PythonKafkaGCP Skill

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 environment rather than Azure or AWS.

• 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.