Senior Software Engineer

• 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

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 processB.S. or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience;
AdTech, programmatic, or real-time systems experience a plus Strong proficiency in at least one modern, high-performance language;
Type Script and/or Golang strongly preferred

Comfortable with CI/CD pipelines, containerization (Docker, Kubernetes), cloud infrastructure (AWS, GCP, or Azure), and debugging production issues using monitoring and distributed tracing

Solid understanding of distributed systems concepts: consistency, availability, fault tolerance, event-driven architecture, and service orchestration

Active user of AI coding tools (Cursor, Copilot, or equivalent) with real, demonstrated productivity gains5-8 years of software engineering experience, with meaningful time in distributed or high-scale backend systems

Experience building and maintaining microservices in production at meaningful scale; async messaging (Kafka, Pub/Sub) or workflow engines a strong plus