Principal Software Engineer - Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Software Engineer - Platform based in India.

This is a high-impact engineering role focused on architecting and scaling foundational platform infrastructure for enterprise <AI.You> will design distributed systems, platform services, APIs, runtime components, and ingestion frameworks capable of supporting billions of assets and large-scale user workloads.The role sits at the intersection of data infrastructure, AI applications, cloud platforms, and enterprise <SaaS.You> will tackle complex challenges around multi-tenancy, tenant isolation, data contracts, reliability, scalability, and heterogeneous data <systems.As> a technical leader, you will shape architecture through RFCs, design reviews, engineering standards, and multi-quarter <initiatives.You> will also mentor senior engineers and influence technical decisions across teams while remaining hands-on with production systems and AI-assisted development.This opportunity is ideal for a highly autonomous engineer who thrives on ambiguity and wants to help define the infrastructure powering the next generation of AI-enabled products.

Accountabilities

• Design and build enterprise-scale platform services, including APIs, infrastructure components, runtime systems, and data ingestion frameworks.
• Architect context-storage capabilities that bring together structured, unstructured, vector, and graph data for AI-ready applications and systems.
• Solve complex multi-tenant architecture, tenant isolation, scalability, and reliability challenges within enterprise SaaS environments.
• Design and establish data contracts governing ingestion, validation, processing, routing, storage, and serving across heterogeneous systems.
• Own and evolve critical shared infrastructure spanning lakehouse technologies, vector stores, graph databases, and OLTP systems.
• Drive technical standards and architectural direction through RFCs, architecture reviews, technical documentation, and engineering best practices.
• Lead complex, multi-quarter technical initiatives from initial concept and architecture through production deployment and scale.
• Debug and resolve distributed systems issues across Kubernetes, workflow orchestration platforms, microservices, and cloud infrastructure.
• Mentor senior engineers and act as a technical force multiplier across engineering teams.
• Influence architecture and engineering decisions across teams through strong technical judgment and effective communication.
• Adopt and advance AI-native engineering practices, including the effective use of AI-assisted development tools such as Claude Code and Cursor.
• Continuously identify opportunities to improve platform reliability, scalability, developer experience, and operational efficiency.

Requirements

• 10+ years of experience in platform engineering, infrastructure engineering, backend systems, or related disciplines within SaaS environments.
• Proven experience designing and building enterprise-scale distributed systems and highly available production platforms.
• Deep expertise in multi-tenant architectures and tenant isolation strategies.
• Strong hands-on knowledge of Kubernetes, containerization, and cloud infrastructure across AWS, GCP, or Azure.
• Strong understanding of distributed systems patterns, including service meshes, event-driven architectures, and workflow orchestration.
• Demonstrated ability to drive multi-quarter technical initiatives from concept through production deployment at scale.
• Experience designing contract-driven or schema-first data platforms is highly valuable.
• Familiarity with Temporal or comparable workflow orchestration technologies is advantageous.
• Experience with data quality frameworks, observability systems, and cost attribution at scale is a plus.
• Experience supporting enterprise workloads subject to strict security, privacy, or compliance requirements.
• Knowledge of CI/CD pipeline architecture and GitOps practices is beneficial.
• Strong ability to write and maintain production-quality code while leveraging modern AI-assisted development tools.
• High-agency mindset with the ability to take ownership of ambiguous and technically complex problems.
• Strong asynchronous communication skills and the ability to influence technical decisions without relying on formal authority.
• Ability to adapt to rapidly changing priorities and operate effectively in a high-growth, scale-up environment.
• Demonstrated mentoring skills and a commitment to raising engineering standards across teams.

Benefits

• Competitive compensation with strong base salary, performance-based variable pay, and impact-driven equity for eligible roles.
• Health, dental, vision, and mental health benefits, with flexible health support depending on location.
• Flexible time off and modern leave policies designed to support personal well-being and family needs.
• Remote-first flexibility within a global, high-trust working environment.
• Opportunity to collaborate with a diverse engineering organization spanning 15+ countries.
• AI-native culture with access to modern development practices and AI-assisted engineering tools.
• Accelerated professional growth through complex technical challenges, cutting-edge technologies, and experienced engineering teams.
• High level of autonomy and ownership over how you work and deliver impact.
• Opportunity to shape foundational infrastructure supporting enterprise AI and next-generation data applications.