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Salary: USD 220,000 - 255,000 / annual
Legion Technologies is seeking a Principal Software Engineer, DevOps to build and operate the infrastructure, tooling, and services that power their cloud platform. You will take ownership of Legion's AWS/Kubernetes-based cloud infrastructure and lead the site reliability engineering function.
Key responsibilities include:
- Design and operate Legion's public cloud platform using AWS services and containerization
- Develop infrastructure automation using Terraform, Chef, Jenkins, and Golang
- Create and manage production alerts, respond to incidents, and conduct root-cause investigations
- Develop automated operational runbooks and support deployment of Legion's WFM solution during and outside regular office hours
- Participate in on-call rotation
- Build and operate internal AI agents that reduce SRE toil (incident triage, runbook execution, alert enrichment, capacity and cost analysis) and own their guardrails, rollback, and reliability
- Own the platform that enables other engineers to build agents safely, including sandboxed execution, scoped credentials, tool/MCP integrations, cost controls, and agent observability
About Legion: Legion Technologies delivers an AI-driven workforce management platform for hourly workers. The company is remote-first, mission-driven, and focused on turning hourly jobs into good jobs. Legion's platform has demonstrated 13x ROI through schedule optimization, reduced attrition, and increased productivity.
REQUIREMENTS:
- 12+ years experience in SRE, DevOps, or other SaaS operations
- 3+ years hands-on experience managing AWS services and cloud infrastructure using Terraform (AWS Certification preferred)
- 3+ years experience with containerized cloud solutions (Docker, Kubernetes, AWS EKS); familiarity with HELM charts
- 5+ years experience with at least one programming language (Go, Python, Bash, Perl)
- 5+ years experience with infrastructure automation (Terraform, Ansible, etc.), CI/CD pipelines (GIT, Jenkins, etc.), and configuration management tools (Ansible, Chef, etc.)
- Hands-on experience with Linux/Unix platforms (RedHat/CentOS/Ubuntu/Amazon Linux)
- Hands-on experience building agentic AI systems in production (tool integrations, evaluation, failure handling) beyond AI coding assistants
- Bachelor's or Master's degree in Computer Science/Engineering or related field
PREFERRED QUALIFICATIONS:
- Track record of introducing AI into an engineering org's SDLC with measurable results and judgment about where it should not be used
- 3+ years experience with observability tools (Splunk, Nagios, Elasticsearch, Kibana, CloudWatch, Logstash) and scaling these systems
- 3+ years experience with AWS RDS or Aurora MySQL
- Demonstrated ability to work with remote teams
