Teams at Tempo Software

Build and ship production AI systems for enterprise portfolio and planning workflows. Develop anomaly and signal detection, LLM-powered insight synthesis, natural-language planning rule translation, evaluation frameworks, and MCP tools. Partner with external AI providers initially, then establish internal standards for prompt design, model selection, agent architecture, reliability, and evaluation. Collaborate closely with product, design, and domain engineering teams.

Build and maintain Tempo’s cloud platform infrastructure, shared libraries, cross-service APIs, and core platform services. Drive architecture and technical standards, improve developer tooling and experience, ensure reliability and security, and collaborate across teams. The role requires expertise in Java or Kotlin, distributed systems, Kubernetes, Docker, AWS, databases, messaging, observability, and multiple programming languages. It also includes mentoring engineers, reviewing code, and leading initiatives spanning multiple teams.

Develop and maintain scalable Atlassian cloud products using Kotlin, Java, and server-side technologies. Responsibilities include writing clean, testable code, creating unit and integration tests, conducting code reviews, designing APIs, optimizing performance, and collaborating with product, design, QA, and technical writing teams. The role requires building distributed systems using Kubernetes and AWS, working with SQL and NoSQL databases, and solving complex customer and product challenges autonomously in a remote environment.