Lead Product Engineer - Pharma
BengaluruOn-siteStaff/Principal
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The post's words + ASAI's dataOn-site in Bengaluru.
OK with that?7–11 years asked. Full Stack Engineer roles in Bengaluru usually ask 3-6; a quarter ask 7+.
You have them?No pay range in the post.
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The job post
477 words · from MathCo's careers siteJob Description
We are looking for an experienced Lead Product Engineer with 7–11 years of software engineering experience to lead the design and development of scalable, secure, and high-performance enterprise applications.
The ideal candidate should bring strong full-stack engineering expertise across Python/Node.js, REST APIs, microservices, modern JavaScript frameworks, SQL/NoSQL databases, cloud platforms, Docker, Kubernetes, and CI/CD. The role will also require strong engineering design capabilities, hands-on development, technical leadership, code reviews, and ownership across the product development lifecycle.
Requirements for the Role:-
- 7–11 years of experience in software/product engineering with strong hands-on development expertise.
- Strong experience building scalable and secure web applications, REST APIs, and microservices.
- Proficiency in backend technologies such as Python and/or Node.js; exposure to Golang or Rust is an advantage.
- Strong front-end development experience with HTML, CSS, JavaScript ES6/ES7, and frameworks such as React, Angular, or Vue.js.
- Strong understanding of OOAD, SOLID principles, design patterns, clean coding, and application architecture.
- Experience designing application databases, including ER diagrams, data flows, and API interactions.
- Strong knowledge of relational databases such as PostgreSQL/MySQL and NoSQL databases such as MongoDB.
- Hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
- Experience with cloud infrastructure and monitoring tools such as Terraform and CloudWatch.
- Strong working knowledge of GitHub/Azure DevOps, Docker, CI/CD pipelines, and Kubernetes.
- Experience integrating authentication and authorization mechanisms such as OAuth2, OIDC, and SAML.
- Good knowledge of Agile/Scrum engineering practices and tools such as JIRA/Azure DevOps.
- Strong problem-solving, debugging, communication, and stakeholder-management skills.
- Ability to manage multiple engineering priorities in a fast-paced product environment.
- Experience using AI-assisted development tools such as GitHub Copilot or Claude to improve development productivity and code quality is desirable.
Roles & Responsibilities
- Lead the technical design and development of scalable enterprise applications and product capabilities.
- Own the design and implementation of REST APIs, backend services, microservices, and application integrations.
- Drive architecture and design decisions with an emphasis on scalability, security, performance, maintainability, and reliability.
- Build and guide the development of responsive, reusable, and maintainable front-end components.
- Lead application database design and ensure appropriate data models and integration patterns.
- Provide technical leadership and engineering guidance to developers while remaining hands-on with development.
- Drive code quality through design reviews, code reviews, coding standards, and engineering best practices.
- Collaborate closely with Product Managers, designers, and engineering stakeholders to translate business requirements into technical solutions.
- Participate in the complete product lifecycle, including architecture, development, testing, deployment, monitoring, and maintenance.
- Optimize applications and services for performance and scalability.
- Establish and improve automated testing, unit testing, integration testing, and deployment practices.
- Drive effective adoption of CI/CD, containerization, Kubernetes, and cloud-native engineering practices.
- Identify technical risks, dependencies, and engineering bottlenecks and drive them toward resolution.
- Mentor engineers and help strengthen engineering practices across the team.
- Champion AI-assisted software-development workflows using tools such as Claude and GitHub Copilot, including reusable development skills and agents where relevant.
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