DevOps Engineer

Review CriteriaStrong DevOps /Cloud Engineer ProfilesMust have 3+ years of experience as a DevOps / Cloud Engineer Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)Must have strong hands-on experience in Linux administration and system managementMust have hands-on experience with containerization and orchestration tools such as Docker and KubernetesMust have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or JenkinsMust have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormationMust be proficient in scripting languages such as Python or Bash for automationMust have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatchTop tier Product-based company (B2B Enterprise SaaS preferred)PreferredExperience in multi-tenant SaaS infrastructure scaling.Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.Role & ResponsibilitiesWe are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.Key Responsibilities:Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).Build and optimize CI/CD pipelines to support rapid release cycles.Manage containerization & orchestration (Docker, Kubernetes).Own infrastructure-as-code (Terraform, Ansible, CloudFormation).Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).Drive cloud security automation (IAM, SSL, secrets management).Partner with engineering teams to embed DevOps into SDLC.Troubleshoot production issues and drive incident response.Support multi-tenant SaaS scaling strategies.Ideal Candidate3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.Strong expertise in AWS, Azure, or GCP.Strong expertise in LINUX Administration.Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).Proficient in Terraform/Ansible/CloudFormation.Strong scripting skills (Python, Bash).Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).Strong grasp of cloud security best practices.