BENGALURU · FULLTIME
DevOps Engineer
Dextr AI
Bengaluru · onsite · Posted 63d ago
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Not disclosed3–6 yrsfulltimeBengaluru
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Section · 01
About this role
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.
Sourced from instahyre
Section · 02
Skills
JenkinsPrometheusDevopsGrafanaDockerTerraformBashGitlabKubernetesCloud ComputingReliability engineeringconfiguration managementamazon web serviceselastic searchHelmaws cloudformationMonitoringGithub ActionsContainersPythonAnsibleLinuxCi/Cd