> Markdown version of [/jobs/ext/2021484-software-engineer-infrastructure-organization](https://www.wearedevelopers.com/jobs/ext/2021484-software-engineer-infrastructure-organization). 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, Infrastructure Organization - **Company:** Datology AI, Inc. - **Location:** Redwood City, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $180,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Data Infrastructure, Software Debugging, Python (Programming Language), Network Troubleshooting, Machine Learning, Microsoft Software, Systems Development Life Cycle, Memory Leaks, Software Engineering, Scripting, Google Cloud, Build Management, Kubernetes, Terraform - **Published:** August 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-infrastructure-redwood-city-ca--f682b352-850a-45ac-9a55-86615c25c8ca ## About the Role * 4+ years of relevant experience * Have meaningful experience in spearheading and constructing large-scale infrastructure * Proficiency in bash, Kubernetes, Python, and/or Terraform or similar technologies * Have experience working with AWS, other cloud platforms such as Azure or GCP and/or on-prem environments * Have expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks * Take pride in building and operating scalable, reliable, secure systems * 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 We would love it if you had: * Built out data infrastructure from, or nearly from, scratch at a fast-growing startup. * Experience building ML/DL infrastructure and/or data infrastructure that feeds into training large ML models Don't meet every single requirement? We still encourage you to apply. If you're excited about our mission and eager to learn, we want to hear from you!, Amazon Web Services (AWS), Artificial Intelligence (AI), Bash Scripting, Cloud Computing, Cost Modeling, Data Modeling, GCP (Good Clinical Practices), Machine Tool, Microsoft Product Family, Microsoft Windows Azure, Power Amplifier, Python Programming/Scripting Language, Scalable System Development, Software Engineering, Startup, Training/Teaching ## Description We're looking for an experienced Infrastructure Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our data infrastructure capabilities, including multi-cloud support and support for various deployment models, as well as training and inference infrastructure. You will have a broad impact on the technology, product, and our company's culture. What You'll Work On * Design and build the development and production platforms that power our products, enabling reliability and security at scale * Architect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment models * Accelerate company productivity by empowering your fellow engineers & teammates with excellent tooling and systems, providing a best-in-case experience * Partner with researchers and engineers to bring new features and research capabilities to our customers ## Related Videos - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [JavaScript? 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