Note: The job is a remote job and is open to candidates in USA. Legion Technologies delivers an AI-driven workforce management platform designed to improve labor efficiency and employee engagement. The Principal Software Engineer, DevOps will build and operate secure, scalable, cost-effective AWS/Kubernetes infrastructure, develop automation and observability capabilities, support production operations, and create reliable AI-agent platforms for SRE and engineering use.
Responsibilities
- Support Legion’s public cloud platform, utilizing multiple cloud services and containerization
- Develop infrastructure automation leveraging Terraform, Chef, Jenkins, and Golang
- Create and manage production alerts. Respond to alerts and conduct a root-cause investigation
- Develop automated operational runbooks
- Support the deployment of Legion’s WFM solution during and off regular office hours
- This role involves participation 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 lets other engineers build agents safely: sandboxed execution, scoped credentials, tool/MCP integrations, cost controls, and agent observability
Skills
- 12+ years experience in SRE, DevOps, or other SaaS operations
- 3+ years of hands-on experience with 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 one or more Infrastructure automation (Terraform, Ansible, etc.), CI/CD pipelines (GIT, Jenkins, etc.), and configuration management tools (Ansible, Chef, etc)
- 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 — tool integrations, evaluation, and failure handling — beyond use of AI coding assistants
- Bachelors or Masters degree in Computer Science/Engineering or related field
- Track record of introducing AI into an engineering org's SDLC with measurable results, and the judgment to name where it should not be used
- 3+ years of experience with observability tools: Splunk, Nagios, Elasticsearch, Kibana, CloudWatch, and Logstash and ways to scale these systems
- 3+ years of experience in AWS RDS or Aurora MySQL
- Demonstrated ability to work with remote teams
- AWS Certification
Benefits
- Stock Equity
- $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 work
Company Overview
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