Devops Engineer

SAIGroup; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Benefits

Job summary

SAIGroup in Bengaluru is looking for a skilled DevOps Engineer to design and manage cloud infrastructure on AWS. Candidates should have over 5 years of experience with AWS core services, expertise in Docker, and robust knowledge of Kubernetes. The role includes building CI/CD pipelines and implementing Infrastructure as Code.

Additionally, successful candidates will work on monitoring, logging, and ensuring operational excellence in a mission-driven environment. Enjoy a competitive salary and the opportunity to work with a modern tech stack.

Qualifications

• 5+ years of experience in a DevOps Engineer or SRE role.
• Strong hands-on experience with AWS core services.
• Expertise in containerization using Docker.
• Production experience using Kubernetes for deployments.
• Experience with CI/CD tools like GitHub Actions or Jenkins.

Responsibilities

• Design and manage cloud infrastructure on AWS.
• Containerize applications with Docker; use Kubernetes for orchestration.
• Build CI/CD pipelines for reliable software delivery.
• Implement Infrastructure as Code using tools like Terraform.
• Set up monitoring using tools like Prometheus and Grafana.

Skills

Cloud infrastructure on AWS

Docker

Kubernetes

CI/CD

Linux

Scripting (Bash, Python, Go)

Infrastructure as Code (IaC)

Monitoring and Observability

Tools

Terraform

Prometheus

Grafana

CloudFormation

Datadog

Job description

Key Responsibilities

• Design, deploy, and manage cloud infrastructure on AWS, ensuring scalability, security, and cost efficiency.
• Containerize applications using Docker and orchestrate workloads at scale with Kubernetes (EKS preferred).
• Build and maintain CI/CD pipelines to enable fast, reliable, and automated software delivery.
• Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Pulumi.
• Set up robust monitoring, logging, and alerting using tools like Prometheus, Grafana, CloudWatch, ELK, or Datadog.
• Drive observability, incident response, root cause analysis, and continuous reliability improvements.
• Harden infrastructure security: IAM, secrets management, network policies, vulnerability scanning, and compliance controls.
• Collaborate with developers to optimize application performance, deployment workflows, and developer experience.
• Automate operational tasks using scripting (Bash, Python, or Go) to eliminate toil.
• Document architecture, runbooks, and operational best practices.

Must-Have Qualifications

• 5+ years of professional experience as a DevOps Engineer, SRE, or in a similar infrastructure role.
• AWS: Strong hands-on experience with core services (EC2, VPC, S3, IAM, RDS, EKS, Lambda, CloudWatch, Route 53).
• Docker: Solid expertise in containerization, writing efficient Dockerfiles, and managing container lifecycles.
• Kubernetes: Production experience deploying and operating clusters, including Helm, ingress, autoscaling, and troubleshooting.
• CI/CD: Experience building pipelines with tools like GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
• Linux & Scripting: Strong Linux administration skills and proficiency in Bash, Python, or Go.
• IaC: Practical experience with Terraform or equivalent infrastructure-as-code tooling.
• Monitoring & Observability: Experience with metrics, logs, and traces in production environments.

Good-to-Have Qualifications

• Founding DevOps Engineer experience: Prior experience as the first or founding DevOps hire at a startup, building infrastructure and DevOps culture from scratch.
• Medical / Healthcare data systems: Exposure to medical data systems, healthcare platforms, or working with regulated data (HIPAA, HL7, FHIR, DICOM, or similar standards).
• Compliance & Security: Familiarity with SOC 2, HIPAA, ISO 27001, or other compliance frameworks.
• Service Mesh & Advanced K8s: Experience with Istio, Linkerd, or operators and custom controllers.
• Multi-cloud or Hybrid: Exposure to GCP or Azure in addition to AWS.
• Data & ML infra: Experience supporting data pipelines, model serving, or GPU workloads.

What We Look For

• Strong ownership mindset and bias for action.
• Pragmatic problem solver who balances speed, reliability, and cost.
• Excellent communication and collaboration skills across engineering, product, and security.
• Curiosity to learn new tools and a passion for automation and reliability.

Why Join Us

• Opportunity to shape infrastructure and DevOps practices end to end.
• Work on impactful, mission-driven problems in a fast-paced environment.
• Modern tech stack, strong engineering culture, and high autonomy.
• Competitive compensation, equity, and benefits.