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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 scaling AWS infrastructure, particularly with Amazon EKS, while ensuring compliance with SOC 2 and ISO 27001 standards. Proficient in automating processes using Terraform and enhancing system reliability through effective incident management and cross-functional collaboration.
Highest-signal resume keywords
AWS Infrastructure ManagementKubernetes OperationsInfrastructure-As-Code with TerraformMulti-Account AWS EnvironmentsAI Tooling 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
AWSAmazon EKSTerraformKubernetesGoPythonTypeScriptPostgreSQLDynamoDBRedis
Soft Skills
Clear Written CommunicationCross-Functional Collaboration
Tools & Technologies
Amazon EC2AWS LambdaAPI GatewayVPC NetworkingIAMS3KMSTransit GatewayPrivateLinkLoad Balancing
Industry Keywords
SOC 2ISO 27001Disaster RecoverySecurity GuardrailsMulti-Region Growth
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDNSDynamoDBEC2JavaScriptKubernetesMicroservicesNode.jsPostgresPythonRedisTerraformTypeScriptGo
About the role
Key responsibilities & impact- Build and scale AWS infrastructure and reusable platform abstractions, focusing on Amazon EKS, networking, and self-hosted services
- Identify improvement opportunities and emerging risks and propose solutions that improve reliability, scalability, and cost efficiency
- Automate shard buildouts and implement Terraform guardrails and hardened ingress to reduce incidents
- Scale systems for multi-shard, multi-region growth while meeting SOC 2, ISO 27001, disaster recovery, and enterprise security requirements
- Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering
- Own Cloud Platform reliability through on-call, incident response, postmortems, runbooks, and prevention
- Use AI tooling daily to accelerate development, testing, infrastructure-as-code, operations, and investigations, and help improve team AI leverage
Requirements
What you’ll need- 6+ years building and operating large-scale distributed systems with a focus on infrastructure and cloud, especially compute foundations
- Deep, hands-on experience operating and troubleshooting Kubernetes in production, including control-plane, node, and networking issues; ideally Amazon EKS at fleet scale
- Strong AWS experience with EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, and KMS
- Bedrock experience is a plus
- Experience with multi-account AWS environments with 20+ accounts, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing
- Infrastructure-as-code experience at scale with Terraform; CDK experience is a plus
- Fluent coding in at least one language; Go, Python, or TypeScript/Node.js preferred
- Experience with hybrid monolith/microservices architectures
- Experience operating data stores at scale, such as PostgreSQL, DynamoDB, S3, and Redis/Valkey
- Track record of improving infrastructure reliability and efficiency and implementing security guardrails
- Strong production debugging across application and infrastructure boundaries
- Clear written communication and effective cross-functional collaboration
- Daily AI user with concrete examples of how AI improved engineering workflow
Benefits
Comp & perks- AI-native company culture with daily AI use encouraged and AI fluency evaluated during hiring
- Opportunity to work on infrastructure powering millions of users
- Collaboration with SRE, Security, product, AI, and enterprise teams
- On-call, incident response, postmortems, runbooks, and prevention ownership
- Equal opportunity employment