka experience. Hands-on GraphQL experience. Strong experience with SQL or MongoDB . Build and deployment experience, including personally merging and deploying production code.

Experience with at least one of Dagster, Data Lakes, or Amazon Athena . Demonstrated ability to ramp up quickly and own work across multiple concurrent projects. High ownership, initiative, and autonomy without requiring hand-holding. Technical leadership experience that includes leading, shepherding, and onboarding engineers. Demonstrated experience overseeing or coordinating the work of others. Clear and concise communication.

Ability to manage ambiguity and make sound prioritization decisions. Strategic thinking and strong production problem-solving skills. Ability to use data and system signals to troubleshoot production issues. Nice-to-Have Skills Product-management experience partnering with go-to-market teams and engineers on prioritization. Experience with AI-assisted development tools such as Claude, Cursor, or Windsurf . Required Tools & Platforms Java and Spring Boot Django and Python React Kafka GraphQL SQL or MongoDB Build and deployment tooling At least one of: Dagster Data Lakes Amazon Athena Location, Time & Engagement Candidates must be based in an eligible LATAM location.