Principal Software Engineer – Platform

This is a fully remote position, open to applicants in India.

📋 Description

• Design and develop platform services, APIs, infrastructure components, runtime systems, and ingestion frameworks on an enterprise scale.

• Architect the context store to evolve lakehouse infrastructure into AI-ready systems equipped with structured, unstructured, vector, and graph capabilities.

• Address multi-tenant isolation and scaling challenges within enterprise SaaS environments.

• Create data contracts for ingestion, validation, processing, routing, storage, and serving across diverse systems.

• Manage shared infrastructure, including lakehouse, vector stores, graph databases, and OLTP systems.

• Promote technical standards through RFCs, architecture reviews, and comprehensive documentation.

• Mentor senior engineers and influence architectural decisions across various teams.

• Produce production code utilizing AI-assisted development tools such as Claude Code and Cursor.

• Troubleshoot distributed systems issues involving Kubernetes, workflow orchestration, and microservices.

• Define the technical direction, lead multi-quarter initiatives, and pioneer AI-native development methodologies.

⛳️ Requirements

• Over 10 years of experience in platform engineering, infrastructure, or backend systems within a SaaS organization.

• Proven experience in constructing enterprise-scale distributed systems.

• In-depth knowledge of multi-tenant architectures and strategies for tenant isolation.

• Strong skills in Kubernetes, containerization, and cloud infrastructure across AWS, GCP, or Azure.

• Practical experience with distributed systems patterns, including service mesh, event-driven architecture, and orchestration.

• History of successfully driving multi-quarter technical initiatives from inception to production at scale.

• Experience in designing contract-driven or schema-first data platforms.

• Familiarity with Temporal or similar workflow orchestration tools.

• Experience with data quality frameworks, observability systems, and cost attribution on a large scale.

• Background in supporting enterprise workloads with stringent compliance requirements.

• Proficiency in CI/CD pipeline design and GitOps practices.

• Familiarity with lakehouse technologies such as Iceberg or Polaris, vector stores, graph databases, and OLTP systems.

• Capability to embrace AI-native development and utilize AI-assisted development tools.

• Ability to influence without formal authority and communicate asynchronously.

🏝️ Benefits

• Competitive base salary.

• Performance-based variable compensation.

• Impact-driven equity opportunities for most positions.

• Comprehensive health, dental, vision, and mental health benefits from Day 1.

• Flexible health stipends.

• Flexible time off along with modern leave policies.

• Rapid growth and learning opportunities.

• Global, remote-first, and high-trust work environment.

• Flexibility in how you choose to work.