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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced expertise in Terraform and AWS environments, with a strong focus on reliability, scalability, and performance of critical platforms. Proficient in incident response, observability, and automation to enhance service availability and streamline operations.
Highest-signal resume keywords
Advanced Terraform ExpertiseAWS Environment ManagementIncident Response SkillsBash/Python ScriptingDocker Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TerraformAWSECSRDSALBVPCIAMCloudWatchGitLinux
Soft Skills
CollaborationProblem-SolvingDocumentation
Tools & Technologies
GitHub ActionsAI ServicesOperational RunbooksMonitoring QueriesDeployment Workflows
Industry Keywords
Reliability EngineeringObservabilityService-Level BaselinesDisaster RecoveryCloud Security Best Practices
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDockerDynamoDBLinuxPythonTerraform
About the role
Key responsibilities & impact- Ensure the reliability, scalability, and performance of critical platforms and services
- Lead complex reliability initiatives and drive automation to reduce operational toil
- Use observability, incident response, and distributed systems expertise to identify and resolve reliability challenges
- Design and implement solutions that improve service availability, streamline operations, and enhance system recovery capabilities
- Hold a high bar on code quality and flag risks and blockers early
- Collaborate with host-function stakeholders to ensure solutions fit real workflows
- Support handover and capability-building so solutions remain owned and operable
- Create monitoring queries and establish service-level baselines
- Support senior engineers during incidents
- Contribute to post-mortems and root-cause analyses
- Participate in disaster recovery tests
- Implement automation and execute code in production environments
- Contribute to SRE knowledge documentation
- Support deployment, monitoring, and reliability of services integrating AI tools
- Support infrastructure topology drawings and deployment workflows
- Test availability, reliability, and recoverability in non-production environments
Requirements
What you’ll need- Advanced Terraform expertise, including modules, providers, state management, lifecycle controls, drift detection, safe refactoring, remote state, locking, and cross-stack dependencies
- Hands-on experience managing production, multi-account, multi-region AWS environments
- Experience with ECS, RDS, ALB, VPC, IAM, Route53, ECR, S3, Lambda, DynamoDB, SQS, Secrets Manager, KMS, and CloudWatch
- Experience building and troubleshooting reusable GitHub Actions workflows, OIDC authentication, approval gates, runners, Terraform deployments, application deployments, and migration pipelines
- Knowledge of Docker, ECR, ECS task definitions and services, IAM roles, health checks, autoscaling, ALB integration, and deployment rollbacks
- Proficiency in AWS networking and security, including VPCs, ALBs, Route53, ACM/TLS, IAM, OIDC, Secrets Manager, KMS, and cloud security best practices
- Incident response and observability skills using logs, metrics, alarms, deployment history, root cause analysis, rollback decisions, and operational runbooks
- Strong Linux and Git fundamentals
- Bash/Python scripting for AWS CLI automation, CI/CD, and operational tooling
- Hands-on experience integrating and operating AI services and APIs in production, including monitoring, reliability, and security practices
- Ability to support multiple engineering teams, troubleshoot across infrastructure and application layers, document solutions, and enable secure self-service practices
Benefits
Comp & perks- Annual incentive bonus
- Country specific benefits
- Reasonable accommodation and adjustment support during hiring
