Zipher is building the Autonomous Execution Layer for cloud data and AI, a new category we are defining: $50M raised and live in Fortune 500 environments . We are hiring a Solution Engineer (FDE), Forward Deployed Engineer , to join a deliberately talent-dense team. As our Solution Engineer (FDE) , you will work embedded with the engineering teams of the world’s largest data and AI organizations, write the code that connects Zipher to their live workloads , and own every deployment until it runs and delivers in production. The work spans three sides: development product , and customers . You write production code, shape what we build next, and own the technical relationship with the customer. Our Solution Engineers work the way Forward Deployed Engineers do: as software engineers first. Whether your title today is Solutions Engineer, Forward Deployed Engineer, or Solutions Architect, or you are a Data Platform, Data Engineering, or Data Infrastructure engineer at a leading data company or startup , you grew up as a developer, and you spend your days in code.
What You’ll Do Own Zipher’s technical win with its enterprise customers Deploy Zipher into the customer’s production : build the integrations, connectors, and deployment code that plug the engine into Databricks, Spark, Kubernetes, and AWS Write production code in the field : debug live pipelines, ship fixes and extensions, and turn every one-off into a reusable building block
* Own each deployment end to end , through to the measured impact on cost, performance, and reliability Bring the field back into the product , with core engineering and the founders
What We Offer A product that is already winning : in production inside Fortune 500 environments An engineering seat in the field : as an FDE, you write the code and own the deployment architecture, and what you build shapes what we ship next Engineers worth learning from : a deliberately talent-dense team and direct work with the founders Room to grow and to lead : your ownership widens as the platform does Top-of-market compensation and a meaningful equity package
The teams running the world’s largest data and AI workloads are about to stop tuning them by hand. Come be the engineer who puts it in production - Hit Apply.
Requirements: What You’ll Bring 5+ years writing production code as a software engineer : backend, full stack, data engineering, data platform, or data infrastructure
* Strong production coding in Python or another backend language, and hands-on depth in cloud and data platforms : AWS, Databricks, Spark, Kubernetes, or adjacent
* Solutions built directly with B2B or B2E customers , deployed into their production systems in real time
* Strong customer-facing abilities and a customer-oriented mindset : you earn the trust of senior engineers in their own environment Flexibility to work with customers abroad when needed, including across time zones
* A high-agency engineering mindset : as comfortable in a customer’s codebase as in your own
Nice to Have BSc in Computer Science, Electrical Engineering, or a related engineering discipline
* A developer seat in an elite IDF technology unit (8200, Mamram, Ofek, Matzpen) or another high-performance engineering environment Databricks, Apache Spark, Snowflake, Airflow, dbt , or cloud-native data platforms
* Background in platform engineering, SRE, or data engineering
This position is open to all candidates.