Requirements
• Around 8+ years of experience building and operating production systems, with continued responsibility after launch.
• Deep hands-on experience with distributed systems, including service boundaries, queues, asynchronous processing, event-driven architectures, retries, idempotency, concurrency, consistency, and failure recovery.
• Deep experience with relational data modelling and PostgreSQL, including indexing, partitioning, transactions, query optimisation, migrations, and multi-tenant data isolation.
• Experience scaling systems through horizontal scaling, caching, workload partitioning, rate limiting, backpressure, and performance optimisation.
• Experience designing for high availability, fault tolerance, observability, disaster recovery, recovery point and recovery time objectives, and safe reprocessing.
• Hands-on knowledge of authentication, authorisation, role-based access control, tenant isolation, encryption, auditability, and enterprise security requirements.
• Experience architecting production AI/LLM components, including model abstraction, asynchronous inference, evaluation, versioning, cost controls, and traceability.
• Experience designing systems with guarantees around immutability, traceability, and reproducibility, with clear reasoning behind the trade-offs.
• Ability to make and defend architectural decisions involving cost, complexity, and operational risk.
• Ability to challenge a founder or Head of Engineering through written, evidence-based reasoning.
• Continue to write production code regularly. The stack includes TypeScript/Node.js, Python, PostgreSQL with pgvector, OpenSearch, Redis, GCP, Kubernetes/GKE, Docker, and AI/LLM infrastructure. Experience with every technology is not expected.



Robust fundamentals in distributed systems, databases, cloud architecture, and production engineering matter more than a particular framework. Nice to have:
• Experience in regulated or externally audited environments.
• Experience with cryptographic integrity, including signing, chaining, and verification.
• Experience with AI/LLM components in the critical path.
• Experience handling technical escalations for enterprise customers.
• A previous Staff or Principal Engineer role at a company of a similar stage. Responsibilities
• Own core architecture for tenant isolation, data models, distributed processing, correctness, and traceability.
• Design systems for high-volume ingestion, processing, search, analytics, and AI workloads.
• Own decisions around service boundaries, APIs, storage, caching, queues, and asynchronous processing.
• Co-own architecture decision records, ensuring significant choices have written reasoning and more than one signer.
• Set technical standards through design reviews and practical examples.
• Handle escalations involving production correctness, performance, reliability, and architecture.
• Work with Site Reliability Engineers on availability, recovery, observability, and isolation guarantees.
• Help tech leads and senior engineers develop their technical judgment.
• Prototype difficult technical problems before handing them to a team.
• Work alongside the Head of Engineering, owning technical depth, architecture, and correctness while they own direction and the organisation. Job Details Bengaluru, in office. Interview Process
• Initial Screening
• System Design and Architecture
• Hands-on Technical Discussion
• Founder and Head of Engineering Discussion

📌 Principal Engineer (Bengaluru)
🏢 ClanX
📍 Bengaluru