Lead DevOps Engineer - Cloud Infrastructure

Description :

We are looking for a DevOps Lead who will own our cloud infrastructure, CI/CD pipelines, security, reliability, and scalability. You will work closely with engineering, product, and security teams to ensure our platforms are highly available, performant, and secure.

This is a hands-on leadership role where you will be responsible for designing, building, mentoring, and leading DevOps initiatives.

Key Responsibilities :

Infrastructure & Cloud :

- Own and manage cloud infrastructure (AWS preferred)

- Design highly available, scalable, and fault-tolerant systems

- Manage multiple environments (Production, Staging, QA, Dev)

- Implement Infrastructure as Code (Terraform / CloudFormation)

CI/CD & Automation :

- Design and maintain CI/CD pipelines (GitHub Actions / GitLab / Jenkins)

- Automate build, test, deployment, and rollback processes

- Improve deployment speed, reliability, and enable zero-downtime releases

Monitoring, Reliability & Security :

- Set up monitoring, alerting, and logging (Prometheus, Grafana, ELK, CloudWatch)

- Own uptime, SLAs, incident response, and post-mortems

- Implement security best practices (IAM, secrets management, vulnerability scans)

- Ensure compliance with security and audit requirements

Containerization & Orchestration :

- Manage Docker-based workloads

- Own Kubernetes (EKS preferred) setup, scaling, and upgrades

- Optimize resource utilization and cost efficiency

Leadership & Collaboration :

- Lead and mentor DevOps engineers

- Collaborate with backend, frontend, and QA teams

- Drive DevOps best practices across teams

- Participate in architecture and scalability discussions

AI & Modern Development :

- Experience integrating AI/LLM APIs (OpenAI, Anthropic, Hugging Face) into production systems

- Deploy and scale AI/ML workloads on cloud infrastructure (GPU instances, model serving)

- Manage rate limiting, cost optimization, and observability for LLM API usage

- Ensure security and compliance for AI-driven applications (data privacy, prompt injection, access control)

Required Skills & Experience :

Must-Have :

- 6+ years of experience in DevOps / SRE roles

- Strong experience with AWS

- Hands-on experience with Docker & Kubernetes

- Expertise in CI/CD pipelines

- Experience with Infrastructure as Code (Terraform preferred)

- Strong Linux and networking fundamentals

- Experience with monitoring, logging, and alerting tools

- Experience working on high-traffic SaaS or B2B platforms

- Experience integrating LLM APIs and deploying scalable AI/ML workloads

- Strong focus on cost optimization, observability, and security/compliance

Good to Have :

- Knowledge of security best practices and compliance

- Experience with cost optimization (FinOps)

- Exposure to multi-region deployments

- Scripting skills (Bash, Python, or Go)

What Were Looking For :

- Strong ownership mindset treats infrastructure like a product

- Excellent problem-solving and debugging skills

- Ability to balance speed, reliability, and security

- Clear communication and leadership skills

- Comfortable working in fast-paced, high-impact environments