The composable, out-of-the-box data architecture that gives organizations complete freedom to build, adapt, and scale any data workload — from legacy databases to real-time AI pipelines — without vendor lock-in. Backed by Insight.
About the role
We are looking for a Forward Deployed Engineer (FDE) to embed with strategic enterprise customers after the sale and turn ambitious platform commitments into production outcomes.
What they're looking for
- 6+ years of professional software, platform, data, or infrastructure engineering experience, including substantial hands-on ownership of production systems
- Experience in a customer-facing post-sales, professional services, solutions delivery, consulting engineering, resident engineering, or forward-deployed role—or equivalent experience working directly with enterprise users
- Strong programming and software engineering fundamentals, with production proficiency in at least one backend language such as Python, Java, Scala, or Go
- Experience with modern data infrastructure and distributed systems, such as Spark, Trino/Presto, Iceberg, Kafka, Airflow, dbt, data lakes, or cloud data platforms
- Strong Kubernetes and container experience, including deployment, troubleshooting, configuration, networking, observability, and operational readiness
- Working knowledge of at least one major cloud platform (AWS, Azure, or GCP) and infrastructure-as-code practices such as Terraform
More about this role
You don't have an AI story if you don't have your data story. That's where NexusOne comes in.
We're the converged data platform for the AI era — composable by design, built on an open-source foundation, and AI-native from the ground up. One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business. For the first time, enterprises can bring their existing stack along instead of rebuilding it — and still give AI agents full context across the estate.
What we stand for is simple: sovereign data, interoperable systems, decoupled intelligence — delivered the way modern software should be. No rip-and-replace. No multi-year transformation. Our CEO Anu Jain puts it well: we turn the "ball of yarn" of data integrations into a unified engine — less like assembling car parts, more like buying the car ready to drive. 85+ open-source tools pre-integrated. AI-native automations that deploy and self-heal the stack without human toil. Forward-deployed engineers who build shoulder-to-shoulder with customer teams — hands on keyboards, not just on decks.
It's working, and fast. We're tripling revenue year over year,...
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