[Hiring] Forward Deployed Engineer @Nexus One

Role Description

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
• Data sovereignty

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
• Customer technical teams

Qualifications

• 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
• Ability to troubleshoot across system boundaries and stay accountable until the underlying problem is understood and resolved
• Experience navigating large-enterprise constraints such as security reviews, IAM/RBAC, private networking, compliance controls, change management, and multiple stakeholder groups
• Excellent written and verbal communication; able to explain complex technical decisions precisely to both engineering and executive audiences
• High agency, sound judgment, low ego, and comfort operating in ambiguous environments where the playbook is still being built
• Willingness to travel to customer sites as engagements require

Requirements

• Deep experience with one or more of Kubernetes, Spark, Trino, Iceberg, Airflow, Ranger, Keycloak, DataHub, Terraform, dbt, Airbyte, Fivetran, or adjacent technologies
• Experience deploying data platforms in regulated industries such as financial services, insurance, healthcare, telecommunications, or the public sector
• Experience with on-premises or hybrid-cloud deployments, including restricted-network or data-sovereignty requirements
• Track record of modernizing Hadoop, Cloudera, MapR, legacy ETL, or complex enterprise data estates
• Experience building production AI or agentic applications on governed enterprise data
• Demonstrated success turning bespoke customer work into reusable software, automation, reference architectures, or product features
• Experience with performance engineering, high availability, disaster recovery, security hardening, or production incident response
• Prior experience in a startup or growth-stage environment where you helped create the operating model rather than inherit it

Benefits

• A collaborative team culture built on curiosity and respect
• Challenging work where your contributions clearly matter
• A leadership team that invests in learning and development
• The opportunity to work at the intersection of cloud, data, and AI innovation

What This Role Is Not

• Not a project manager role.
• Not pre-sales solution engineering.
• Not reactive support.
• Not bespoke consulting forever.
• Not a role for someone who needs perfect requirements.