Job Description :

We are looking for a Senior DevOps Engineer to drive the design, reliability, scalability, and operational excellence of our cloud infrastructure. This role demands strong ownership across infrastructure architecture, CI/CD, observability, automation, and large-scale production environments.

Key Responsibilities :

- Own the design, architecture, and reliability of cloud infrastructure across AWS, Azure, GCP, and Aliyun for global, multi-region deployments

- Lead and optimize the CI/CD ecosystem, including scaling and improving Jenkins-as-Code environments

- Drive the organizations Infrastructure as Code (IaC) journey by codifying cloud resources, alarms, and configurations with strong version control and rollback practices

- Collaborate with engineering teams to diagnose and resolve performance, scalability, and reliability challenges

- Define and implement best practices for monitoring, alerting, observability, and incident response

- Lead initiatives focused on cost optimization, security hardening, and capacity planning

- Mentor junior engineers and elevate DevOps maturity across teams

Required Skills & Experience :

- 5+ years of experience in DevOps, SRE, or Infrastructure Engineering

- Strong hands-on experience operating large-scale production environments with clear exposure to traffic, uptime, latency, or infrastructure scale

- Experience working in B2B SaaS product companies with multi-tenant architectures, multi-environment setups, or multi-client systems

- Strong expertise in AWS, including VPC, EKS, EC2, RDS, and networking

- Strong hands-on experience with Kubernetes (EKS) and designing high-availability, multi-region systems

- Strong experience with Terraform, Helm, GitOps, and Infrastructure as Code practices

- Strong scripting expertise in Python, Go, or Bash

- Experience building and managing scalable CI/CD pipelines using Jenkins, GitHub Actions, or similar tools

- Experience with zero or low-downtime deployment strategies

- Strong understanding of SRE principles, including SLOs, SLIs, and error budgets

- Hands-on experience with Prometheus, Grafana, Datadog, and modern observability practices

- Strong exposure to alerting, on-call operations, and incident management

Eligibility Criteria :

- B.Tech in Computer Science or related fields

- Experience from strong, scaled B2B SaaS product companies only

Preferred Profile :

- Strong ownership mindset with the ability to design, scale, and operate production infrastructure

- Experience mentoring engineers and driving engineering best practices

- Ability to work across teams to improve platform reliability, efficiency, and operational readiness