Product &

- Technical Strategy:

- Co-own product strategy with Product and Design shape what gets built, not just execute a handed-down roadmap.

- Drive the technical architecture for a scalable, multi-tenant product, with a clear point of view on when to refactor, rebuild, or ship the pragmatic fix.

- Own the balance between shipping rapid for product-market fit and building a platform that won't collapse under scale.

AI &

- Innovation:

- Champion AI adoption on two fronts: (1) embedding AI/ML capabilities into the product where they create genuine customer value, and (2) using AI-assisted development tools (code gen, testing, code review, observability) to raise team velocity and quality.

People &

- Org:

- Lead and scale the engineering org (ICs, tech leads, managers) as the product and company grow, hiring ahead of need without over-hiring.

- Set up (or mature) engineering rituals: sprint planning, architecture review, incident response, on-call, postmortems.

DevOps, Infrastructure &

- Reliability:

- Own DevOps and infrastructure strategy — CI/CD pipelines, deployment automation, environment management (dev/staging/prod), and infrastructure-as-code.

- Drive site reliability practices: uptime/SLA targets, on-call rotations, incident response, root-cause analysis, and blameless postmortems.

- Own cloud cost management and infrastructure scaling decisions — right-sizing spend against growth stage.

- Oversee the observability stack — logging, monitoring, alerting, tracing — so issues are caught before customers feel them.

- Define disaster recovery and business continuity plans for production systems.

Security &

- Compliance:

- Set and enforce security practices across the SDLC: dependency management, secrets handling,



access control, vulnerability scanning, and compliance needs (SOC 2 / ISO 27001 / GDPR as applicable).

Business &

- Stakeholders:

- Own engineering metrics that matter to a product company — deployment frequency, cycle time, defect escape rate, MTTR — and their connection to customer-facing outcomes (retention, NPS, uptime).

- Partner closely with Sales/CS/Support on customer escalations, technical due diligence for enterprise deals, and roadmap trade-offs.

- Manage engineering budget, tooling spend, and vendor/build-vs-buy decisions.

- Be a visible technical leader externally — conference talks, blog posts, or community presence that supports hiring and company brand (as relevant).

Core Technical Skills:

- Strong hands-on background in software engineering, with real depth in at least one modern stack (languages, frameworks, cloud).

- Experience with AI/LLM systems, RAG, vector DBs, and agentic frameworks.

- Cloud architecture (AWS/Azure/GCP) — compute, networking, security, serverless.

- Microservices, API gateways, event streaming (Kafka/EventBridge/PubSub).

- Databases: SQL, NoSQL, graph, vector.

- DevOps: CI/CD, containers, Kubernetes.

- Security: OAuth2, JWT, SSO, Zero Trust, data governance.

Architectural &

- Leadership Skills:

- Enterprise architecture frameworks (TOGAF, Zachman).

- Domain-driven design (DDD), event-driven architecture (EDA).

- High availability, scalability, resilience, disaster recovery.

- Cost modelling and performance engineering.

- A coaching mindset — measures success by the growth of the people around them as much as the systems they build.

- Comfortable as an internal evangelist and an external presenter/orator for the company's technical work.

📌 Product Development Engineer (Chennai)
🏢 Inspirisys
📍 Chennai