Senior DevOps Engineer

Zime

This role requires someone who is deeply hands-on, comfortable making high-impact infrastructure decisions, and capable of mentoring and guiding others as the company scales.

This is not a support role. This is a builder and owner role.

• Design, build, and own scalable, secure, and highly available cloud infrastructure
• Own production environments end-to-end, including uptime, performance, and cost optimization.
• Build and maintain CI/CD pipelines to enable fast and reliable releases.
• Familiarity with GCP and AWS.
• Implement and manage infrastructure as code (Terraform / Pulumi / CloudFormation)
• Lead incident response, root cause analysis, and post-mortems.
• Partner closely with engineering and ML teams to support AI workloads and data pipelines.
• Establish and maintain observability systems (monitoring, logging, alerting)
• Drive security, access control, and compliance best practices
• Mentor junior engineers while remaining hands-on when required
• Deploy on private cloud.

• Review and improve cloud architecture and deployment strategies.
• Debug and resolve real production issues
• Automate infrastructure and operational workflows
• Make practical trade-offs between speed, cost, and reliability
• Set DevOps standards and raise the overall engineering bar.

• 10 years+ of hands-on experience in DevOps, Platform Engineering, or SRE roles
• Tier-1 engineering pedigree (IITs / IISc / top global CS programs)

  OR

• Exceptional builders from non‑IIT backgrounds

   who demonstrate rare depth, speed, and judgment.

• Early startup engineers with deep ownership scars

  , including:
• Built zero → one systems
• Shipped under ambiguity
• Owned production outages and rewrites
• Made hard architectural tradeoffs without guardrails
• Strong experience with at least one major cloud provider (GCP and AWS)
• Strong fundamentals in Linux, networking, and distributed systems
• Production experience with Docker and Kubernetes
• Experience building and maintaining CI/CD pipelines
• Hands-on experience with infrastructure as code tools
• Proven experience owning and supporting production systems
• Ability to lead, mentor, and collaborate while staying deeply hands-on

• Experience supporting AI/ML workloads (model training, inference pipelines, GPU workloads)
• Startup or high-growth environment experience.
• Exposure to security, compliance, or SOC2 readiness
• Public GitHub repositories, blogs, or technical contributions.

• Stable, scalable, and cost-efficient production infrastructure
• Faster and more reliable engineering releases
• Reduced incidents and clear ownership when issues arise
• Strong collaboration between DevOps, engineering, and ML teams
• Clear technical leadership in infrastructure and reliability.



• Work closely with founders on core technical decisions
• Build infrastructure for a true AI-native product
• High ownership, high trust, and minimal bureaucracy.
• Opportunity to shape and lead the DevOps function as we scale