Python Technical Lead

What's in it for you:

We are looking for an innovative, mission-driven Technical Lead with strong backend engineering, data pipeline, design, and architecture experience to make a significant impact by designing and delivering AWS cloud-native solutions that enable analysts to forecast long- and short-term trends in the automotive industry. This role requires hands-on technical depth, proven experience in solution design and system architecture, and the ability to lead engineering teams in a fast-paced, collaborative, and dynamic environment.

Responsibilities:

- Lead the design, architecture, development, and maintenance of scalable backend services, data pipelines, and complex engineering solutions

- Design and build scalable, resilient, and maintainable data pipelines to support large-volume data ingestion, transformation, processing, and delivery across cloud-native platforms

- Optimize data pipelines for performance, throughput, cost efficiency, monitoring, and fault tolerance while ensuring secure and governed data movement

- Architect and build high-performance UI backend services using Python and Flask ensuring scalability, reliability, and responsiveness

- Ensure data quality and integrity through robust validation processes

- Strong understanding of data integration and data modeling concepts

- Provide technical leadership, mentor engineers, review designs and code, and drive engineering best practices across the team

- Collaborate with product owners, architects, data scientists, analysts, and cross-functional engineering teams to translate business requirements into robust technical designs

- Collaborate with data scientists and analysts to optimize data flow and storage for advanced analytics

- Take ownership of key modules and architecture decisions, ensuring timely delivery, high quality, maintainability, and alignment with software development best practices

What We're Looking For:

- Bachelor's degree in computer science, or a related field

- Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to influence technical direction

- Minimum 8+ years of hands-on software engineering experience, with strong exposure to backend development, data engineering, advanced analytics, or cloud-native platforms

- Proven experience in technical leadership, solution design, system architecture, design reviews, and mentoring engineering teams

- Ability to define scalable architecture patterns, evaluate technical trade-offs, and guide teams through complex implementation decisions

- Proficiency in Python and experience with Flask for backend development.

- Strong knowledge of object-oriented programming.

- AWS Proficiency is Mandatory: ECR, Containerization, Batch, Step Functions, Redis, Dynamodb

- Experience with SQL and data warehousing is desirable

- Experience with data manipulation libraries and analytical frameworks such as such as Spark, Pandas, Polars, NumPy, Metaflow

- Experience with Gitlab CI/CD or similar tools for continuous integration and deployment