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Remote role, generic Lead title, and broad skillset increase applicant density.
Core DevOps skills are broadly transferable across industries despite some AI and multi-cloud specialization.
Multiple mandatory cloud, infra, and programming stack requirements increase filter rigidity.
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Lead and manage a cross-functional engineering team to design, build, deploy, and monitor scalable systems serving millions of global members.
Ensure high-quality software delivery with automated testing, metrics tracking, and frequent release cadence using a DevOps mindset ('you build it, you run it').
Collaborate closely with product teams to choose cost-effective technical solutions and contribute to building an industry-leading service using AI where applicable.
Proficiency in Python programming.
Experience with building and optimizing systems for performance, scalability, and reliability.
Hands-on experience with cloud platforms AWS and Azure, infrastructure-as-code tools like Terraform, and DevOps/Infra tooling (CI/CD, Docker, Kubernetes).
Work Experience Required: Not explicitly mentioned in the JD; Fluent English at C2 level explicitly required.
Experienced in leading productive engineering teams within fast-paced, product-driven environments adopting DevOps practices.
Skilled in designing, building, and monitoring distributed systems including frontend and backend components, with expertise in multiple databases (SQL and NoSQL).
Familiar with AI integration in software development lifecycle and preferably experienced with Gen AI tools and autonomous/multi-agent systems.