Lead Product Engineer - Microservices Architecture

Description :

Key Responsibilities :

Product & Platform Ownership :

- Partner closely with Product Management to shape product vision, technical roadmap, and platform strategy.

- Drive development of reusable, multi-tenant, and configurable platforms rather than one-off

solutions.

- Ensure products are secure, scalable, performant, and enterprise-ready.

Architecture & Technical Leadership :

- Make high-quality technical decisions around data architecture, APIs, integrations, and system scalability.

- Guide teams on best practices in design patterns, code quality, testing, and performance optimization.

- Review and influence design across backend, data engineering, AI/ML integration, and cloud infrastructure.

Engineering Execution :

- Drive predictable execution using Agile / Scrum / Kanban methodologies.

- Balance speed vs stability, ensuring rapid innovation without compromising reliability.

- Own engineering KPIs including delivery velocity, defect rates, uptime, and technical debt.

People Leadership & Team Building :

- Hire, mentor, and develop high-performing product engineering teams and managers.

- Establish strong engineering rituals : design reviews, retrospectives, tech talks, and mentoring.

- Own performance management, career growth frameworks, and succession planning.

- Foster a culture of ownership, craftsmanship, and product thinking.

DevOps, Cloud & Reliability :

- Own cloud infrastructure and DevOps strategy across AWS / Azure / GCP.

- Ensure strong CI/CD pipelines, observability, monitoring, and incident management.

- Drive cloud cost optimization while supporting product scalability and availability.

Stakeholder & Leadership Collaboration :

- Act as a key engineering voice in leadership discussions and product reviews.

- Collaborate with Sales, Customer Success, and Client teams to support product adoption and

enterprise rollouts.

- Translate customer feedback into product and platform improvements.

Core Requirements (Must Have) :

- Must have strong experience in Python development

- Must have solid knowledge of design patterns and clean coding practices

- Must have experience in system architecture & scalable system design

- Must understand and follow SDLC processes

- Must know microservices architecture (design, communication, scaling)

- Must have experience with AI integrations (LLMs, APIs, automation, AI-driven features)

- Must be aware of current AI trends and practical implementation in products

- Must have experience in leading large teams (30+ engineers)

- Must be capable of technical planning, estimation, and roadmap execution

- Must be able to take end-to-end ownership of product delivery

- Must have hands-on experience with cloud platforms (AWS / Azure) and on-premise / hybrid infrastructure

Domain & Platform Expectations :

- Must have experience in building web-based platforms

- Must have exposure to analytics platforms / dashboards / data-driven systems

- Experience in financial platforms / fintech systems will be an added advantage

Additional Skills (Good to Have) :

- Experience with Docker, Kubernetes, and containerized deployments

- Familiarity with CI/CD pipelines and DevOps practices

- Familiarity with big data (spark will be good to have)

- Understanding of performance optimization and scalability challenges

- Strong debugging and problem-solving skills

Leadership Expectations :

- Ability to mentor and scale engineering teams

- Strong ownership and decision-making mindset

- Ability to collaborate with product, business, and stakeholders

- Strong focus on delivery, quality, and timelines