Nexus Cognitive

Nexus Cognitive

Forward Deployed Engineer

Atlanta / Remote · Senior

Sponsorship not specifiedDetected 30 days ago
PythonJavaScalaDistributed SystemsAWSGCPAzureCloud PlatformsKubernetesTerraformCI/CDKafkaSparkAirflowdbtData EngineeringAgentic AIIncident ResponseProject ManagementCustomer SuccessLeadershipCommunicationHadoop

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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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.
  • This is a hands-on engineering role-not a traditional consulting, project management, or customer success position.
  • You will move between a customer's architecture room, a codebase, a Kubernetes cluster, and an executive status discussion without losing the thread.

Responsibilities

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

Requirements

  • 6+ years of professional software, platform, data, or infrastructure engineering experience, including substantial hands-on ownership of production systems
  • 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
  • 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
  • Deep experience with one or more of Kubernetes, Spark, Trino, Iceberg, Airflow, Ranger, Keycloak, DataHub, Terraform, dbt, Airbyte, Fivetran, or adjacent technologies
  • Track record of modernizing Hadoop, Cloudera, MapR, legacy ETL, or complex enterprise data estates
  • Experience with performance engineering, high availability, disaster recovery, security hardening, or production incident response

Skills

  • That's where NexusOne comes in.
  • 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:
  • 85+ open-source tools pre-integrated.
  • AI-native automations that deploy and self-heal the stack without human toil.

Company info

  • You will help customers discover the real problem and turn ambiguity into an executable technical plan.
  • Our customers often operate large, regulated data estates with strict requirements around security, governance, resilience, performance, and data sovereignty.
  • Embed with strategic customers from post-sale discovery through production rollout, stabilization, and knowledge transfer

This listing is sourced directly from Nexus Cognitive's careers page and normalized into a canonical job model.