Senior Software Engineer, DevOps

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
$105k most similar roles pay here $232k

This role pays more than 74% of similar roles. Most pay $135,000–$197,287 — the shaded band above. At the midpoint, this role pays about $193k versus about $166k for comparable roles.

Based on 240 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 Software Engineer, DevOps

As a Senior Software Engineer, DevOps on the Maritime Digital Shipbuilding team, you will develop and manage CI/CD pipelines using tools like GitHub Actions and Jfrog Artifactory to ensure seamless integration and deployment of machine learning models and applications. You’ll utilize Terraform and Ansible for infrastructure as code (IaC) automation on cloud platforms such as Azure, AWS, or GCP, while implementing containerization solutions with Docker and Kubernetes for reliable application deployment and scaling. Additionally, you will set up model registries and feature stores like MLflow and Kubeflow, establish comprehensive monitoring and logging solutions using ELK Stack, Prometheus, and Grafana, and collaborate closely with development, data science, and operations teams to optimize performance through parallel computing frameworks such as CUDA and OpenCL. This role requires advanced proficiency in Python, experience with CI/CD tools, cloud platforms, model registries, logging and monitoring tools, and strong collaboration skills.

What you'll do

  • Build and maintain 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 manage orchestration via Kubernetes.
  • Set up model registries and feature stores for efficient deployment of machine learning models.
  • Establish comprehensive monitoring and logging solutions using ELK Stack, Prometheus, and Grafana.
  • Optimize high-performance computing tasks using parallel computing frameworks like 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 Google Cloud Platform (GCP).
  • Knowledge of model registries and feature stores like MLflow and Kubeflow.
  • Proficiency with logging and monitoring tools including ELK Stack, Prometheus, and Grafana.
  • Understanding of parallel computing frameworks such as CUDA and OpenCL.
  • Strong collaboration skills and experience with collaborative tools like JIRA and Confluence.

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