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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Site Reliability Engineering (SRE) and DevOps practices, with a strong focus on cloud infrastructure management, automation, and AI integration. Proficient in utilizing tools like Terraform, Docker, and AWS services to enhance operational efficiency and reliability.
Highest-signal resume keywords
12+ Years Experience In SRE, DevOps, Or SaaS Operations3+ Years Managing AWS Services And Cloud Infrastructure Using Terraform5+ Years Experience With Infrastructure Automation And CI/CD PipelinesHands-On Experience With Containerized Cloud Solutions Using Docker And KubernetesAWS Certification Preferred
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TerraformGolangAWS ServicesInfrastructure AutomationCI/CD PipelinesLinux/Unix PlatformsObservability ToolsContainerizationProgramming LanguagesAI Systems
Soft Skills
Ability To Work With Remote Teams
Tools & Technologies
DockerKubernetesAWS EKSSplunkNagiosElasticsearchKibanaCloudWatchLogstashAWS RDS
Certifications & Qualifications
AWS Certification
Industry Keywords
Site Reliability EngineeringDevOpsSaaS OperationsInfrastructure AutomationCloud InfrastructureAI IntegrationProduction AlertsRunbook ExecutionIncident TriageCapacity Analysis
Tech Stack
Tools & technologiesAWSChefCloudDockerElasticSearchJenkinsKubernetesLinuxLogstashMySQLPerlPythonSDLCSplunkTerraformUnixGo
About the role
Key responsibilities & impact- Support Legion’s public cloud platform using multiple cloud services and containerization
- Develop infrastructure automation leveraging Terraform, Chef, Jenkins, and Golang
- Create and manage production alerts, respond to alerts, and conduct root-cause investigations
- Develop automated operational runbooks
- Support deployment of Legion’s WFM solution during and outside regular office hours
- Participate in an on-call rotation
- Build and operate internal AI agents to reduce SRE toil through incident triage, runbook execution, alert enrichment, capacity analysis, and cost analysis
- Own the platform enabling engineers to build agents safely, including sandboxed execution, scoped credentials, tool/MCP integrations, cost controls, agent observability, guardrails, rollback, and reliability
Requirements
What you’ll need- 12+ years experience in SRE, DevOps, or other SaaS operations
- 3+ years of hands-on experience managing AWS services and cloud infrastructure in AWS utilizing Terraform
- 3+ years experience with containerized cloud solutions utilizing Docker, Kubernetes, or AWS EKS
- Familiarity with HELM charts
- 5+ years experience with at least one programming language like Go, Python, Bash, Perl
- 5+ years experience with Infrastructure automation, CI/CD pipelines, and configuration management tools
- Hands-on experience with one or more Linux/Unix platforms like RedHat/CentOS/Ubuntu/Amazon Linux
- Hands-on experience building agentic AI systems in production, including tool integrations, evaluation, and failure handling
- Bachelor's or Master's degree in Computer Science/Engineering or related field
- AWS Certification preferred
- Track record of introducing AI into an engineering organization's SDLC with measurable results
- 3+ years of experience with observability tools including Splunk, Nagios, Elasticsearch, Kibana, CloudWatch, and Logstash
- 3+ years of experience in AWS RDS or Aurora MySQL
- Demonstrated ability to work with remote teams
Benefits
Comp & perks- $0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
- 401k plan
- Discretionary Paid Time Off and Paid Holidays
- Parental Leave
- Equity
- Monthly Wellness Reimbursement
- Monthly Lunch on Legion
- Fully remote employer
- Stock Equity
