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Remote, generalist Lead Engineer with broad cloud and DevOps requirements increases applicant density and competition.
DevOps and cloud engineering skills transfer across industries, though leadership expectations add moderate specificity.
Many mandatory cloud, DevOps, and hands-on tech requirements imply strict technical filtering.
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Own the design, build, deployment, and monitoring of scalable distributed systems serving millions of global members.
Lead a cross-functional engineering team, collaborating closely with product, data, and platform teams to deliver high quality software on frequent release cycles.
Ensure software quality through automated testing and metrics, select appropriate technical solutions balancing cost and trade-offs, and integrate AI to enhance development processes.
Proficient in Python programming.
Experience in building and optimizing performance, scalability, and reliability of distributed systems.
Hands-on experience with AWS and Azure cloud platforms, infrastructure-as-code (Terraform), DevOps tooling (CI/CD, Docker, Kubernetes) and observability tools (Prometheus, Grafana, Datadog).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced engineering leader comfortable with both hands-on development and managing productive engineering teams in distributed systems.
Familiar with integrating AI technologies and tools (e.g., LangGraph, CrewAI, Hugging Face, OpenAI APIs) within software development lifecycle.
Skilled in autonomous systems or multi-agent architectures, with strong fluency in English (C2 level).