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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in designing scalable and secure AWS architectures, implementing Infrastructure as Code with Terraform and AWS CDK, and leading technical discussions with stakeholders. Proficient in automation using Python and Bash, with a strong focus on security and compliance in cloud environments.
Highest-signal resume keywords
AWS Architecture DesignInfrastructure As CodeCI/CD Pipeline DevelopmentPython AutomationClient Engagement Leadership
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 VPC NetworkingIAM ManagementEC2/ECS/LambdaRDS/DynamoDB/S3CloudWatchTerraformAWS CDKGitHub ActionsJenkinsKubernetes
Soft Skills
Technical LeadershipMentoringStakeholder ManagementCommunicationProblem-Solving
Tools & Technologies
GitLab CIAWS CodePipelineAI Coding ToolsBashJavaNode.js
Certifications & Qualifications
AWS Certified Solutions Architect – ProfessionalAWS Certified DevOps Engineer – ProfessionalKubernetes Certification (CKA/CKAD)
Industry Keywords
Cloud InfrastructureDevOpsSite Reliability EngineeringMulti-CloudSOC 2 ComplianceISO CompliancePCI Compliance
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDynamoDBEC2Google Cloud PlatformJavaJavaScriptJenkinsKubernetesNode.jsPythonTerraform
About the role
Key responsibilities & impact- Design scalable, secure, and cost-efficient AWS architectures for greenfield builds and migrations
- Lead systems design decisions covering high availability, disaster recovery, multi-account strategy, network topology, and performance at scale
- Build and maintain Infrastructure as Code using Terraform, AWS CDK, or CloudFormation
- Architect and improve CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
- Write production-grade automation and tooling in Python and Bash, and contribute to Java/Node.js services where needed
- Use AI coding and assistant tools to accelerate IaC, scripting, documentation, and troubleshooting while reviewing output for security, correctness, and cost implications
- Lead client-facing workshops, architecture reviews, and technical discussions
- Translate business requirements into technical solutions and explain trade-offs
- Implement observability and drive incident response and post-mortem practices
- Embed security and compliance into infrastructure, including IAM least privilege, encryption, guardrails, and applicable SOC 2 / ISO / PCI requirements
- Mentor engineers and raise the technical bar of the team
Requirements
What you’ll need- 8+ years in DevOps, SRE, or cloud infrastructure roles, including 2+ years in an architect or technical lead capacity
- Deep, hands-on AWS expertise across VPC networking, IAM and Organizations, EC2/ECS/Lambda, RDS/DynamoDB/S3, CloudWatch, and cost optimization
- Proven record of designing distributed systems for scale, resilience, and fault tolerance
- Strong Python and Bash skills for automation; working proficiency in Java or Node.js
- Regular, practical use of AI assistants and coding agents in an engineering workflow
- Experience leading client or stakeholder engagements, presenting architectures to leadership, managing expectations, and pushing back when technically necessary
- Hands-on experience with Infrastructure as Code and containers/Kubernetes
- AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional (nice to have)
- Kubernetes certifications (CKA/CKAD) (nice to have)
- Consulting or professional services background (nice to have)
- Experience building AI/LLM capabilities into internal tooling or pipelines (nice to have)
- Multi-cloud exposure (Azure/GCP) (nice to have)
Benefits
Comp & perks- Full Time - Remote
- Equal opportunity employer committed to diversity in the workplace
