Job Description
You will build the tooling, CI/CD infrastructure, and reliability data pipelines that make Arintra engineers faster and our production systems safer. This is an early-career engineering role for someone who enjoys platform, DevEx, automation, and data-backed productivity work. You will own practical systems: quality gates, dashboards, developer workflows, BigQuery pipelines, post-deploy monitoring, and the infrastructure that internal AI agents run on.
The candidate will have responsibilities across the following functions:
Developer Tooling and CI/CD:
- Maintain and improve CI/CD pipelines across core repositories, including AQM, Abacus, and Harmony.
- Implement pre-commit hooks, linting, type checks, PR templates, quality gates, and pipeline observability.
- Optimise pipeline runtime, reliability, caching, and required checks so engineers get fast and trustworthy feedback.
- Build change-risk labelling and deployment communication workflows for high-risk changes
Productivity and Reliability Data:
- Build pipelines that pull GitHub, PagerDuty, CI/CD, deploy, and reliability data into BigQuery.
- Maintain dashboards for DORA metrics, PR cycle time, MTTR, change failure rate, alert volume, SLOs, and Claude/API cost.
- Build post-deploy monitoring that watches error rates, latency, and relevant quality signals after production releases.
- Maintain data schemas and scheduled refreshes used by AI agents and SRE-AI workflows.
Platform Support for Agents:
- Support webhook listeners, event routing, deployment, monitoring, and logging for internal agents.
- Partner with the AI Agents Engineer and Sta SDET to provide clean BigQuery data for incident response, anomaly detection, and regression checks.
- Document tools and runbooks so engineering teams can self-serve without depending on tribal knowledge
Requirements:
- 1-3 years of professional software engineering experience, preferably with exposure to DevEx, platform, automation, infra, or productivity tooling.
- Strong Java skills; ability to read, debug, and write production application code in Arintra’s stack.
- Working knowledge of Python for scripts, automation, data pipelines, and internal tooling.
- Hands-on GitHub Actions or similar CI/CD experience; has written or meaningfully modified CI YAML and debugged pipeline failures.
- Familiarity with Docker and containerised builds.
- 1-3 years of hands-on Software Engineering experience, preferably in a product company.
- Strong Java programming skills with solid Computer Science fundamentals (DSA, OOP, multithreading, collections, etc. ).
- Hands-on experience with CI/CD pipelines, preferably GitHub Actions, Jenkins, or equivalent.
- Experience building developer tooling, automation, internal platforms, or engineering productivity solutions.
- Working knowledge of Python for scripting, automation, or tooling.
- Experience with Docker, Git, and REST.
