NEXUS AIDC
Website:
nexdev.org
Company:
https://www.linkedin.com/company/nexus-aidc-inc
Seniority: Mid-Senior level
Industries: Technology, Information and Internet
Job details:
Company Description: NEXUS AIDC is a San Francisco based AI infrastructure company and a member of the NVIDIA Inception program, AWS for Startups, and Intel Partner Alliance. We are building the intelligent operating layer for next-generation AI data centers and are looking for an exceptional engineer who wants to help define the future of AI infrastructure.
In this role (FinOps Platform Engineer), you will
- Architect, develop, and maintain the core FinOps platform, building scalable backend services, streaming data pipelines, and APIs that deliver real-time financial intelligence for AI infrastructure and enterprise data centers.
- Design and implement event-driven architectures using Apache Kafka and Apache Flink to process high-volume telemetry, infrastructure events, cloud billing data, and financial transactions with enterprise-grade reliability and exactly-once processing.
- Develop the financial computation engine that transforms infrastructure, cloud, and workload telemetry into accurate cost attribution, chargeback/showback models, forecasting, and AI workload economics while maintaining strict accounting-grade financial integrity.
- Build and optimize high-performance data platforms using PostgreSQL, ClickHouse, and modern streaming technologies to support large-scale analytical workloads, financial reporting, and real-time dashboards.
- Integrate telemetry and operational data from cloud platforms, Kubernetes, GPU infrastructure, observability platforms, and enterprise data center systems into a unified FinOps data model.
- Implement secure, production-ready enterprise platforms with robust authentication and authorization, API security, secrets management, auditability, high availability, disaster recovery, and comprehensive observability.
- Develop enterprise financial controls including auditable master data, billing and chargeback workflows, cost governance, reconciliation, and complete calculation provenance to ensure financial transparency and regulatory compliance.
- Proactively troubleshoot distributed systems, optimize performance, write comprehensive automated tests, and drive production deployments through modern CI/CD pipelines while maintaining the highest standards of software quality and reliability.
- Responsibly leverage AI-assisted development tools to accelerate engineering delivery while ensuring all generated code is secure, maintainable, thoroughly tested, and production-ready.
- Partner closely with frontend engineers, cloud platform teams, infrastructure, DevOps, QA, and the Founder to deliver an enterprise-grade FinOps platform from specification through production.
Required Qualification
- 6+ years of hands-on software engineering experience, including architecting and delivering enterprise-grade backend platforms, distributed systems, or large-scale data platforms into production.
- Demonstrated expertise in building high-throughput, event-driven systems using technologies such as Apache Kafka, Apache Flink, Kafka Streams, Spark Structured Streaming, or equivalent real-time processing frameworks.
- Deep understanding of FinOps principles, cloud cost management, financial allocation models, chargeback/showback methodologies, billing reconciliation, cost attribution, and cloud consumption analytics across one or more major cloud providers.
- Strong experience designing highly scalable APIs, microservices, and distributed architectures using Java (preferred), Kotlin, or equivalent enterprise languages, alongside modern data engineering practices.
- Advanced SQL expertise and proven experience designing and optimizing large analytical data platforms using PostgreSQL, ClickHouse, or other OLTP/OLAP databases.
- Experience building data platforms that integrate telemetry, observability, cloud billing, infrastructure, and application metrics into unified analytical or financial models.
- Solid understanding of Kubernetes, containers, cloud-native architectures, CI/CD pipelines, Infrastructure as Code, and operating production systems with high availability, security, and observability.
- Proven experience designing systems requiring financial-grade accuracy, including reconciliation, idempotent processing, auditability, immutable records, versioned reference data, and complete data lineage.
- Strong software engineering fundamentals, including automated testing, code quality, performance optimization, system observability, production troubleshooting, and secure software development practices.
- Excellent communication skills with the ability to work directly with executive leadership, mentor engineers, influence technical direction, and drive engineering execution across cross-functional teams.
Preferred Qualification
- FinOps Certified Practitioner, FinOps Professional, or equivalent experience implementing enterprise FinOps capabilities.
- Experience working with the FinOps Foundation FOCUS specification, AWS Cost & Usage Reports (CUR), AWS Data Exports, Azure Cost Management, Google Cloud Billing, or equivalent cloud financial datasets.
- Experience building platforms for AI infrastructure, GPU computing, HPC environments, Kubernetes-native workloads, or large-scale enterprise infrastructure.
- Familiarity with GPU telemetry and observability technologies such as NVIDIA DCGM, AMD ROCm, Prometheus, OpenTelemetry, kube-state-metrics, or Slurm.
- Exposure to enterprise infrastructure management, data center operations, DCIM platforms, or industrial protocols including SNMP, Redfish, Modbus TCP, or BACnet.
- Experience building developer platforms, internal platform engineering products, or enterprise SaaS solutions used by technical operators at scale.
- Previous experience as a Founding Engineer, Technical Lead, or early-stage startup engineer, with a track record of taking complex products from specification through production deployment.
- Genuine passion for building elegant engineering solutions, solving complex distributed systems problems, and creating category-defining enterprise software.
Why Join us
AI infrastructure is redefining how the world's data centers are designed and operated, and NEXUS is building the intelligent operating layer for this new era. As a Founding Engineer, you'll help shape the platform, influence key architectural decisions, and establish the engineering culture from day one. Exceptional candidates will also be considered for participation in our Employee Stock Option Plan (ESOP), providing the opportunity to share in the long-term success of the company.
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