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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining AWS infrastructure using Terraform, developing CI/CD pipelines, and creating Python automation tools. Strong ability to integrate AI tools into workflows and troubleshoot production issues while collaborating with R&D teams to enhance reliability and security.
Highest-signal resume keywords
AWS Infrastructure ManagementTerraform Module DevelopmentCI/CD Pipeline DevelopmentPython Automation ToolsAI Workflow Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWSTerraformDockerKubernetesCI/CDGitHub ActionsJenkinsLinuxBashPython
Soft Skills
CollaborationTroubleshootingProblem-Solving
Tools & Technologies
ECSBoto3AI Coding Assistants
Industry Keywords
DevOpsPlatform EngineeringSRESecure Code ReviewOperational Automation
Tech Stack
Tools & technologiesAWSDockerJenkinsKubernetesLinuxPythonTerraform
About the role
Key responsibilities & impact- Build and maintain AWS infrastructure using Terraform across production and non-production environments
- Develop and improve CI/CD pipelines for reliable software delivery
- Build Python tools and automation to simplify operations and improve developer productivity
- Integrate AI tools and agents into infrastructure, troubleshooting, and delivery workflows
- Improve monitoring and alerting
- Troubleshoot production issues
- Collaborate with R&D teams to strengthen reliability and security
- Participate in the team’s on-call rotation to troubleshoot production incidents and maintain service availability
Requirements
What you’ll need- 3–5 years of hands-on DevOps, Platform Engineering, or SRE experience
- Strong AWS and Terraform skills, including modules, state management, and multi-account and multi-environment setups
- Experience with Docker, ECS and/or Kubernetes
- Experience with CI/CD using GitHub Actions or Jenkins
- Strong Linux, networking, and troubleshooting skills
- Strong Bash and Git skills
- Strong Python skills for building tools, CLIs, Lambda functions, and AWS automation with boto3
- Daily use of AI coding assistants
- Experience building or customizing AI workflows, agents, or operational automation
- Secure code review and access practices
- Experience building custom AI-powered tools is an advantage
- Concrete examples of how AI-powered tools improved company processes, enhanced existing tools, or increased productivity are an advantage
Benefits
Comp & perks- Flexible hybrid work model combining office and remote work
- Ownership and growth opportunities through infrastructure projects, CI/CD improvements, and Python tooling
- Supportive global team culture valuing learning, knowledge sharing, and practical innovation
- Opportunity to work on Visual and Spatial AI used by leading global enterprises
- Daily use of AI tools and agents to improve automation, troubleshooting, and delivery