Technical Lead - Python

We are looking for a hands-on Technical Lead to drive engineering delivery in a high-velocity product development environment. This role combines strong individual technical contribution with team leadership. The ideal candidate is equally comfortable writing production-grade Python code, architecting AWS-based solutions, and leading a team of engineers through fast-paced sprint cycles.

The core responsibilities for the job include the following:

Technical Capabilities in AWS Solution Architecture:

• Design, build, and orchestrate solutions using core AWS services, including EKS, Lambda, Batch, Secrets Manager, CloudWatch, CFTs, Event Bridge, S3 and Step Functions.
• Working with Elastic Search or Open Search database services.
• Manage and optimize cloud cost governance using tagging strategies and cost allocation best practices.
• Working experience with cost usage reports from AWS.
• Orchestrate AWS service APIs and functions directly from Python code, building reliable, automated, and scalable workflows.

Engineering and Code Quality:

• Demonstrate strong proficiency in Python programming, writing clean, efficient, and maintainable code.
• Conduct thorough pull request (PR) reviews, ensuring adherence to coding standards and best practices.
• Own code coverage from a performance and scalability standpoint, not just functional correctness.
• Partner closely with QA teams to define test coverage strategy and ensure comprehensive validation of features.

Team & Sprint Leadership:

• Lead and mentor a team of 5 engineers, fostering technical growth and accountability.
• Own the execution and delivery of engineering sprints in an agile environment.
• You will work under product managers who will take overall responsibility for the product release.
• Take full ownership of a sprint's quality and technical delivery, ensuring commitments are met without compromising standards.
• Operate effectively within a high-velocity, fast-iteration product environment, balancing speed with engineering rigor.
• Work closely with the CTO and infrastructure team to streamline and automate production hygiene - from installation, configuration to support.

CI/CD & Engineering Automation:

• Work with CI/CD pipelines, automated testing, deployment automation, and engineering productivity practices.

Production Reliability and Observability:

• Design and operate production-grade systems with appropriate logging, monitoring, alerting, error handling, and resilience.

Technical Architecture:

• Own technical architecture and design decisions, evaluating trade-offs across scalability, performance, reliability, maintainability, and cost.

AI-Assisted Engineering:

• Use AI tools and practices to accelerate software development, testing, documentation, and engineering workflows, with demonstrable productivity or quality improvements.

Requirements:

• Core Stack: Python, AWS (Lambda, Batch, Step Functions, EC2 etc. ).
• Hands-on development, code reviews, and delivery quality across.
• Minimum 7 years of relevant software engineering experience.
• Proven experience leading a team of engineers (team size of 5 or more) in an agile/sprint-based setting.
• Strong working knowledge of AWS services: Lambda, Batch, Step Functions, EC2 (API-driven instance management), and cost management via tagging.
• Demonstrated experience orchestrating cloud infrastructure and services programmatically using Python.
• Solid understanding of code review practices, with emphasis on performance and scalability considerations.
• Experience collaborating with QA teams on test strategy and coverage.
• Track record of owning end-to-end sprint delivery, including quality and technical outcomes.

Preferred Attributes:

• Comfortable operating in ambiguous, fast-changing environments typical of product-led organizations.
• Strong communication skills to bridge technical and cross-functional stakeholders.
• Proactive mindset toward process improvement, automation, and technical debt management.