The role

Nebius operates large-scale, mission-critical infrastructure. As a Senior Data Center Technician, you will own day-to-day data center operations, ensuring availability, safety, and reliability. You will act as a hands-on expert and escalation point, working closely with facilities, network, and engineering teams in a 24×7 environment.

Your responsibilities will include:

• Operate and maintain data center infrastructure (power, cooling, racks, hardware)
• Troubleshoot and resolve complex incidents to minimize impact
• Lead and execute maintenance, installs, and infrastructure changes
• Serve as technical escalation for on-shift issues
• Monitor systems via DCIM/BMS and respond to alarms
• Participate in incident response, RCA, and documentation
• Enforce safety, security, and compliance standards
• Mentor junior technicians and raise operational standards

What we expect you to have:

• 3+ years in data center or critical infrastructure operations
• Strong hands-on experience with power, cooling, and server hardware
• Power systems (UPS, generators, PDUs, switchgear)
• Cooling systems (CRAC/CRAH, chillers, airflow optimization)
• Server and rack-level hardware
• Proven incident troubleshooting in high-availability environments
• Ability to work shifts in a 24×7 on-site role
• Clear communication and strong ownership mindset

It will be an added bonus if you have:

• Experience with large-scale or hyperscale data centers
• Tier III / Tier IV familiarity
• DCIM/BMS experience
• Relevant certifications (CDCP/CDCS, BICSI, CompTIA, OEM)

Working Conditions:

• On-site, shift-based role (including nights/weekends)
• Physical work in a data center environment

Key employee benefits: 

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 
• 401(k) plan: up to 4% company match with immediate vesting. 
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. 
• Remote work reimbursement: up to $85/month for mobile and internet. 
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage. 

Compensation

We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus.

Join Nebius Today!

Hudson River Trading (HRT) is seeking a hands-on Data Center Technician with experience in data center operations to join our Trading Infrastructure (SysTrade) team. If you enjoy solving complex infrastructure challenges, working with cutting-edge technology, and thrive in a fast-paced, global environment, we’d love to hear from you.

In this role, you’ll play a critical part in building and maintaining the high-performance infrastructure that powers HRT’s global trading operations. You’ll be responsible for everything from racking and cabling to planning large-scale deployments—ensuring our colocations remain robust, efficient, and low-latency.

Responsibilities

• Plan, execute, and document data center installations, upgrades, and maintenance projects
• Travel to regional and remote data centers to lead infrastructure projects and ongoing operational work
• Oversee and coordinate remote hands tasks
• Install and document racks, structured cabling, servers, switches, PDUs, and other hardware per HRT’s regional and global standards
• Manage equipment inventory, forecast hardware needs, and coordinate logistics
• Collaborate closely with cross-functional teams, vendors, and partners to ensure infrastructure uptime and performance

Qualifications

• 3+ years of hands-on experience in high-availability or financial colocation environments
• Strong understanding of data center power systems, redundancy, and infrastructure design
• Deep knowledge of copper and fiber cabling, including best practices for structured cabling
• Familiarity with rack-level cooling and airflow management
• Proven experience building PC/server hardware—bonus points for overclocking expertise
• Comfortable using Linux (especially bash) and troubleshooting serial console access
• Proficient with hand tools and able to lift up to 30 lbs of equipment
• Bonus: Python or shell scripting experience
• Clear communicator who enjoys cross-team collaboration
• Highly organized and able to manage multiple priorities under minimal supervision
• Proactive problem solver with a passion for learning and evolving alongside new technologies
• Willing to travel regularly and thrive in a dynamic, hands-on environment

The estimated base salary range for this position is 80,000 to 120,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Responsibilities:

• Build complex multi-agent AI agents that are highly scalable
• Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
• Engineer and refine prompts to enhance AI performance and output quality
• Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
• Ensure AI applications align with ethical standards, data privacy, and real-world scalability
• Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face

Requirements:

• Work with current state of the art LLMs and embedding models
• Experience building agentic AI systems
• Experience with debugging traces of LLM calls to identify errors/optimizations
• Experience with building Retrieval-Augmented Generation (RAG) systems
• Engineer and refine prompts to enhance AI performance and output quality
• Knowledge of extracting structured outputs from LLMs
• Experience using LLM APIs, embedding models, and RAG-based AI architectures
• Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
• Knowledge of LangChain, Pydantic, and scalable AI workflows
• Proficiency in prompt engineering and optimization techniques
• Some UI/UX experience is a plus

Qualifications:

• Minimum 5 years of experience in AI/ML development and data engineering
• Proficiency in programming languages Python
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
• Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
• Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
• Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)

Preferred Qualifications:

• Experience in NLP, Generative AI, or deep learning models
• Proven track record of deploying AI solutions at scale
• Research background in generative AI models
• Ability to integrate code into real world application
• Understanding AI ethics, bias mitigation, and responsible AI principles
• Prior experience in the financial or banking sector is a plus

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

Snowflake Architect

Role Summary:

We are seeking a Snowflake Architect to design, evolve, and maintain the data platforms that power our analytics and risk intelligence products. This role blends traditional data administration with modern data architecture — focusing not only on managing data systems, but also on shaping how data is modeled, governed, and integrated across our platforms.

What You’ll Do:

• Architect the evolution of our data ecosystem, helping to design and implement a medallion architecture (bronze/silver/gold layers) to support scalable, traceable data movement and quality monitoring.
• Plan and coordinate data cadences, ensuring that data ingestion and transformation processes are efficiently synchronized across layers.
• Lead the transition toward a hybrid data architecture based on AWS S3, Apache Iceberg, Polaris, and Trino (or similar query engine) — while maintaining and optimizing our existing Snowflake environment during the transition.
• Design and govern data models that support both analytical and operational workloads, balancing cost, performance, and scalability.
• Collaborate with developers and analysts to define end-to-end data integration processes using ETL/ELT frameworks for structured, semi-structured, and unstructured data.
• Administer and optimize Snowflake environments — including warehouse sizing, data clustering, cost optimization, and user access management — while planning for gradual migration of workloads to open table formats and object storage.
• Develop and maintain data infrastructure as code using Terraform and CI/CD pipelines to automate deployment, configuration and management of data resources.
• Evaluate and implement data cataloging, governance, and lineage tools, with an emphasis on Polaris for metadata and discovery.
• Perform ongoing analysis of data storage and query performance to improve efficiency, cost, and maintainability.

What You Need:

• 5+ years of experience in data architecture, warehousing, or administration.
• 3+ years of hands-on experience with Snowflake, including performance tuning, cost optimization, and security.
• Strong experience with query engines such as Trino, Athena, or Presto, and metadata catalogs such as Polaris or AWS Glue Catalog.
• Experience designing and maintaining data lakes and open table formats (e.g., Iceberg, Delta, or Hudi).
• Expertise in AWS data services — particularly S3, Glue, IAM, Lambda, SQS, SNS, and Secrets Manager.
• Strong understanding of data modeling, schema design, and ELT/ETL best practices.
• Hands-on experience with Python or Java for automation and data pipeline development.
• Experience with streaming data ingestion (Kafka, Kinesis, or equivalent).
• Strong communication and collaboration skills to work across data engineering, DevOps, and analytics teams.
• Experience with Terraform, CI/CD pipelines, and modern data orchestration tools (e.g., Airbyte, Matillion, or Airflow).

What's Nice to Have:

• AWS or Snowflake certifications (SnowPro, AWS Data Analytics, or Solutions Architect).
• Experience implementing data governance and lineage solutions.
• Understanding of data mesh and federated data architecture principles.
• Experience in federal or regulated environments where compliance, traceability, and data security are paramount.

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off 
• Industry leading health, vision, and dental benefits
• Competitive compensation package 
• 16 weeks of fully paid parental leave 
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming 
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-Hybrid

This is a full-time hybrid opportunity, requiring 2 days a week in office.

Cloud Data Architect

Role Summary:

We are seeking a Cloud Data Architect / Administrator to design, evolve, and maintain the data platforms that power our analytics and risk intelligence products. This role blends traditional data administration with modern data architecture — focusing not only on managing data systems, but also on shaping how data is modeled, governed, and integrated across our platforms.

What You’ll Do

• Architect the evolution of our data ecosystem, helping to design and implement a medallion architecture (bronze/silver/gold layers) to support scalable, traceable data movement and quality monitoring.
• Plan and coordinate data cadences, ensuring that data ingestion and transformation processes are efficiently synchronized across layers.
• Lead the transition toward a hybrid data architecture based on AWS S3, Apache Iceberg, Polaris, and Trino (or similar query engine) — while maintaining and optimizing our existing Snowflake environment during the transition.
• Design and govern data models that support both analytical and operational workloads, balancing cost, performance, and scalability.
• Collaborate with developers and analysts to define end-to-end data integration processes using ETL/ELT frameworks for structured, semi-structured, and unstructured data.
• Administer and optimize Snowflake environments — including warehouse sizing, data clustering, cost optimization, and user access management — while planning for gradual migration of workloads to open table formats and object storage.
• Develop and maintain data infrastructure as code using Terraform and CI/CD pipelines to automate deployment, configuration and management of data resources.
• Evaluate and implement data cataloging, governance, and lineage tools, with an emphasis on Polaris for metadata and discovery.
• Perform ongoing analysis of data storage and query performance to improve efficiency, cost, and maintainability.

What You Need

• 5+ years of experience in data architecture, warehousing, or administration.
• 3+ years of hands-on experience with Snowflake, including performance tuning, cost optimization, and security.
• Strong experience with query engines such as Trino, Athena, or Presto, and metadata catalogs such as Polaris or AWS Glue Catalog.
• Experience designing and maintaining data lakes and open table formats (e.g., Iceberg, Delta, or Hudi).
• Expertise in AWS data services — particularly S3, Glue, IAM, Lambda, SQS, SNS, and Secrets Manager.
• Strong understanding of data modeling, schema design, and ELT/ETL best practices.
• Hands-on experience with Python or Java for automation and data pipeline development.
• Experience with streaming data ingestion (Kafka, Kinesis, or equivalent).
• Strong communication and collaboration skills to work across data engineering, DevOps, and analytics teams.
• Experience with Terraform, CI/CD pipelines, and modern data orchestration tools (e.g., Airbyte, Matillion, or Airflow).

Nice to Have

• AWS or Snowflake certifications (SnowPro, AWS Data Analytics, or Solutions Architect).
• Experience implementing data governance and lineage solutions.
• Understanding of data mesh and federated data architecture principles.
• Experience in federal or regulated environments where compliance, traceability, and data security are paramount.

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off 
• Industry leading health, vision, and dental benefits
• Competitive compensation package 
• 16 weeks of fully paid parental leave 
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming 
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-Hybrid

This is a full-time hybrid opportunity, requiring 2 days a week in office.