Product Engineer

Inspirisys; Chennai District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Inspirisys seeks a senior engineering leader to co-own product and technical strategy, shaping what gets built and when to refactor, rebuild, or ship for customer value. You will balance rapid delivery with a scalable platform, guiding architecture decisions and multi-tenant design.

You will lead the engineering org from ICs to managers, establish rituals, drive DevOps, reliability, security, and cost discipline, and partner with product and sales to align roadmaps with customer outcomes and

Qualifications

• Deep hands-on software engineering in a modern stack.
• Experience with AI/LLM systems and vector DBs.
• Cloud architecture and microservices expertise.

Responsibilities

• Co-own product strategy and shape what gets built, not just execute a roadmap.
• Drive technical architecture for scalable, multi-tenant product and decide when to refactor or ship.
• Lead and scale the engineering org, set up engineering rituals and incident response.
• Own DevOps, CI/CD, environment management, and infrastructure-as-code.
• Define disaster recovery, site reliability, and cost management strategies.
• Be an external technical evangelist and partner with stakeholders on roadmap trade-offs.

Skills

Software engineering depth

AI/LLM systems

Cloud architecture

Microservices

Databases & data stores

DevOps & CI/CD

Security & compliance

Tools

Kubernetes

Kafka

EventBridge/PubSub

Job description

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 fast 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.