FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
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 orchestration using Kubernetes and Docker. Proficient in implementing observability and security practices across cloud environments while optimizing resource allocation and cost efficiency.
Highest-signal resume keywords
AWS Infrastructure ArchitectureTerraform State ManagementCI/CD Pipeline ImplementationKubernetes ManagementPython Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWSTerraformKubernetesDockerGitHub ActionsGitLab CIPythonLinux Shell ScriptingOpenTelemetryDatadog
Tools & Technologies
AWS CDKGitOpsArgo CDJFrog ArtifactorySonatype NexusAWS Secrets ManagerHashiCorp VaultPrometheusGrafanaAWS SageMaker
Certifications & Qualifications
AWS Certified Solutions ArchitectAWS Certified DevOps Engineer Professional
Industry Keywords
Policy-as-CodeMLOpsIncident ResponseContainerizationCloud Security
Tech Stack
Tools & technologiesAWSCloudDockerElasticSearchFluxGrafanaKubernetesLinuxPrometheusPythonShell ScriptingSplunkTerraformVaultGo
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-grade containerized workloads on Kubernetes (Amazon EKS) or Amazon ECS
- Optimize container image builds, build caching, and cluster resource scaling using Karpenter or Cluster Autoscaler
- Instrument system-wide observability using OpenTelemetry, Datadog, Splunk, or AWS CloudWatch
- Define and track SLIs, SLOs, and error budgets
- Establish actionable alerting pipelines that minimize alert fatigue
- Integrate automated vulnerability scanning for container images, dependencies, and IaC into CI/CD pipelines
- Manage centralized identity, role-based access controls (RBAC), and secrets management using AWS Secrets Manager or HashiCorp Vault
- Develop custom automation scripts and micro-tools using Python (boto3) or Go
- Eliminate manual toil, support automated backups, and validate disaster recovery procedures
- Partner with engineering teams to monitor cloud consumption and optimize resource allocation
- Implement automated scaling policies to maintain cost-efficient infrastructure
- Travel to client sites as required by projects or assignments
- Report onsite at client locations when required
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 state management and module design or AWS CDK
- Strong background in Docker containerization
- 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 using JFrog Artifactory, Sonatype Nexus, or GitHub Packages
- Proficiency in Python, including AWS SDK/boto3, or Go
- Proficiency with Linux shell scripting (Bash)
- Proven experience implementing logging, metrics, and tracing platforms such as Datadog, OpenTelemetry, Splunk, Prometheus/Grafana
- Experience designing structured on-call incident responses
- Experience implementing GitOps workflows with Argo CD or Flux
- Familiarity with Policy-as-Code frameworks such as Open Policy Agent/Gatekeeper, Kyverno, or Checkov
- Understanding of MLOps pipelines and infrastructure for machine learning workloads, such as Kubeflow or AWS SageMaker
- Practical experience running OpenSearch/Elasticsearch clusters at scale
- AWS Certified Solutions Architect or DevOps Engineer Professional, or other cloud certifications, preferred
- Employees are responsible for traveling to and from client sites as required
- Employees are expected to report onsite at client locations when required by project scope, client request, or management directive
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) matching
- Flexible vacation
- Training sponsorship
- Professional growth opportunities
- Recognition as a Best Place to Work, Great Place to Work, Fastest Growing, and A Jewel