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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying secure AWS cloud architectures, leveraging Terraform, AWS CDK, and CloudFormation. Proven ability to lead client engagements, mentor teams, and drive cloud modernization initiatives while ensuring high-value outcomes for enterprise clients.
Highest-signal resume keywords
AWS Cloud ArchitectureTerraformAWS Certified Solutions Architect – ProfessionalClient-Facing ConsultingMicroservices and Serverless Patterns
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 ServicesDevOps/SRECI/CD PipelinesAmazon BedrockSageMakerDynamoDBECS/EKSAPI GatewayCloudFormationTerraform Modules
Soft Skills
Verbal CommunicationWritten CommunicationMentoringTechnical Leadership
Tools & Technologies
GitHub ActionsGitLab CIAWS CodePipelineAWS Well-Architected ReviewVector Databases
Certifications & Qualifications
AWS Certified Solutions Architect – ProfessionalAWS Certified DevOps Engineer – ProfessionalSpecialty AWS Certifications
Industry Keywords
HealthcareFinancial ServicesRetailSaaSCloud Modernization
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudDynamoDBEC2MicroservicesTerraform
About the role
Key responsibilities & impact- Design, build, and deploy secure, scalable, and resilient AWS cloud architectures using Terraform, AWS CDK, or CloudFormation.
- Implement modern microservices and serverless patterns using Lambda, ECS/EKS, API Gateway, and DynamoDB.
- Serve as the primary technical leader on strategic enterprise client engagements.
- Partner with CIOs, CTOs, VPs of Infrastructure/Engineering, and client development teams to translate business goals into AWS solutions.
- Lead large-scale migrations from on-premises data centers or legacy platforms to AWS.
- Re-architect legacy monolithic applications into modern serverless or containerized architectures.
- Architect and deploy enterprise Generative AI and machine learning workloads using Amazon Bedrock, SageMaker, vector databases, and custom RAG implementations.
- Identify new high-value cloud workloads and drive AWS consumption expansion and client ROI.
- Coach and mentor Cloud Engineers and Solutions Architects.
- Develop internal RevStar accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices.
Requirements
What you’ll need- 6+ years of hands-on experience in Cloud Architecture, DevOps/SRE, or Software Engineering with a focus on AWS.
- 3+ years in a client-facing consulting, Solutions Architecture, or Forward Deployed Engineering role.
- Mastery across core AWS services: IAM, VPC, EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudFront, Route 53.
- Expert-level proficiency in Terraform, AWS CDK, or CloudFormation.
- Experience with automated CI/CD pipelines, including GitHub Actions, GitLab CI, or AWS CodePipeline.
- Practical experience with Amazon Bedrock, SageMaker, Glue, Redshift, or OpenSearch for building data platforms and AI solutions.
- AWS Certified Solutions Architect – Professional and/or AWS Certified DevOps Engineer – Professional required.
- Specialty AWS certifications in Security, Machine Learning, or Data Analytics are a plus.
- Proven experience leading technical delivery for Fortune 500 or mid-market enterprise clients in Healthcare, Financial Services, Retail, or SaaS.
- Outstanding verbal and written communication; ability to whiteboard complex architectures, build working POCs/demos, and present to C-level executives.
- Ability to identify technical expansion opportunities, conduct AWS Well-Architected Reviews, and advocate for cloud modernization.
Benefits
Comp & perks- Paid Time Off – Take the time you need to recharge and stay productive.
- Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
- Comprehensive Health Coverage – Medical, Dental, Vision
- 401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.
- Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
- Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
- Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
- Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
- Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.
