Forward Deployed Engineer

About Nexus

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, backed by Insight Partners, and running in production in environments most vendors won't touch. Our platform processes credit risk data for 90%+ of US small businesses — 40M+ — every month. Intent signals for 300M+ subscribers monthly for Africa's largest telco. The data and AI layer for a Top 3 US bank.

We're 100+ people across the US and India, headquartered in Atlanta. We think big, move fast, and don't mistake activity for progress. We hire people who'd rather ship the rocket than brief someone on it.

Check out this podcast of Anu talking about our solution here: https://www.youtube.com/watch?v=g8g50sv5GhQ

The Opportunity

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.

This is a hands-on engineering role—not a traditional consulting, project management, or customer success position. You will work directly inside complex customer environments to understand business and technical goals, design the right solution, write production-quality code, deploy and integrate NexusOne, and help customer teams operate it successfully. You will move between a customer's architecture room, a codebase, a Kubernetes cluster, and an executive status discussion without losing the thread.

Our customers often operate large, regulated data estates with strict requirements around security, governance, resilience, performance, and data sovereignty. Their environments may span legacy platforms, cloud data systems, mainframes, warehouses, lakehouses, and AI applications. The work is rarely turnkey. You will own hard implementation problems through resolution while turning what we learn in the field into reusable product capabilities, automation, and delivery playbooks.

You will partner closely with Forward Deployed Engagement Managers, Solutions Architects, Product Engineering, Customer Reliability Engineering, and customer technical teams. The engagement manager owns the delivery program; you own the engineering build.

What You Will Do

Deliver Enterprise Solutions

Embed with strategic customers from post-sale discovery through production rollout, stabilization, and knowledge transfer

Translate business outcomes and ambiguous customer requirements into clear technical designs, milestones, and working software

Design, build, test, and deploy customer-specific integrations, data pipelines, platform extensions, migration utilities, and AI-enabled workflows

Integrate NexusOne with existing enterprise systems across identity, security, governance, data catalog, storage, compute, orchestration, observability, and CI/CD

Support migrations and modernization across on-premises, private-cloud, public-cloud, and hybrid environments

Establish production-readiness criteria covering performance, reliability, security, disaster recovery, monitoring, and operational ownership

Engineer in the Customer Environment

Write production-quality code in languages such as Python, Java, Scala, or Go

Deploy and troubleshoot distributed systems on Kubernetes using infrastructure-as-code and modern delivery practices

Diagnose issues across application code, data pipelines, networking, IAM/RBAC, certificates, storage, compute, and customer infrastructure

Lead technical workstreams during high-severity deployment issues, communicate hypotheses clearly, and drive fact-based root-cause resolution

Produce high-quality technical artifacts: architecture diagrams, design documents, implementation plans, runbooks, test plans, decision logs, and post-incident reviews

Work effectively within enterprise controls such as architecture review boards, security assessments, change-management processes, and production-access policies

Build Customer Capability

Pair with customer engineers and architects so they understand the solution and can operate it independently

Lead technical workshops, design reviews, whiteboarding sessions, and hands-on enablement

Communicate trade-offs and risks clearly to engineers, architects, delivery leaders, and executives

Build trusted relationships while maintaining scope discipline and making realistic technical commitments

Create a clean handoff to Customer Reliability Engineering and Support when the solution moves into steady-state production

Improve the Product and the Motion

Bring structured field feedback to Product and Engineering: recurring deployment friction, integration gaps, reliability issues, and product opportunities

Distinguish one-off customer requirements from patterns that should become product capabilities

Convert repeated work into reusable connectors, reference architectures, deployment automation, tests, templates, and playbooks

Contribute improvements to the core platform when the right solution is product-level rather than customer-specific

Help define what world-class forward-deployed engineering looks like at NexusOne as the function scales

What Success Looks Like

In the first 90 days:

Build working knowledge of the NexusOne architecture and deployment model

Establish credibility with an assigned enterprise customer and the internal engineering team

Take ownership of a defined technical workstream and ship it into a customer environment

Produce clear, reusable documentation that reduces dependence on individual engineers

Within 6–12 months:

Lead major technical workstreams from design through production adoption

Reduce time-to-value for customer deployments while improving quality and predictability

Enable customer teams to operate delivered solutions with decreasing day-to-day dependence on NexusOne FDEs

Turn field lessons into reusable automation, product improvements, and delivery patterns

Protect Product Engineering focus by resolving customer implementation work within the forward-deployed organization and escalating only true product issues

Who You Are

Required

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, troubl