Senior Software Engineer

Who you are

• We're looking for a self-starter who finds problems, frames them, and fixes them, and who makes the engineers around them better in the process
• 5–8 years of software engineering experience, with meaningful time in distributed or high-scale backend systems
• Strong proficiency in at least one modern, high-performance language; TypeScript and/or Golang strongly preferred
• Solid understanding of distributed systems concepts: consistency, availability, fault tolerance, event-driven architecture, and service orchestration
• Experience building and maintaining microservices in production at meaningful scale; async messaging (Kafka, Pub/Sub) or workflow engines a strong plus
• Comfortable with CI/CD pipelines, containerization (Docker, Kubernetes), cloud infrastructure (AWS, GCP, or Azure), and debugging production issues using monitoring and distributed tracing
• Active user of AI coding tools (Cursor, Copilot, or equivalent) with real, demonstrated productivity gains
• B.S. or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience; AdTech, programmatic, or real-time systems experience a plus

What the job involves

• The Kargo Workflow Platform powers our entire AdTech engine, and we're modernizing it
• As a Senior Engineer on the team, you'll design and build distributed services that are reliable, observable, and built to last — owning projects end-to-end and partnering across engineering, product, and data
• Design and build distributed services for the Workflow Platform modernization, thinking about failure modes, retry logic, and observability from the start
• Own significant projects end-to-end — from design through deployment and post-launch optimization — with minimal hand-holding
• Improve platform health through latency reductions, fault tolerance, and observability enhancements with measurable outcomes
• Use AI-assisted development tools fluently to ship faster, and actively share what's working with teammates
• Raise the quality bar through code reviews and design discussions, contributing well-reasoned opinions
• Partner with Product, Data, and cross-functional stakeholders, translating fluently between technical and non-technical
• Mentor less experienced engineers through pairing, documentation, and patient, constructive guidance