DevOps Engineer, Infrastructure & Security

Scale AI; Washington (District of Columbia); On-site; USD 178,400 - 279,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Learning stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is seeking DevOps Engineers for the Public Sector to advance our CI/CD pipelines and automate our SDLC. You will work across products to streamline deployments, integrating ML tasks into a cohesive workflow and improving security practices.

You will collaborate with product and engineering teams to enhance code for automated pipelines and contribute to deployment architectures. A fast-paced environment and a drive to learn ML-enabled workflows are essential.

Qualifications

• Experience designing and maintaining CI/CD pipelines.
• Ability to integrate ML components into SDLC workflows.
• Strong collaboration with product and engineering teams to improve deployment automation.

Responsibilities

• Design, develop, and maintain robust CI/CD pipelines for low/high side products.
• Collaborate with teams to improve deployment of existing code within automated pipelines.
• Contribute to architecture of deployment systems for efficiency and reliability.
• Troubleshoot deployment issues to minimize impact on development cycles.
• Understand ML architectures to support integration into pipelines.
• Document pipelines and configurations for maintainability.
• Incorporate security best practices across the SDLC.
• Drive standardization across product teams for unified processes.

Skills

CI/CD

Kubernetes

Terraform

Docker

Python

Bash

PowerShell

Jenkins

GitHub Actions

Azure DevOps

Tools

Kubernetes

Terraform

Docker

Jenkins

GitHub Actions

Azure DevOps

Job description

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system.

These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential.

Must have

• At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance.

Responsibilities

• Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products.
• Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.
• Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability.
• Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.
• Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment.
• Document pipeline processes and configurations to ensure maintainability and knowledge transfer.
• Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes.
• Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC.

Preferred qualifications

• 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role.
• Proven track record of building or significantly enhancing CI/CD pipelines.
• Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell).
• Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
• Knowledge of software architecture, system design, and version control systems.
• Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems.
• Basic understanding of security best practices in software development and an eagerness to integrate them.
• A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows.
• Strong problem-solving, analytical, collaboration, and communication skills.

Nice to haves

• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Exposure to machine learning lifecycles or MLOps concepts.
• Prior experience in classified environments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Pay Transparency: Base salary range for this full‑time position in the locations of San Francisco, New York, Seattle: $198,400—$311,000 USD.

Pay Transparency: Base salary range for this full‑time position in the locations of Hawaii, Washington DC, Texas, Colorado: $178,400—$279,000 USD.

Pay Transparency: Base salary range for this full‑time position in the location of St. Louis: $148,800—$233,000 USD.

Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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