Mid Level Cloud DevOps Engineer
C
Cognify AnalyticsCloud Analytics
IndiaFull-TimeMiddle
SalaryCompetitive salary, equity options, and continuous learning opportunities.
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Job Details
- Experience
- 3–5 years
- Required Skills
- AWSDockerPythonBashKubernetesAzureGoCI/CDTerraform
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 3–5 years of professional experience in cloud engineering, DevOps, or site reliability engineering.
- Strong hands-on experience with AWS services (EC2, S3, RDS, Lambda, VPC, ECS/EKS, CloudFormation, IAM) or Azure services (VMs, AKS, App Service, Functions, ARM/Bicep).
- Proficiency with infrastructure-as-code tools (Terraform strongly preferred).
- Experience building and managing CI/CD pipelines.
- Working knowledge of Docker, Kubernetes, and container orchestration.
- Strong scripting skills in Python, Bash, or Go.
- Solid understanding of networking (VPC, subnets, load balancers, DNS, CDN), security (IAM, RBAC, encryption), and compliance.
- Experience with monitoring and observability tools.
- Familiarity with Agile methodologies and collaborative development workflows.
Responsibilities
- Design, provision, and manage production cloud infrastructure on AWS and Azure using Terraform, CloudFormation, CDK, Bicep, or Pulumi.
- Build and maintain robust CI/CD pipelines for application and infrastructure deployments using GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, or Azure DevOps.
- Deploy and manage containerized workloads on Amazon ECS, EKS, or Azure Kubernetes Service (AKS).
- Implement serverless architectures using AWS Lambda, Step Functions, API Gateway, EventBridge, Azure Functions, and Logic Apps.
- Support and execute cloud migration projects.
- Develop and maintain Django-based and Python back-end applications integrated with cloud-native services.
- Implement infrastructure monitoring, alerting, and observability using CloudWatch, Azure Monitor, Prometheus, Grafana, Datadog, or OpenTelemetry.
- Automate operational workflows using Python, Bash, Go, or PowerShell.
- Enforce security best practices including IAM, VPC design, WAF, secrets management, and encryption.
- Optimize cloud costs through reserved instances, savings plans, right-sizing, and FinOps practices.
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