> Markdown version of [/jobs/ext/4634600-software-engineer-cloud-infrastructure](https://www.wearedevelopers.com/jobs/ext/4634600-software-engineer-cloud-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Cloud Infrastructure - **Company:** Applied Intuition - **Location:** Sunnyvale, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $126,000.0 - $186,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, C++ (Programming Language), Cloud Computing, Computer Programming, Continuous Integration, Python (Programming Language), Open Source Technology, Software Maintenance, Shell Script, Software Deployment, Software Engineering, Google Cloud, Cloud Platform System, ReactJS, Backend, Kubernetes, Information Technology, Docker, Golang, Data Generation - **Published:** November 8, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-cloud-infrastructure-sunnyvale-ca--4f3019b8-cc0f-4eca-bf20-54111b3fc768 ## About the Role Software Engineering, Cloud Computing, Agriculture, Construction, Artificial Intelligence (AI), United States Military, Operating Systems, Trucking, Mining Industry, Automotive Repair and Maintenance, * A Bachelors degree in Computer Science, Software Engineering, or equivalent * 3+ years of experience in a software engineering role working on infrastructure, monitoring, or a large scale software product * 3+ years of coding experience from shell scripting (e.g., Bash) to higher-level languages (e.g., Python, C++) * Experience with microservice orchestration frameworks such as Kubernetes * Experience in the following: Golang, Python, Java, React, and C++ * Experience working with containerized systems (e.g., Docker) Nice to have: * Experience utilizing open source tooling * Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters ## Description We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role Modern autonomous system development is heavily reliant on daily, realistic, and large scale simulations to test constant software changes. Join our cloud platform team to ensure were building efficient and reliable systems for managing these large-scale workloads. As a cloud infrastructure engineer youll be improving the development and deployment of our large-scale simulation infrastructure. The compute and data generation scale of our product workloads pushes the boundaries of standard cluster deployments, and youll be at the forefront of helping build out and ensure reliability of this system. All while ensuring the deployment infrastructure is interoperable with various custom autonomy software and infrastructure used across the world. You will work closely across the entirety of the engineering team to ensure the operational success of our backend and a variety of customer deployments. At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture. At Applied Intuition, you will: * Create and implement best practices for deploying and maintaining software for multiple customers across all three major cloud providers (AWS, GCP, Azure) with minimal downtime and high reliability * Monitor Applied Intuition software on deployed machines and architect solutions to any bottlenecks that are encountered * Improve developer efficiency by building internal tooling and optimizing our CI/CD systems