Technical Lead

Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.

Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.

Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.

Continually evaluate and improve DevOps processes for a cloud-native codebase.

Review PRs, mentor others and proactively take initiatives to improve our teams shipping velocity.

Leverage your industry experience to champion engineering best practices within the organization.

Experience

5-7 years of experience with hands-on experience with development of full fledge Systems/Micro-services using Python, Golang, or NodeJS programming.

3+ years experience having Senior engineering responsibilities.

3+ years of people management experience managing engineers preferably with good exposure in leading remote development teams in the past, with work break-down and orchestrating the development of components for each sprint.

3+ years of experience in object-oriented design, and agile development methodologies.

3+ years of experience in developing/deploying cloud-native software using GCP / AWS / Azure.

Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions and delivering end-to-end products.

Mandatory hands-on understanding, and experience of DevOps pipeline development including Kubernetes, CI/CD pipelines, Docker, Helm, Networking architecture etc.

Strong design skills in defining API Data Contracts / OOAD / data models and concurrency concept.

Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.

An optimistic attitude, attention to detail, and an obsessive problem-solving mindset.

(Bonus: working with big data in data lakes/warehouses).

(Bonus: built an end-to-end ML pipeline)

Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.

Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)

Strong independent contributor as well as a team player.

Working knowledge of ML and familiarity with concepts of MLOps