Technical Lead

Role & Responsibilities

• Lead the design, development, and enhancement of scalable backend services using Python.
• Architect and develop cloud-native, containerized applications deployed on Kubernetes.
• Design, build, and integrate RESTful APIs and microservices.
• Drive technical decisions, architecture reviews, code quality, and engineering best practices.
• Collaborate closely with product, data science, and engineering teams to deliver AI-driven solutions.
• Mentor engineers through code reviews, technical guidance, and knowledge sharing.
• Develop and optimize PostgreSQL databases, ensuring performance and scalability.
• Contribute hands-on to the codebase while leading the technical direction of the platform.
• Work with CI/CD pipelines, Docker, Git, and modern software development practices.
• Build and integrate AI/Agentic AI solutions using frameworks such as LangGraph, OpenAI SDK, Google ADK, or similar.
• Participate in the development of React-based user interfaces and full-stack features when required.
• Drive adoption of modern engineering practices, automation, security, and platform reliability.

Preferred Candidate Profile

• 7 to 10 years of software engineering experience with strong expertise in backend or platform engineering.
• Strong hands-on experience in Python development.
• Experience designing and operating applications on Kubernetes.
• Proficient in REST API design, microservices architecture, and distributed systems.
• Strong knowledge of PostgreSQL, database design, and performance optimization.
• Experience with Docker, Git, CI/CD pipelines, and cloud-native development.
• Proven experience providing technical leadership, setting engineering standards, and mentoring developers.
• Familiarity with React and modern front-end development practices.
• Exposure to Agentic AI frameworks such as LangGraph, OpenAI SDK, Google ADK, CrewAI, AutoGen, or similar.
• Experience with messaging technologies such as Kafka or RabbitMQ is preferred.
• Exposure to Helm, Azure DevOps, Cursor, Veracode, or similar development tools is a plus.
• Strong problem-solving, communication, and stakeholder management skills.
• Experience working with globally distributed teams is highly desirable.

Perks and Benefits

• Opportunity to lead the architecture and technical direction of a cutting-edge AI-powered platform.
• Exposure to GenAI, Agentic AI, and cloud-native technologies at scale.
• Collaborative global work environment with cross-functional teams.
• High-impact role with significant ownership and technical influence.
• Continuous learning and professional development opportunities.
• Flexible and innovative engineering culture.