Forward Deployed Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate closely with strategic customers from the post-sale discovery phase through to production rollout, stabilization, and knowledge transfer.

• Convert business objectives and vague customer requirements into technical designs, milestones, and functional software.

• Design, develop, test, and implement customer-specific integrations, data pipelines, platform extensions, migration tools, and AI-driven workflows.

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

• Assist with migrations and modernization across on-premises, private-cloud, public-cloud, and hybrid environments.

• Set criteria for production readiness concerning performance, reliability, security, disaster recovery, monitoring, and operational ownership.

• Write production-quality code and deploy and troubleshoot distributed systems on Kubernetes using infrastructure-as-code methodologies.

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

• Lead technical workstreams during critical deployment issues and facilitate root-cause analysis and resolution.

• Create architecture diagrams, design documents, implementation plans, runbooks, test plans, decision logs, and post-incident reviews.

• Conduct technical workshops, design reviews, whiteboarding sessions, and hands-on enablement activities.

• Collaborate with customer engineers and architects to promote independent operation of solutions.

• Provide structured field feedback to Product and Engineering teams.

• Transform repetitive tasks into reusable connectors, reference architectures, deployment automation, tests, templates, and playbooks.

• Contribute to product-level enhancements for the core platform.

• Ensure smooth transitions to Customer Reliability Engineering and Support teams.

⛳️ Requirements

• A minimum of 6 years of professional experience in software, platform, data, or infrastructure engineering, including significant hands-on management of production systems.

• Experience in a customer-facing post-sales role, professional services, solutions delivery, consulting engineering, resident engineering, or a similar position working directly with enterprise users.

• Proficiency in at least one backend programming language such as Python, Java, Scala, or Go.

• Familiarity with modern data infrastructure and distributed systems, including Spark, Trino/Presto, Iceberg, Kafka, Airflow, dbt, data lakes, or cloud data platforms.

• Strong expertise in Kubernetes and container technologies, 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 like Terraform.

• Ability to troubleshoot issues across system boundaries and address underlying problems effectively.

• Experience with enterprise constraints such as security reviews, IAM/RBAC, private networking, compliance controls, change management, and managing multiple stakeholder groups.

• Exceptional written and verbal communication skills.

• High level of agency, sound judgment, low ego, and the ability to thrive in ambiguous situations.

• Willingness to travel to customer sites as engagements necessitate.

• Experience in deploying data platforms in regulated industries, on-premises or hybrid-cloud environments, legacy data estates, production AI applications, performance engineering, high availability, disaster recovery, security hardening, or incident response are significant advantages.

🏝️ Benefits

• A collaborative team culture founded on curiosity and respect.

• Engaging work where your contributions are valued.

• A leadership team committed to learning and development.

• An opportunity to work at the cutting edge of cloud, data, and AI innovation.