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Remote role, generalist Lead Engineer title, and metro India market increase applicant competition.
Cloud, DevOps, Python and observability skills are broadly transferable across industries.
Many mandatory technologies plus leadership and platform responsibilities create strict screening filters.
Lead and mentor a cross-functional engineering team responsible for designing, building, deploying, and monitoring scalable software systems serving millions of global members.
Drive high-quality, frequent software releases with a DevOps mindset, ensuring product lifecycle ownership and rigorous automated testing and metrics.
Collaborate closely with Product, Data, and Platform teams to translate business needs into technical solutions while balancing cost, performance, and scalability trade-offs.
Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field.
Proven experience leading and mentoring software engineering teams with technical direction and support.
Strong proficiency in Python and experience with AWS, Azure, Terraform, Docker, Kubernetes, CI/CD, and observability tools like Prometheus, Grafana, or Datadog.
Work Experience Required: Not explicitly mentioned in the JD; Fluent English (C2 proficiency) required.
Experienced leader skilled in managing productive engineering teams operating with a 'you build it, you run it' DevOps mindset and ownership across the full product lifecycle.
Technical hands-on expertise in developing and optimizing distributed systems both frontend and backend, with strong cloud and infrastructure automation knowledge.
Able to drive strategic technology decisions balancing scalability, performance, complexity, and cost while partnering closely with Product to shape the technical vision, including practical use of AI in engineering.