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Software Engineer, Infrastructure

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Sierra
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

About us

  • At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in‑person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Singapore, and Japan.

  • We are guided by a set of values that are at the core of our actions and define our culture:
    Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.

  • Our co‑founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co‑CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google’s earliest product managers and co‑creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs.

    Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.

What you’ll do

As a Software Engineer, Infrastructure at Sierra, you will be responsible for designing, building, and maintaining the core systems that make our AI platform possible. You’ll focus on making Sierra’s infrastructure secure, reliable, and scalable, enabling product teams to deliver with speed and confidence.

  • Ensure the reliability, scalability, and performance of our platform and LLM inference serving as we rapidly grow traffic.

  • Build and maintain cloud infrastructure using Terraform to ensure scalable, secure, and reproducible environments.

  • Create and maintain a self‑serve infrastructure platform that enables the rest of engineering to deploy and operate services.

  • Own and evolve CI/CD pipelines and release management, enabling fast, reliable deployments for Sierra’s platform.

  • Architect and operate distributed systems that leverage distributed databases, retrieval systems, and ML models.

  • Develop and maintain core data serving abstractions along with authentication and security features (SSO, RBAC, authentication controls).

  • Navigate and integrate our stack with enterprise customer environments in scalable and maintainable ways.

  • Enhance observability tooling (metrics, logging, tracing) to provide deep visibility into platform health and performance.

  • Lead and participate in incident management, improving system resilience through proactive monitoring, root cause analysis, and postmortems.

What you’ll bring
  • Strong software engineering background with 5–7+ years of hands‑on development experience in highly technical products.

  • A strong inclination towards building automation, tooling, and platform, along with designing maintainable systems.

  • Proven experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform preferred).

  • Hands‑on expertise in CI/CD systems, release management, and container orchestration (e.g., Docker, Kubernetes).

  • Experience with observability tools (Prometheus, Grafana, Datadog, Open Telemetry, etc.).

  • Experience in incident response and operating distributed systems in production.

  • Degree in Computer Science or related field, or equivalent professional experience

Even better…
  • Production experience working with LLMs and machine learning models.

  • Background in distributed systems, running SaaS services at scale, and agentic architecture.

  • Familiarity with security and authentication protocols (OAuth, SSO, mTLS).

  • Previous experience in a fast‑paced startup environment or platform/infra‑focused team.

Our values
  • Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.

  • Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.

  • Craftsman…

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