Technologies we use

Backend: Kotlin, TypeScript/Node.js
Cloud experience (AWS preferred)
Kubernetes, Ambassador, Helm
Github Actions (or other CI experience i.e CircleCI, Jenkins, TravisCI)
Continuous Delivery (ArgoCD or equivalent)
Software and Shared Library development experience
All major AI tools and infrastructure

Your day-to-day

Design, build, and maintain reusable developer tooling (CLI tools, NPM and Kotlin libraries) shared across all engineering teams
Enable a consistent and friction-free local development experience for engineers
Build and maintain robust CI/CD pipelines (GitHub Actions, ArgoCD) that provide fast, reliable feedback loops
Identify and eliminate bottlenecks in the developer workflow through proactive engagement with engineering teams
Contribute to and enforce standards for code reusability and maintainability across packages and libraries
Integrate AI tooling (LLMs, agentic workflows, code generation) into CI/CD pipelines and developer workflows to accelerate delivery
Build AI-assisted automation for test generation, code review, and performance anomaly detection
Evaluate and adopt emerging AI developer tools (e.g., Claude, Cursor, custom agents) and drive their adoption across engineering
Design intelligent observability solutions using AI to surface actionable signals from Datadog and other monitoring platforms
Partner with cross-functional teams to embed AI capabilities into the full software delivery lifecycle
Partner with architects, developers, and QA teams to design and execute a comprehensive performance testing strategy
Validate performance, stability, scalability, and reliability across web and mobile product surfaces
Build and maintain a scalable performance testing environment supporting both functional and load scenarios
Perform root-cause analysis on performance bottlenecks and provide clear recommendations
Coordinate performance testing across internal teams and external resources, ensuring complete test coverage for each release
Communicate testing status and performance insights to engineering leadership, translating data into actionable recommendations

What you'll bring to the team

5+ years of experience in software engineering, with a focus on developer tooling, platform engineering, or DevOps
You care deeply about developer productivity and treat your colleagues as your customers
You are a strong systems thinker who can navigate both platform-level architecture and the day-to-day pain points of individual engineers
You are excited by AI and actively look for ways to apply it to real engineering problems, not just as a buzzword
You communicate clearly across engineering, QA, and leadership translating technical findings into business-relevant insights
You are comfortable working in a cross-geography setup and can lead and mentor peers in a distributed environment
You bring a quality-first mindset and champion best practices in testing, observability, and release confidence