Technical Lead - Python

What s Important to Us

We are seeking a strong technical leader who can drive architecture, solve complex engineering challenges, mentor teams, build AI-enabled applications, and ensure high-quality delivery.

As a Python Lead, you will own the design, architecture, and delivery of scalable backend systems, AI-enabled applications, and cloud-native platforms.

Experience & Qualifications

• 7+ years of software engineering experience with strong hands-on development expertise in Python.
• Proven experience leading technical teams and large-scale software initiatives.
• Strong background in architecture, system design, scalability, performance optimization, and security.
• Experience building enterprise-grade cloud-native applications.
• Bachelor s degree in Computer Science, Engineering, or related field.

Core Technical Skills

Python & Backend Development

• Strong expertise in Python and frameworks such as Django, Flask, FastAPI.
• Experience building REST APIs, GraphQL services, microservices, and distributed systems.
• Strong understanding of scalable backend architecture and API design.
• Strong experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or Elasticsearch.
• Knowledge of database design, query optimization, and performance tuning.
• Frontend collaboration with working knowledge of HTML5, CSS, JavaScript, and frameworks such as ReactJS and Angular. Skilled in partnering with frontend teams to deliver seamless full-stack solutions.

Architecture, Cloud & DevOps

• Strong working knowledge of software architecture including microservices, event-driven systems, and distributed architectures.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.

Engineering Excellence & AI

• Strong commitment to clean coding principles, design patterns, code reviews, and best engineering practices.
• Experience in unit testing, integration testing, and automated quality checks.
• Exposure to AI-driven development, LLM integrations, automation tools, or modern AI ecosystems is a strong advantage.
• Experience with monitoring, logging, alerting, and incident management.
• Strong focus on system reliability, performance, and SLA adherence.

Leadership and Soft Skills

• Lead technical design and architecture discussions.
• Translate business requirements into scalable technical solutions.
• Provide effort estimations and technical guidance.
• Mentor developers and drive engineering excellence.
• Promote best practices in architecture, coding, quality, and delivery.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management.
• Ability to work effectively in cross-functional and distributed teams.