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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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