Lead Software Engineer, DevOps

Sedaro

Arlington (VA)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Equity
Unlimited PTO
401(k) with 4% match
100% premium payment for Medical保险

Job summary

Sedaro is hiring a Lead DevOps Engineer to build a culture of operational excellence in Arlington, VA. You will integrate CI/CD, security, and observability tools for a Kubernetes-based multi-cloud environment and rally teammates toward best practices.

You will optimize production infra, design observability with actionable alerts and SLOs, and drive automation via IaC and CI/CD while promoting Lean, continuous improvement.

Qualifications

  • Bachelor's degree in computer science or equivalent experience.
  • 3+ years of professional software engineering experience.
  • Experience with cloud infrastructure and distributed systems architecture.
  • Experience implementing CI/CD, infrastructure as code, and observability practices.
  • Proficiency in scripting and automation.

Responsibilities

  • Optimize multi-cloud production infrastructure for security, reliability, and cost efficiency.
  • Design and implement system observability with actionable alerting and measurable SLOs.
  • Drive automation through infrastructure as code, CI/CD, and continuous compliance.
  • Foster Lean practices and a culture of continuous improvement.

Skills

CI/CD practices
Observability
Automation
Scripting
Distributed systems
Cloud infrastructure
Incident response
Security controls
Kubernetes
Docker
Terraform CDKTF
AWS/Azure

Education

Bachelor's degree in computer science

Tools

Kubernetes
Docker
Terraform CDKTF
AWS
Azure

Job description

Overview

Sedaro is hiring a Lead DevOps Engineer to build our culture of operational excellence. In this role, you will integrate CI/CD, security, and observability tools and automation for our Kubernetes-based multi-cloud environment, as well as rallying your teammates toward best practices.

  • Team: DevSecOps Enablement, reporting to the Director of Engineering
  • Location: In person in Arlington, VA
  • U.S. Citizen or permanent resident status required
Who We Are

Our cloud-native simulation platform enables digital mission engineering through distributed, scalable, faster than real-time analyses across hundreds of interacting systems. We use CI/CD, Docker, Terraform, and Kubernetes to achieve high availability, security, and autoscaling across cloud providers. Join us as an early employee and transform how teams collaboratively engineer the next generation of Aerospace & Defense systems.

Who You Are
  • You see beauty in a well-oiled machine
  • You take ownership of technical challenges and celebrate team wins
  • You thrill in equipping your teammates with force-multiplying tools and practices
  • You embrace experimentation and autonomy without compromising quality
  • You’re energized by deep learning and sharing knowledge across disciplines
What You’ll Do
  • Optimize multi-cloud production infrastructure for security, reliability, and cost efficiency
  • Design and implement system observability with actionable alerting and measurable SLOs
  • Drive automation through infrastructure as code, CI/CD, and continuous compliance
  • Foster Lean practices and a culture of continuous improvement
Benefits
  • Equity
  • Unlimited PTO
  • 401(k) with 4% match
  • 100% premium payment for Medical Insurance
  • Parental Leave
  • Flexible work schedule with core hours
  • Company provided lunches 3 days a week
  • Industry-leading career development opportunities
Requirements
  • Bachelor’s degree in computer science or equivalent experience
  • 3+ years of professional experience in software engineering
  • Experience with cloud infrastructure and distributed systems architecture
  • Experience implementing CI/CD, infrastructure as code, and observability practices
  • Proficiency in scripting and automation
Additional desirable experience:
  • Track record implementing security controls and vulnerability management
  • Experience leading incident response and root cause analysis
  • Experience with Kubernetes, Docker, and Terraform CDKTF
  • Experience with AWS and/or Azure
  • Experience with IL4/5+ and/or /or
    NIST 800-171
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