Staff Platform Engineer

Job Title: Staff Platform Engineer

Location: Bengaluru (Hybrid)
Experience: 8-10 Years
Job Type: Full-Time

Job Summary

We are looking for an experienced Staff Platform Engineer to lead enterprise platform engineering, cloud-native architecture, SDLC automation, and AI-driven engineering initiatives. The role involves defining platform strategy, building reusable platform capabilities, improving developer experience, and driving AI-powered automation across engineering teams.

Key Responsibilities

• Define platform engineering strategy, architecture, roadmaps, and enterprise standards.
• Design and scale platform products, shared services, reusable frameworks, APIs, and self-service capabilities.
• Drive SDLC automation, CI/CD, DevOps, cloud modernization, and developer productivity initiatives.
• Lead AI-enabled engineering initiatives using AI agents, agentic workflows, LLMs, RAG, and MCP.
• Improve developer experience through automation, reusable templates, and self-service platforms.
• Drive platform reliability, observability, SRE practices, and operational excellence.
• Establish security, governance, compliance, and automated engineering controls.
• Collaborate with engineering, architecture, security, and technology leadership teams to drive enterprise-wide adoption.

Required Skills

• Enterprise Platform Engineering and Architecture
• Cloud-Native Architecture and Cloud Modernization
• DevOps, CI/CD, SDLC Automation, and Infrastructure as Code (IaC)
• AI-Powered Engineering, AI Agents, and Agentic Workflows
• LLM Workflows, RAG, MCP, and AI Integration
• Developer Experience (DevEx) and Self-Service Platforms
• SRE, Monitoring, Observability, and Platform Governance
• Technical Leadership and Cross-Team Collaboration

Mandatory Qualifications

• 810 years of relevant experience in Platform Engineering, Cloud Engineering, Software Engineering, DevOps, or Automation Engineering.
• Experience designing and scaling enterprise platforms, shared services, and automation solutions.
• Demonstrated experience leading large-scale technical initiatives across multiple teams.
• At least one cloud certification: AWS Cloud Practitioner, Microsoft Azure Fundamentals, or Google Cloud Digital Leader.
• Bachelor's degree in Computer Science, IT, Engineering, Mathematics, or a related field, or equivalent relevant experience.

Preferred Qualifications

• Experience in enterprise platform transformation, cloud modernization, or AI-enabled engineering.
• Experience with AI agents, agent orchestration, LLMs, RAG, and MCP.
• Relevant certifications in cloud, DevOps, platform engineering, AI/ML, or automation.