or apply directly on Scale AI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 35 days Scale AI's roles stay open a median of 66 days
- Reposted
- No
- Salary listed
- No 2% of Scale AI's roles list one
- Ghost-job risk at Scale AI
- high 192 stale, 5 reposted of 217 open
- Hiring momentum
- 270 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-08
Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.
About this role
As an Infrastructure Software Engineer on the Apps Platform team, you will focus on building and evolving the deployment and observability layers of the platform across various cloud providers and on-premises environments. Your responsibilities include expanding the deployment footprint, ensuring secure and reproducible deployments, enhancing observability, and collaborating with internal teams to address their needs and issues. You will also lead architecture reviews and manage projects from design to deployment in a dynamic setting.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.
What you need
- 5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI and on-premises
- Deep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewalls
- Deep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker)
- Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI
- Experience with GitOps-style deployments and a track record of ensuring consistent, repeatable deployments
- Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems
Nice to have
- Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end
- Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks)
- Open-source contributions to systems or developer-tools projects
- History of on-call/incident response for production systems
Worth weighing
- No salary listed
- Role involves responding to incidents and production issues, which may require urgent attention and flexibility
- The job requires comfort with ambiguity and context-switching, indicating a potentially fast-paced and dynamic work environment
Summarised from Scale AI's posting. Read the full original.
Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.
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