Cloud Engineer jobs in United States

🚀 We’re on a mission to make real estate transactions smarter, faster, and friction-free.

🏢 Real estate is the world’s largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence.

🤖 That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision.

🤝 We're trusted by leading firms like Goodwin, BCLP, and Ropes & Gray to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster.

💡 Working at Orbital means joining a team that’s reimagining how real estate transactions get done – moving fast, working collaboratively, and giving people the ownership to make a real impact from day one.

We’re hiring our second SRE to help scale our platform and reliability efforts. This role offers an exciting opportunity to help design, implement, and manage our infrastructure, CI/CD pipelines, and production operations from the ground up. You’ll have autonomy in shaping our tech stack, defining best practices, and building scalable systems that will set the foundation for future engineering growth. If you thrive in startup environments and enjoy the blend of software engineering, operations, and infrastructure, we’d love to hear from you.

You’ll get a chance to: 👩💻 👨💻

• Set Up and Manage Infrastructure:

  • Design, build, and maintain a robust, cloud-based infrastructure on Azure.

  • Develop and maintain infrastructure as code (IaC) using tools like Terraform.

  • Have ownership of our system’s reliability and scalability, laying a strong foundation for our engineering environment.

• Deploy and Orchestrate Containers:

  • Use k8s and Docker to manage containerised applications, ensuring high availability, scaling, and resource optimisation.

  • Set up and manage k8s clusters to support reliable and scalable infrastructure.

• Develop CI/CD Pipelines:

  • Design and implement CI/CD pipelines to automate our build, test, and deployment processes.

  • Collaborate with development teams to streamline code integration and ensure high-quality releases across the board.

• Implement Monitoring and Incident Management:

  • Set up proactive monitoring, logging, and alerting systems to detect and resolve issues before they impact users.

  • Develop and refine incident response protocols and conduct root cause analyses to continuously improve system reliability.

• Foster Collaboration and Knowledge Sharing:

  • Work closely with cross-functional teams, especially software engineering, to instil and grow a DevOps culture.

  • Document processes, systems, and configurations to ensure scalability and facilitate knowledge sharing as the team grows.

You should apply if: ✍️

• You have the experience and technical skills to build a solid foundation:

  • 4+ years in a DevOps, SRE, or related role with hands‑on experience building and maintaining infrastructure.

  • Expertise with a major cloud provider (preferably Azure).

  • Proficiency with Infrastructure as Code (IaC) tools and Kubernetes ecosystem tools, such as Terraform, Kubernetes, and FluxCD.

  • Solid experience with Docker and Kubernetes for container management.

  • Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI, GitHub Actions) and experience setting up automated workflows.

  • Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or DataDog.

  • Strong scripting skills (Python, Bash, or similar) for automation and tooling.

• Software Engineering Experience:

  • Minimum of 2 years of professional experience in software engineering, with a focus on Python as a primary programming language.

  • Proficiency in writing clean, scalable, and efficient Python code, adhering to best practices and design principles.

• Python Development Expertise:

  • Strong understanding of Python libraries, frameworks, and modules relevant to SRE, such as Flask, Django, or FastAPI for building resilient services and applications.

  • Familiarity with Python’s async capabilities and experience working with asynchronous programming to optimise system performance.

• You’re motivated by ownership and impact:

  • You’re ready to take ownership of critical systems and be the go‑to person for system reliability.

  • You enjoy solving complex technical challenges and proactively seek solutions.

• You have strong collaboration and communication skills:

  • You can work effectively with stakeholders, document processes clearly, and explain technical concepts to non‑technical team members.

• Competitive starting salary of £82,000 - £104,000

• Matched pension contributions and equity options in a fast growing start‑up

• Flexible working hours and location

• 25 days paid holiday (plus bank holidays)

• Professional equipment and personal development budget along with training opportunities to learn and develop your skills

• Cycle‑to‑work scheme

• An inclusive community enjoying all‑company off‑sites, lunches and socials

🔒 Security is everyone’s responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on.

💡 At Orbital, we’re committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don’t meet every single requirement, or if the right role isn’t listed yet, we’d still love to hear from you.

💰 This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job‑related knowledge, skills, experience, and business requirements.