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 implementing and optimizing AWS cloud services, managing container platforms with Kubernetes, and utilizing infrastructure as code tools like Terraform. Proficient in CI/CD pipeline configuration and automation scripting, ensuring high availability and reliability in cloud environments.
Highest-signal resume keywords
AWS Cloud ServicesKubernetes ManagementInfrastructure As CodeCI/CD Pipeline ConfigurationAutomation Scripting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWS EC2AWS EKSAWS ECSTerraformDockerBitbucket PipelinesGitHub ActionsPrometheusGrafanaPython
Tools & Technologies
JiraConfluenceGitLab CIJenkinsArgoCD
Industry Keywords
DevOps MethodologiesMonitoringObservabilityCloud SecurityServerless Architectures
Tech Stack
Tools & technologiesAWSCloudDockerEC2GrafanaJenkinsKubernetesPrometheusPythonTerraform
About the role
Key responsibilities & impact- Implement, administer, and optimize AWS cloud services, including EC2, EKS, ECS, S3, RDS, SQS, API Gateway, and other related services
- Manage container platforms using Kubernetes, preferably EKS, as well as kubectl, Helm charts, and Docker
- Design, provision, and maintain infrastructure as code using Terraform, CloudFormation, or other equivalent tools
- Develop and maintain modules, variables, and versioning best practices for managing cloud resources
- Configure, maintain, and optimize CI/CD pipelines using Bitbucket Pipelines, GitHub Actions, GitLab CI, Jenkins, or similar tools
- Implement GitOps practices with ArgoCD or other related tools
- Automate operational tasks through scripting in Bash, Python, or similar languages
- Implement and manage monitoring, observability, metrics, alerting, and centralized logging tools such as Prometheus, Grafana, CloudWatch, ELK, or Loki
- Contribute to the continuous improvement of the security, availability, scalability, and reliability of cloud and microservices environments
- Collaborate with Technology, Product, and Security teams to ensure stable, traceable deployments aligned with business needs
Requirements
What you’ll need- Degree in Systems Engineering, Computer Engineering, Electronic Engineering, Computer Science, Telecommunications Engineering, or a related field
- At least 3 years of experience working with AWS cloud services
- At least 3 years of experience using infrastructure as code
- At least 3 years of experience using Atlassian tools such as Jira, Confluence, and Bitbucket
- At least 3 years of experience with DevOps methodologies in cloud environments
- Knowledge of AWS services: EC2, EKS, ECS, S3, RDS, SQS, API Gateway, CloudWatch, VPC, IAM, and Security Groups
- Knowledge of Kubernetes, EKS, kubectl, Helm charts, and best practices for workload deployment
- Knowledge of Docker and containerization best practices
- Knowledge of Terraform, CloudFormation, infrastructure as code, modules, variables, and versioning
- Knowledge of CI/CD using Bitbucket Pipelines, GitHub Actions, GitLab CI, Jenkins, or similar tools
- Knowledge of ArgoCD, GitOps, and scripting in Bash, Python, or similar languages for automation
- Knowledge of monitoring and observability using Prometheus, Grafana, CloudWatch, ELK, Loki, or other centralized logging tools
- Familiarity with Lambda Functions, serverless architectures, SRE practices, SLI, SLO, SLA, telemetry, and applied AI is a plus
- Intermediate to advanced technical English
Benefits
Comp & perks- Remote work 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score