Senior Site Reliability Engineer

Anduril Industries

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$166,000–$220,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k
This role $193k
$121k most similar roles pay here $231k

This role pays more than 77% of similar roles. Most pay $139,100–$193,000 — the shaded band above. At the midpoint, this role pays about $193k versus about $166k for comparable roles.

Based on 239 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Senior Site Reliability Engineer

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As a Senior Site Reliability Engineer on the Maritime Digital Shipbuilding team, you will be responsible for building and maintaining CI/CD pipelines using GitHub Actions and Jfrog Artifactory to ensure seamless integration and deployment of machine learning models and applications. You’ll also automate infrastructure with Terraform and Ansible, implement containerization solutions with Docker, and manage Kubernetes for reliable application deployment across cloud platforms like Azure or AWS. Additionally, you will set up model registries and feature stores using MLflow and Kubeflow, establish comprehensive monitoring and logging solutions with tools such as the ELK Stack and Prometheus, and collaborate closely with cross-functional teams to optimize performance and ensure system stability in a high-tech, fast-paced environment focused on solving real-world problems.

Skills

GitHub Actions Jfrog Artifactory Terraform Ansible Azure AWS GCP Docker Kubernetes MLflow Kubeflow ELK Stack Prometheus Grafana CUDA OpenCL CI/CD

What you'll do

  • Build and manage CI/CD pipelines using GitHub Actions and Jfrog Artifactory.
  • Automate infrastructure provisioning with Terraform on cloud platforms like Azure or AWS.
  • Implement containerization solutions with Docker and orchestrate containers using Kubernetes.
  • Set up model registries and feature stores for efficient deployment of machine learning models.
  • Establish comprehensive monitoring and logging solutions using Prometheus and Grafana.
  • Optimize performance by utilizing parallel computing frameworks such as CUDA and OpenCL.

What we're looking for

  • Advanced proficiency in Python for scripting and integration.
  • Experience with CI/CD tools including GitHub Actions, Jfrog Artifactory, and Git.
  • Expertise in cloud platforms such as Azure, AWS, or GCP.
  • Knowledge of model registries (MLflow) and feature stores (Kubeflow).
  • Proficiency with logging and monitoring tools like ELK Stack, Prometheus, Grafana.
  • Understanding of parallel computing frameworks including CUDA and OpenCL.
  • Strong collaboration skills and experience with JIRA and Confluence.

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