Lead Software Engineer - System Design

Key Responsibilities :

- Own product/feature development end-to-endfrom design to production deployment.

- Ensure features are scalable, highly available, and meet quality standards.

- Collaborate with senior engineers and architects to refine designs and drive implementation.

- Lead cloud-scale, event-driven systems using tools like Kafka, RabbitMQ, and work with knowledge.

- Build scalable microservices and design real-time data pipelines.

- Lead APIs-based inter-service communication using RESTful, GraphQL, WebSockets, etc.

- Ensure security, cloud optimization, and performance of applications by owning vulnerability fixes and cloud cost tuning.

- Execute project plans and delivery commitments with a balance of speed and stability.

- Contribute to hiring, mentoring, and nurturing technical talent; foster a high performance engineering culture.

- Define test plans, author, automate, and execute test cases to meet quality gates.

- Take proactive ownership in production troubleshooting and system reliability improvements.

- Champion best practices in software engineeringsecurity, maintainability, CI/CD, and performance.

Required Skills & Experience :

- 7 to 10+ years of professional software development experience.

- Minimum 3 years of experience in system design, architecture, and building scalable services.

- Proficiency in at least 1 programming language, 1 scripting language, and 1 frontend framework such as Java, Python, JavaScript, C#, or C++, Vue.js with TypeScript, Node.js, .NET Core.

- Demonstrated experience in interviewing, mentoring, and building high-performing engineering teams.

- Deep understanding of event-driven architectures with tools like Kafka, RabbitMQ, or equivalents.

- Strong database experience across both SQL and NoSQL systems.

- Hands-on experience with cloud-native services, containerization, and serverless deployments.

- Implementation of security best practices and direct ownership of vulnerability remediation.

- Ownership over testing metrics, including unit test automation, integration testing, code coverage, and performance/NFR compliance.

- Experience collaborating with product managers, architects, and delivery teams; should act as a trusted technical advisor to business stakeholders.

Preferred Qualifications :

- Proven technical leadership in guiding engineering teams and fostering excellence.

- Familiarity with patterns of performance optimization, distributed systems, and fault-tolerance.

- Deep understanding AI based expert systems.

- Experience building data-driven systems with collaboration from data science and analytics teams.