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Python Ai Eng (NCS/Job/ 3724)

For AnĀ Indian-Owned Company Focused On Digital & Big Data Tech
6 - 10 Years
Full Time
Up to 15 Days
Up to 26 LPA
1 Position(s)
Bangalore / Bengaluru
Posted 1 Day Ago

Job Skills

Job Description

Key Skills : Strong Backend Developer (Python / Go) + AWS /GCP (any cloud exp) + AI exp

Years of Exp: 6 to 10 years

Location: Open only for Bangalore (As selected candidates have to go to Rubrik Bang Office)

What will be role :

  • Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
  • Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
  • Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.
  • Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
  • Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
  • Mentor and guide engineers through architecture decisions, trade-offs, and delivery.
  • Partner with leadership to align engineering strategy with product objectives and technical roadmap.

What We’re Looking For

  • 6+ years of software engineering experience with deep backend and infrastructure focus.
  • Strong programming skills in Python and/or Go — you ship production code, not just scripts and configurations.
  • Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
  • Proven experience designing and operating distributed systems in production.
  • Cloud-native expertise across AWS and/or GCP — including compute, storage, IAM, networking, and managed services.
  • Experience with Infrastructure-as-Code tools such as Terraform and CI/CD pipelines.
  • Familiarity with applied AI tooling and patterns, including:
    • Agentic AI tools (Claude, LiteLLM)
    • AI gateways
    • Agent frameworks
    • Backend services integrating with AI systems
  • Strong system design and architectural decision-making skills.
  • Excellent communication and collaboration skills across Product, Security, and AI teams.