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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and maintaining AWS infrastructure using Terraform or AWS CDK, with a strong focus on CI/CD pipeline automation and container management. Proficient in implementing observability and security practices across cloud environments while ensuring efficient resource allocation and cost management.
Highest-signal resume keywords
AWS Infrastructure ArchitectureTerraform or AWS CDKCI/CD Pipeline AutomationKubernetes ManagementPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWSTerraformAWS CDKKubernetesDockerGitHub ActionsGitLab CIPythonLinux Shell ScriptingOpenTelemetry
Tools & Technologies
GitOpsArgo CDDatadogSplunkAWS CloudWatch
Certifications & Qualifications
AWS Certified Solutions ArchitectAWS Certified DevOps Engineer Professional
Industry Keywords
Policy-as-CodeContainerizationMicroservicesDisaster RecoveryIncident Response
Tech Stack
Tools & technologiesAWSCloudDockerElasticSearchFluxKubernetesLinuxPythonShell ScriptingSplunkTerraformGo
About the role
Key responsibilities & impact- Architect, provision, and maintain modular AWS infrastructure using Terraform or AWS CDK
- Establish reusable infrastructure modules and enforce policy-as-code across multiple environments
- Design, build, and maintain automated delivery pipelines using GitHub Actions or GitLab CI
- Integrate GitOps engines such as Argo CD for zero-downtime and progressive Blue/Green or Canary rollouts
- Manage production containerized workloads on Kubernetes (Amazon EKS) or Amazon ECS
- Optimize container image builds, build caching, and cluster resource scaling
- Implement system-wide observability using OpenTelemetry, Datadog, Splunk, or AWS CloudWatch
- Define and track SLIs, SLOs, and error budgets, and establish actionable alerting pipelines
- Integrate automated vulnerability scanning for container images, dependencies, and IaC into CI/CD pipelines
- Manage centralized identity, RBAC, and secrets management
- Develop automation scripts and micro-tools using Python/boto3 or Go
- Support automated backups and validate disaster recovery procedures
- Partner with engineering teams on cloud consumption, resource allocation, automated scaling, and cost-efficient infrastructure
- Travel to client sites as required by project or assignment
- Report onsite at client locations when required by project scope, client request, or management directive
Requirements
What you’ll need- 3+ years of hands-on experience designing, deploying, and supporting enterprise-grade systems on AWS, including VPC, IAM, EKS/ECS, RDS, S3, and EventBridge
- Deep operational experience with Terraform or AWS CDK
- Strong Docker containerization background
- Hands-on operational experience with Kubernetes (EKS) or AWS ECS, including Helm templating
- Extensive experience implementing CI/CD pipelines using GitHub Actions or GitLab CI
- Experience with automated testing, linting, security scanning, and artifact management
- Proficiency in Python including AWS SDK/boto3 or Go
- Linux shell scripting using Bash
- Proven experience implementing logging, metrics, and tracing platforms
- Experience designing structured on-call incident responses
- Preferred: GitOps workflows with Argo CD or Flux
- Preferred: Policy-as-Code frameworks such as Open Policy Agent/Gatekeeper, Kyverno, or Checkov
- Preferred: MLOps pipelines and infrastructure for machine learning workloads
- Preferred: Running OpenSearch/Elasticsearch clusters at scale
- Preferred: AWS Certified Solutions Architect, DevOps Engineer Professional, or other cloud certifications
Benefits
Comp & perks- Medical, dental & vision insurance
- 401k matching
- Flexible vacation
- Company-sponsored training to advance employees’ skill sets
- Professional growth path support
- Recognition as a Best Place to Work / Great Place to Work organization