Sr. Software Engineer (Agentic Access)
ImmutaRemote USAPosted 1 April 2026
Job Description
Immuta is the Data Provisioning Company, helping organizations provision secure, governed data access at the speed modern business demands. We automate access by policy and by request—eliminating tickets, reducing risk, and enabling both humans and AI systems to work with data safely and instantly.
Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide and operates as a hybrid workplace globally.
• Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst.
• Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and BuiltIn as one of the best workplaces, and by Fast Company as one of the top 50 most innovative companies.
• $267 million in total funding. Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.
• A hybrid workplace with offices in Boston, MA; Columbus, Ohio; College Park, Maryland.
ABOUT OUR TEAM
At Immuta, we’re on a mission to make data secure, accessible, and trusted for every organization. Our Engineering Team builds the technologies that power this mission — enabling global enterprises to automate data access control, privacy enforcement, and policy management across modern cloud ecosystems.
YOUR ROLE
As a Senior Software Engineer on the Agentic Access team, you’ll play a key role in designing, building, and evolving the AI systems that underpin Immuta’s data governance platform. You’ll work at the intersection of AI and data security — building the foundational capabilities that allow autonomous agents to discover, authenticate against, and securely access governed data.
You’ll collaborate with other engineers, product managers, and designers to architect scalable solutions, guide technical direction, and mentor peers in best practices. This is a hands-on, highly impactful role for someone who enjoys balancing deep technical work with product impact and wants to help define how AI interacts with enterprise data.
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