Jobs / United States / Scale AI INC
DevOps Engineer, Infrastructure & Security
Scale AI INC · 🇺🇸 Washington, DC
Sponsorship verdict
Posting rules out sponsorship
The posting rules out sponsorship or requires citizenship/clearance.
- Employer is on a government sponsor recordThe US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Scale AI INC paid sponsored hires in similar roles29 certified filings for “Software Engineer” (Software Developers) in CA: $210k–$235k, median $216k. Most were filed at wage level II (34%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Security clearance mentionedFrom the posting’s own wording.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Why not apply?
The posting mentions a security clearance — usually restricted to citizens of that country.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Scale AI INC
The US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Scale AI INC →
About the role
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. You will: • 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. Ideally you'd have: • 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 fo