SDE 1

Actively Reviewing

GTMfund

Bengaluru Full-Time 1–2 yrs exp Posted 1 day ago · Apply by Sep 14, 2026

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.

Developer Tooling And CI/CD

The candidate will have responsibilities across the following functions:

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.