Software Engineer, Infrastructure Reliability

Software Engineer, Infrastructure Reliability

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Doist

At a Glance

  • Tasks: Design and operate reliable systems that power cutting-edge AI technologies.
  • Company: Join a leading tech company focused on AI infrastructure and innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on collaboration and continuous improvement.
  • Why this job: Make a real impact on global-scale AI systems and collaborate with top talent.
  • Qualifications: 4+ years in software engineering with expertise in distributed systems and cloud infrastructure.

The predicted salary is between 60000 - 80000 £ per year.

About the Team

We're hiring software engineers to join our broader Infrastructure organization, which supports multiple high-impact teams.

Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Databases, Observability, or Cloud Infrastructure.

All teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across Open AI.

About the Role

You’ll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world.

You’ll help ensure our systems are highly reliable, observable, performant, and secure—so researchers can iterate quickly, and products like Chat GPT and the Open AI API can serve millions of users safely and effectively.

This is a hands‑on, high‑leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting‑edge research and deploy at global scale.

You’ll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms.

In this role you will

  • Design, build, and operate reliable and performant systems used across engineering.
  • Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude.
  • Dig deep to resolve complex issues.
  • Continuously improve automation to reduce manual work.
  • Improve internal tooling and our developer experience.
  • Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.

You might thrive in this role if you

  • Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.
  • Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally‑distributed systems.
  • Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms.
  • Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks.
  • Are experienced in collaborating with cross‑functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.
  • Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
  • Own problems end‑to‑end, and are willing to pick up whatever knowledge you're missing to get the job done.
  • Are comfortable with ambiguity and rapid change.

Qualifications

  • 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead.
  • A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.
  • Proven experience as a reliability engineer, production engineer, or a similar role in a fast‑paced, rapidly scaling company.
  • Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and Ia C tools such as Terraform.
  • Proficiency in programming / scripting languages.
  • Experience with containerization technologies and container orchestration platforms like Kubernetes.
  • Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk, and ELK stack.
  • Experience with microservices architecture and service mesh technologies.
  • Knowledge of security best practices in cloud environments.
  • Strong understanding of distributed systems, networking, and database technologies.
  • Excellent problem‑solving skills and ability to work in a fast‑paced environment.
  • Equal Opportunity Employer

We are an equal‑opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Reasonable Accommodations

We are committed to providing reasonable accommodations to applicants with disabilities.

Background Checks

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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Software Engineer, Infrastructure Reliability employer: Doist

Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.

Doist

Contact Details:

Doist Recruitment Team

We think you need these skills to ace Software Engineer, Infrastructure Reliability

Distributed Systems Principles
Performance Optimization
Kubernetes
Cloud Infrastructure (AWS, GCP, Azure)
Infrastructure as Code (Terraform)
CI/CD Pipelines
Observability Tools (Datadog, Prometheus, Grafana, Splunk, ELK stack)