Staff Software Engineer

Staff Cloud Engineer (Strong experience with GCP preffered)

Hyderabad/Pune/Bangalore (Hybrid/Flexible)

Solid product background and an educational background from Tier‑1 or Tier‑2 universities are preferred.

Our Team

This role is for a Sr/Staff Software Engineer in the Platform Services team within the Core Platform Software organization.

We build foundational platform and compute systems that enable scalable self-service experiences, AI/ML workloads, and distributed analytics workloads in the cloud. These platforms form the backbone for user-facing products and internal engineering teams, enabling reliable provisioning, execution, and lifecycle management of complex compute environments.

This is a senior individual contributor role focused on technical leadership, architecture, and building durable platform capabilities. It is not a DevOps or infrastructure operations role.

Key focus areas include:

• Platform and compute control-plane services supporting large-scale distributed systems

• Self-service and product-led platform foundations

• AI/ML and analytics execution platforms running on cloud-native compute

• Core orchestration, lifecycle, and state-management services with strong API design

What You’ll Do

• Design and build cloud-native platform and compute services used by self-service and AI-driven workloads
• Develop backend services and APIs that enable provisioning, lifecycle management, and runtime orchestration of compute environments
• Build control-plane systems for managing scale, upgrades, state, and lifecycle of distributed compute components
• Implement workflow orchestration and stateful systems for complex, multi-step platform operations
• Partner closely with product, AI/ML, and UI teams to deliver cohesive end-to-end user experiences
• Apply distributed systems fundamentals to ensure systems are scalable, reliable, and resilient
• Improve developer and consumer experience through clean APIs, well-defined contracts, and extensibility
• Debug and resolve complex issues across platform services and compute subsystems
• Contribute to technical design and architectural discussions shaping future platform capabilities

What Makes You a Qualified Candidate

• Strong experience building backend, platform, or infrastructure-aware software systems
• Proficiency in Python, Java, Go, or similar backend languages
• Experience designing and implementing distributed systems or platform services
• Solid understanding of cloud computing concepts with hands-on experience in AWS, Azure, or GCP
• Experience building service-based or RESTful APIs consumed by other teams or products
• Ability to reason about scalability, state management, fault tolerance, and failure modes
• Strong analytical and problem-solving skills with a product-oriented mindset
• Bachelor’s degree in Computer Science, Engineering, or related field with 4+ years of industry experience
• Advanced degree with 3+ years of experience

What You Will Bring

• Experience working on self-service platforms or product-led experiences
• Experience supporting AI/ML workloads or data/analytics platforms
• Familiarity with distributed compute systems
• Experience with event-driven or workflow-based architectures
• Experience building internal platforms used across multiple product teams