To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Business software has become a blocker instead of ways to get work done.
Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P; Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations.
We are seeking a highly experienced Principal Engineer to lead the design and evolution of the enterprise-scale platform architecture that powers Freshworks' multi-tier SaaS products. This role will define the architecture strategy for a major platform domain, drive modernization initiatives, and establish best practices across service design, reliability, engineering quality, and cost.
The ideal candidate combines deep technical expertise in distributed systems, multi-tenant SaaS architecture, microservices, event-driven design, and large-scale production operations with strong leadership and stakeholder management capabilities — and remains genuinely hands-on, writing production code and leading deep debugging when it matters.
Design scalable, secure, and cost-efficient architectures supporting high-throughput, low-latency, multi-tenant workloads.
Platform Engineering

Architect and build cloud-native services and APIs that scale with global growth.
Design service decomposition,



API contracts, messaging and event-driven flows, caching strategies, and database-layer design.
Reliability, Performance & Operations

Drive platform reliability, availability, performance optimization, and observability.
Take ownership of complex production issues in distributed SaaS environments, leading deep root-cause analysis and implementing permanent preventive safeguards.
Define SLOs, failure modes, resilience patterns, and capacity planning for the systems you own.
Engineering Excellence & Quality

Write clean, maintainable, high-performance production code and build proof-of-concepts that settle architectural questions.
Establish rigorous engineering standards through code reviews, automated testing, and CI/CD integration.
Ensure platform designs and team practices align with information security standards and regulatory requirements.
Design for tenant isolation, access control, auditability, and data residency from the outset.
Provide architectural guidance across multiple engineering teams.
Mentor senior and staff engineers, raising the bar through reference implementations and sponsorship rather than authority.
Influence engineering strategy and long-term technology investments; Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related discipline — or equivalent practical experience.





- 14+ years of experience in software engineering, platform engineering, or systems architecture within modern distributed SaaS environments.
- Expert-level backend engineering in Java, Python, Go, or equivalent — currently hands-on.
- Proven experience designing and operating enterprise-scale, multi-tenant SaaS platforms, with real numbers for throughput, latency, availability, and behaviour under failure.
- Robust understanding of distributed systems fundamentals: consistency and idempotency, retries and backpressure, concurrency, caching, and database design and optimization.
- Advanced production debugging skills — Linux internals, profiling, log analysis, and telemetry in distributed cloud environments.
- Experience leading cross-functional architecture initiatives in SaaS or product organizations.

Data Platform & Analytics

Batch and real-time data ingestion, transformation, and serving architectures; Lakehouse and modern data platform technologies such as Delta Lake, Iceberg, Databricks, Snowflake, and cloud-native data services.
Reusable data models, semantic layers, and curated data products enabling self-service analytics.
Data governance practice — metadata management, cataloging, lineage, and data quality frameworks.
Feature and training data architectures supporting AI/ML initiatives.
Adjacent Experience

AI-native product capabilities — RAG, agentic workflows, and LLM integration in production.
We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business.

📌 Principal Hardware Systems Engineer (Secunderabad)
🏢 FreshWorks
📍 Secunderabad