ApplySarthiInfrastructure Software Engineer, Apps Platform
Scale AI
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1,995 open infrastructure roles across 254 companies are on ApplySarthi right now, most of them in Bengaluru (64), Hyderabad (26), Delhi NCR (13).
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What infrastructure roles keep asking for: AWS (30%), Python (21%), System design (21%), Kubernetes (21%), Observability (18%), Terraform (14%), CI/CD (14%), GCP (12%) — counted across their open postings here.
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Scale AI has 200 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for infrastructure roles keep coming back to AWS, Python, System design, Kubernetes. Practise those questions before you sit with Scale AI.
Questions you are likely to be asked
- Why do you want to join Scale AI?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- Walk me through how code gets from a commit to production where you work.
- Tell me about an outage you handled. What did you learn from it?
- How do you decide what to monitor, and what should wake someone up at night?
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Practise the Infrastructure Software Engineer, Apps Platform at Scale AI interview free →Infrastructure Software Engineer, Apps Platform, London
As an Infrastructure Engineer on the Apps Platform Infrastructure team, you'll help build and evolve our platform’s deployment and observability layers across multiple cloud providers and on-premises, for both internal and customer-managed environments. This is a role for someone who cares about building cloud-agnostic infrastructure and deployment pipelines.
You'll partner closely with internal teams to understand how they use and deploy the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture.
You will:
- Expand the deployment footprint of our platform to cover both on-premise, all major cloud platforms and beyond
- Ensure fast, secure, and reproducible deployments across all supported CSPs and on-prem
- Expand the observability of the platform so that forward deployed infrastructure teams can easily and efficiently operate customer deployments
- Partner closely with internal teams deploying the platform to understand their needs, debug issues, and build tooling that serves their use cases
- Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes
- Help develop and maintain a product roadmap for deployment and observability
- Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings
Ideally you'd have:
- 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
- Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development
Nice to haves:
- 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
PLEASE NOTE: 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.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
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 accommodations@scale.com. 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.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Listed on greenhouse · posted 2026-09-02. ApplySarthi collects openings and links to application pages; the role is advertised by Scale AI, not by us.