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Dextr AI

DevOps Engineer

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Description

Responsibilities:

  • Design, implement, and maintain scalable and reliable AWS infrastructure.
  • Manage and automate cloud infrastructure using AWS services and Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
  • Build, maintain, and optimize CI/CD pipelines for application build, testing, deployment, and release processes.
  • Manage AWS services, including EC2 S3 VPC, IAM, RDS, Lambda, CloudWatch, ECS/EKS, and related services.
  • Implement and maintain containerized environments using Docker and Kubernetes/EKS.
  • Monitor system performance, availability, security, and resource utilization using AWS monitoring and logging tools.
  • Troubleshoot infrastructure, deployment, networking, and application-related issues.
  • Implement cloud security best practices, including IAM policies, access controls, encryption, and secrets management.
  • Automate operational processes using scripting and DevOps tools.
  • Collaborate with developers, QA, and product teams to streamline deployment and release processes.
  • Support production deployments, incident management, and root-cause analysis.
  • Continuously improve infrastructure scalability, reliability, performance, and cost optimization.
  • Stay updated with emerging AWS services, DevOps practices, and cloud technologies.


Requirements:

  • 3-6 years of experience in DevOps
  • Strong hands-on experience with AWS cloud services.
  • Good experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline.
  • Hands-on experience with Terraform, CloudFormation, or other Infrastructure as Code tools.
  • Strong knowledge of Docker and Kubernetes, preferably AWS EKS.
  • Good understanding of Linux/Unix systems, networking, DNS, HTTP/HTTPS, and troubleshooting.
  • Experience with Git and Git-based development workflows.
  • Experience with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, or ELK.
  • Strong understanding of AWS IAM, security, networking, VPCs, subnets, security groups, and load balancing.
  • Experience with scripting using Python, Bash, or Shell.
  • Understanding of deployment strategies such as blue-green, rolling, and Canary deployments.
  • Good understanding of cloud security, availability, scalability, and cost optimization.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Good communication and collaboration skills.
  • Ability to work effectively in a fast-paced product engineering environment.


Good to Have:

  • AWS certifications such as AWS Certified DevOps Engineer, Solutions Architect, or SysOps Administrator.
  • Experience with AWS ECS/EKS, Lambda, API Gateway, RDS, DynamoDB, and SQS/SNS.
  • Experience implementing DevSecOps practices and integrating security checks into CI/CD pipelines.
  • Exposure to GitOps tools such as Argo CD or Flux.
  • Experience with Helm and Kubernetes deployment management.
  • Knowledge of Prometheus, Grafana, ELK/OpenSearch, or other observability platforms.
  • Experience with Ansible or configuration management tools.
  • Exposure to AI/GenAI/LLM-based applications and cloud infrastructure.
  • Experience using AI-assisted development/DevOps tools such as GitHub Copilot, Cursor, Claude, or ChatGPT.
  • Experience working in Agile/Scrum teams.

Skills

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See also

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