[Remote] Principal Software Engineer, DevOps

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

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