We are looking for a Senior DevOps Engineer to own the infrastructure that keeps a fast-growing applied AI and data analytics platform running at enterprise scale. You will architect, build, and maintain the cloud systems that Fortune 500 retailers trust with their most critical data and decision-making. This is a hands-on, high-ownership role — you will work closely with backend and ML engineers to ensure the platform is secure, scalable, and relentlessly reliable. A key part of the role is taking over infrastructure leadership from the current DevOps lead over a transition period, then owning that domain long-term. Over time, you will also be involved in growing the DevOps team, though the immediate priority is hands-on technical execution. The platform connects an organization's entire data landscape — internal systems, social media trends, industry reports, consumer behavior signals — into a single coherent intelligence layer. It drives 8-figure improvements in gross margins for Fortune 500 retailers. As enterprise onboarding ramps up, the infrastructure must scale to match. The team believes in GitOps, infrastructure as code, and building systems that let engineers move fast without breaking things. You will be the person who makes that real — standing up infrastructure, defining reliability targets, automating manual processes, and owning production incidents end-to-end. Former technical founders are a strong fit: what you've built matters more than tenure.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed