Platform Engineer

Key Responsibilities :

- Define and drive the architecture of large-scale, fault-tolerant distributed systems across multi-cloud environments.

- Design, build, and operate highly available and scalable platforms across AWS, Google Cloud, and/or Azure.

- Architect and manage enterprise-scale Kubernetes platforms, including complex multi-tenant environments.

- Establish cloud-native architecture standards, platform engineering practices, and infrastructure strategies.

- Drive large-scale, cross-team technical initiatives from architecture and design through production deployment.

- Influence technical direction across engineering teams without direct reporting authority.

- Develop multi-cloud and cross-cloud strategies covering scalability, reliability, security, cost optimization, and operational resilience.

- Identify emerging technologies and translate them into practical technology strategies and platform capabilities.

- Lead organizational AI platform strategy and GenAI adoption initiatives.

- Design intelligent platforms incorporating autonomous and predictive capabilities.

- Drive development and adoption of AI-powered engineering solutions such as developer agents, code-review agents, testing agents, and SRE/operations agents.

- Establish platform capabilities that improve developer productivity, system reliability, automation, and operational efficiency.

- Define technical roadmaps aligned with long-term business and technology objectives.

- Mentor senior engineers and architects and promote engineering best practices.

- Communicate complex technical concepts effectively to engineering teams, architects, and executive stakeholders.

Technical Expertise :

- Distributed Systems & Large-Scale Architecture

- AWS / Google Cloud / Azure

- Multi-Cloud & Cross-Cloud Architecture

- Kubernetes & Cloud-Native Platforms

- Containerization & Platform Engineering

- High Availability & Fault-Tolerant Systems

- Infrastructure & Platform Automation

- Generative AI / LLMs / AI Platforms

- AI Agents & Autonomous Engineering

- Developer Productivity Platforms

- SRE & Predictive Operations

- Cloud Security, Reliability & Scalability

Required Candidate Profile :

- 10+ years of experience in software and platform engineering.

- Significant experience in Staff Engineer, Principal Engineer, Platform Architect, or similar technical leadership roles.

- Deep expertise in designing, building, and operating large-scale distributed systems.

- Strong experience architecting multi-cloud platforms across AWS and Google Cloud and/or Azure.

- Expert-level knowledge of Kubernetes and the broader cloud-native ecosystem.

- Experience architecting and operating Kubernetes platforms at enterprise scale, including multi-tenant environments.

- Proven ability to lead complex, cross-functional technical initiatives from conception through production.

- Strong understanding of cloud infrastructure, scalability, resilience, security, and operational excellence.

- Experience defining multi-cloud architecture and infrastructure strategies.

- Strong understanding of Generative AI and experience driving AI platform or GenAI adoption initiatives.

- Excellent communication, stakeholder management, technical leadership, and influencing skills.

- Strategic mindset with the ability to anticipate future technology challenges and translate them into actionable technical roadmaps.

Preferred Candidate :

- Experience building enterprise-scale internal developer platforms or cloud platforms.

- Experience implementing AI-powered engineering and SRE solutions.

- Strong background in platform reliability, automation, observability, and DevOps/SRE.

- Experience working across multiple engineering teams and influencing architecture decisions at an organizational level.

Skills

Kubernetes, Cloud, AWS, Google Cloud Platform, Azure, Distributed Systems, Cloud Infrastructure, Cloud Services, Site Reliability