R
Rad AI
Senior Software Engineer (Infrastructure)
Skills
Google Cloud PlatformPythonData ScienceAmazon EC2AWS LambdaMachine LearningAWSLinuxKubernetesHadoopTerraformAzure
1 month ago
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Important information
Contract type:
Permanent
Salary:
$160,000 – $185,000 / year
Location:
United States
Work mode:
Onsite
Published on:
15 September 2026
What they need
- We’re hiring a Senior Infrastructure Engineer with a focus on DevOps to help us design and operate robust, scalable systems
- In this role, you’ll contribute to infrastructure architecture, reliability practices, and thoughtful improvements to our workflows
- Architect and build platform infrastructure using container orchestration (preferably Kubernetes), serverless applications (e.g., AWS Lambda), virtual machines such as EC2 (or equivalents in Google Compute Engine on GCP or Microsoft Azure), and databases
- Collaborate with engineering leadership, machine learning, data science, and product partners to help shape our platform vision
- Develop and maintain tooling that improves engineering productivity and developer experience
- Promote sustainable incident response and lead blameless post-incident reviews
- Manage network and systems monitoring, design alert strategies, and participate in an equitable on‑call rotation
Benefits
- 100% health, dental, & vision
- Flexible PTO
- WFH stipend
- 401k plan
- Stock options
- Socials & off-sites- Clear, respectful communication and collaboration skills, including organizing work, delegating when appropriate, and giving/receiving feedback
- A data‑informed approach and a track record of effective problem solving
- Proficiency in one or more languages—Python (preferred) and/or Bash—and familiarity with Infrastructure as Code (IaC) tools such as Terraform or Pulumi
- Strong familiarity with AWS and/or GCP services
- Experience designing complex systems and mentoring others in technical design
- Networking fundamentals and comfort working in command‑line Linux environments
- Demonstrated expertise and deep practical knowledge typically gained from 6+ years of infrastructure experience, or equivalent practical experience through non-traditional paths, training, or project work
- Ability to scope project-level work, execute independently, and bring projects to completion while collaborating with teammates
- Proficiency in deep Linux troubleshooting, including debugging kernel and driver issues
- Background in healthcare, security, or machine learning
- Experience in regulated environments (e.g., HIPAA) or at early‑stage startups
- Familiarity with HL7 or radiology workflows
- Familiarity with Graylog or similar logging services
- Experience with OpenTelemetry or similar tracing services
- Experience with Spark (e.g., EMR, Dataproc, HDInsight) and Hadoop‑related technologies
- If you’re passionate about building resilient platforms and enjoy collaborating across functions, we’d love to hear from you
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