Python/Kafka/GCP Skills: Look for resources with Python, Kafka, Google Cloud Platform (BigQuery), and production handling skills

GCP and BigQuery Requirements: Uses Google Cloud Platform, specifically BigQuery, and the candidate should be comfortable handling SQL and GBQ queries, as well as working within the GCP setting rather than Azure or AWS.

Roles & Responsibilities

- Should be able to write code in any one of the high PL (golang, python, java, etc)
- Understand Platform Engineering concepts, focussed more Dev Productivity or tooling space
- Has atleast a couple of end-to-end project experience building and scaling an internal dev application for a decent sized org (100-200 developers)
- Product companies (Preferred)
- Instrument pipelines with telemetry and dashboards to measure speed, reliability, and cost.
- Reduce CI latency through remote execution, caching, and parallelization.




- Build tools and workflows (CLI utilities, IDE plugins, GitHub bots) that improve day-to-day developer experience.
- Automate debugging of flaky tests and CI failures.
- Simplify onboarding and local dev environments.
- Enable engineers to integrate AI-powered coding assistants (e.g. GitHub Copilot, Cursor, Claude) into daily workflows.
- Build agentic tooling that automates CI failure analysis, PR triage, and code review support.
- Collect usage insights, build dashboards, and iterate on adoption strategies to maximize developer ROI from AI.
- You'll have a direct impact on the speed, reliability, and cost of software delivery.
- You'll be at the frontier of AI adoption in engineering teams, shaping how humans and AI collaborate in development.

📌 PythonKafkaGCP Skill (Bengaluru)
🏢 InfoVision
📍 Bengaluru