Technician Data Center Operations jobs at Intercontinental Exchange - Ice

About Our Technology Stack

You'll be working with a modern, on-premises data stack that includes:

• Apache Airflow for workflow orchestration (self-hosted on Kubernetes)
• dbt for data transformation and testing
• Apache Flink for stream processing and real-time data workflows
• Kubernetes for containerized deployment and scaling
• Git-based version control and CI/CD for data pipelines
• Oracle Exadata for data warehousing
• Kafka for messaging and event streaming

We emphasize building systems that are maintainable, scalable, and focused on enabling self-service data access while maintaining high standards for data quality and governance.

Responsibilities

• Design, build, and maintain our on-premises data orchestration platform using Apache Airflow, dbt, and Apache Flink
• Create self-service capabilities that empower teams across the organization to build and deploy data pipelines without extensive engineering support
• Implement robust data quality testing frameworks that ensure data integrity throughout the entire data lifecycle
• Establish data engineering best practices, including version control, CI/CD for data pipelines, and automated testing
• Collaborate with ML/AI teams to build scalable feature engineering pipelines that support both batch and real-time data processing
• Develop reusable patterns for common data integration scenarios that can be leveraged across the organization
• Work closely with infrastructure teams to optimize our Kubernetes-based data platform for performance and reliability
• Mentor junior engineers and advocate for engineering excellence in data practices

Knowledge and Experience

• 5+ years of professional experience in data engineering, with at least 2 years working on enterprise-scale data platforms
• Deep expertise with Apache Airflow, including DAG design, performance optimization, and operational management
• Strong understanding of dbt for data transformation, including experience with testing frameworks and deployment strategies
• Experience with stream processing frameworks like Apache Flink or similar technologies
• Proficiency with SQL and Python for data transformation and pipeline development
• Familiarity with Kubernetes for containerized application deployment
• Experience implementing data quality frameworks and automated testing for data pipelines
• Knowledge of Git-based workflows and CI/CD pipelines for data applications
• Ability to work cross-functionally with data scientists, ML engineers, and business stakeholders

Preferred Knowledge and Experience

• Experience with self-hosted data orchestration platforms (rather than managed services)
• Background in implementing data contracts or schema governance
• Knowledge of ML/AI data pipeline requirements and feature engineering
• Experience with real-time data processing and streaming architectures
• Familiarity with data modeling and warehouse design principles
• Prior experience in a technical leadership role

Job Purpose

The New York Stock Exchange (an Intercontinental Exchange company) is seeking a data scientist to serve as an expert member of NYSE Regulation (“NYSER”). The individual who fills this role will work closely with the other members of the NYSER data scientist team. The primary responsibilities of the individual in this position will be to:

1. implement a comprehensive approach to the use and maintenance of data, technology, artificial intelligence (“AI”), specifically focusing on machine learning (“ML”) and Large Language Models (“LLM”) for regulatory purposes;
2. design analytical and econometric models of trading activity (including with respect to digital assets and blockchain data) and provide direct data analytics and AI support to groups across the NYSER program, including to NYSER Surveillance & Investigations, NYSER Enforcement, and NYSER Issuer Regulation; and
3. provide thought leadership on how to strategically enhance NYSER’s data and regulatory technology program, including by leveraging various data sources and by implementing AI and ML across platforms.

NYSER is responsible for monitoring activities on the NYSE’s equities and options markets, and for addressing non-compliance with the NYSE Exchanges’ rules and federal securities laws. NYSER enforces both the NYSE Exchanges’ and their members' compliance with NYSE Exchange rules and applicable federal securities requirements. NYSER also monitors and enforces listed companies’ compliance with applicable listing standards of the NYSE Exchanges. By performing these duties, NYSER supports the NYSE Exchanges’ efforts to promote just and equitable principles of trade, encourage free and open markets, and protect investors and the public interest.

Responsibilities

• Serve as the data and AI/ML expert for NYSER
• Explore predictive modeling, ML, LLMs and advanced statistical methods and integrate that technology into NYSER’s program
• Analyze trading data to identify, develop and investigate enforcement cases, and distill the analyses into easily understood visual representations for non-technical stakeholders
• Collaborate with other subject matter experts to define requirements and specifications for new surveillance patterns and enhancements to existing surveillances
• Implement a comprehensive approach to the use and maintenance of data and technology for regulatory purposes
• Provide thought leadership on how to strategically enhance NYSER’s data and AI/ML program, including use of the trading and other data to enhance regulatory functions
• Design analytical and econometric models and perform analyses on vast quantities of data to identify trends in market activity that implicate the surveillance and enforcement programs
• Facilitate communications between teams with differing levels of expertise on data and technology issues
• Work with technology teams to identify required data sources and tools to load/incorporate data into NYSER systems and normalize and aggregate data sets when necessary
• Establish workflows and documentation protocols based on data science best practices to ensure project plans, data models, and other work product can be clearly communicated to various stakeholders
• Apply data science methods to analyze digital assets and blockchain data
• Support periodic transitions between technology platforms
• Represent NYSER on committees relevant to data policy and technology implementation
• Keep up to date on developments in the field of data science and integrate novel models into NYSER’s program
• Lead and collaborate with others on ad hoc and special projects

Knowledge and Experience

• Bachelor’s degree with eight or more years of experience in data analytics/science, financial engineering, statistics, or a similar field requiredorMaster’s degree with five or more years of experience in these fields required
• Experience applying AI, including deep learning frameworks and ML, to practical business challenges in capital markets
• Experience developing a data program is highly preferred
• Experience in system architecture and design
• Vision for how to incorporate data and technology into a regulatory program
• Knowledge of financial and trading markets, especially equity and options trading
• Experience building and analyzing quantitative trading strategies is highly preferred
• High proficiency in Python, SQL, data-structured language, and/or other programming languages and analytical tools such as Jupyter notebook
• Familiarity with AWS Cloud ecosystem preferred
• Excellent verbal and written communication skills, including the ability to effectively communicate about complex data and technology issues to persons with a variety of backgrounds
• Ability to teach others
• Strong leadership skills, with management experience preferred
• Great attention to detail with ability to work independently and also as part of a team
• Ability to manage multiple workstreams simultaneously and complete projects expeditiously

Job Purpose

As a Senior Full Stack Developer, you will be part of a dynamic team responsible for the design, development, maintenance, and operational support of applications supporting the Exchange Trading Platform, End of Day RISK and Clearing systems.

Responsibilities

• Contribute to the design and development of applications supporting Trading, RISK and Clearing systems
• Be able to lead an effort to design, architect and write new software components.
• Be able to independently handle project activities related to builds and deployments.
• Be able to create software tests, verify the functionality and quality of the software.
• Create design documentation for new software development and subsequent versions.
• Provide second-tier production support for 24/7 applications.
• Provide support for deployments during maintenance windows.
• Troubleshoot issues as they arise, in the dev, QA and production rollout cycles
• Keep test environments up to date and in working order, creating environment-specific configurations and applications as necessary
• Identify opportunities to improve and optimize applications.
• Work with business analysts or product management in understanding new requirements.
• Follow team guidelines for quality and consistency within the design and development phases of the application(s).
• Follow company software development processes and standards.

Knowledge and Experience

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in Java design and development
• 2+ years of experience with at least one JavaScript framework such as React or Angular
• 5+ years of experience with open source frameworks like Spring
• 5+ years of experience with Tomcat/SpringBoot/Vertx or equivalent application servers
• Solid understanding of security concerns for web-based applications
• Able to write and troubleshoot PL/SQL queries
• Experience with writing comprehensive unit tests
• Experience with SDLC Tools like GIT, JIRA, Jenkins, Maven, or equivalent tools
• Experience building user-centric web applications with focus on usability, workflows, and performance
• Strong analytical and troubleshooting skills
• Working knowledge of software testing, building high quality software, and experience with software testing tools, regression testing etc
• Proven success working in a team environment

Responsibilities

• Conduct real-time surveillance of electronic trading activity in ICE Futures products
• Provide training on the ICE website, trading platform functionality, and specific trading information for OTC and futures markets
• Provide quick responsiveness to customers, offering functionality support and troubleshooting to resolve issues
• Support both new and existing companies in efficient use of our proprietary systems, resolving issues, problem-solving, and training
• Monitor the health and usage of our systems, escalating recurring or high-priority issues
• Produce operational reports to provide metrics and tracking of queries

Knowledge and Experience

• College degree or equivalent work experience in a customer-focused environment
• Knowledge of commodity markets, financial trading, or equity brokerage business; exposure to futures markets a plus
• Outstanding problem-solving and analytical skills, attention to detail, and ability to multitask
• Strong communication skills with demonstrated interpersonal skills
• Team player, with commitment to service to our customers and their needs
• Working knowledge of at least one of Salesforce, ServiceNow, MS Office

Responsibilities

• Customer specific processing and support for ICE Data Services clients with accuracy and diligence to ensure users are able to maximize use of the various fixed income desktop products
• Provide excellent customer care with deep knowledge of system workflow processes, including moderate understanding of key product features
• Assist in implementation and set up of new accounts and projects
• Provide expert security modeling, training and support as needed
• Performs other duties as assigned such as coverage analysis for prospective clients, process sample/demo portfolios and generate reports as requested by the sales and account management staff
• Analyze, research, and respond to client queries in fast paced environment via phone, email and chat in a professional manner
• Work closely with various team such as Product, Quality Assurance, Data and Development to resolve client concerns

Knowledge and Experience

• Bachelor’s Degree, preferably in Mathematics, Finance, Business, Economics or Computer Science
• Excellent written and verbal communication skills
• Sufficient analytical skills to understand and interpret theoretical/mathematical calculations
• Sufficient technical skills to troubleshoot the various products and platforms
• PC skills needed for basic experience in software navigation, especially when assisting clients as well as for efficient spreadsheet data manipulation

Responsibilities

• Incident Management: Proactive checkouts and monitoring to avoid service outages or limit their impact. Troubleshooting and fault isolation to restore service when necessary.
• Problem Management: Solutions for Incident Management from Case Study evaluations. This includes development of the related root cause flow charts and troubleshooting procedures that streamline the time required to isolate faults and restore service.
• Operational Readiness for New Services: Completing checklists that support pre-production deployment of network services. This includes assurance that Network Operations has updated management for all related network components, is performing pro-active routines to ensure optimal network health, understands the service and its dependencies, and the staff can perform established recovery procedures.
• Change Management Planning and Configuration Implementation: Coordination of changes at the CAB and periodic quality reviews with Engineering. Implementation of tasks assigned to Network Operations and support for those implemented by Network Engineering.
• Service Requests, Network Maintenance, and Operational Support: Executing requests for analysis or support. Representing Network Operations’ strategic initiatives such as vendor service level reviews, Asset Management, and Capacity Management. Coordination and support for pro-active maintenance activities required to keep the infrastructure in good health.
• Process Improvement: Specific tasks assigned by management to own that deliver operational support improvements to a technology, process, tool, or service.

Knowledge and Experience

• Bachelor’s Degree in Computer Engineering or related field preferred.
  • 1-3 years of relevant experience in lieu of educational credentials.
• Knowledge of routing protocols and concepts (OSPF, BGP, etc.).
• Knowledge of TCP/IP, Layer 2 and 3 switching.
• Position requires superior customer service skills including verbal and written skills.
• Ability to work in a team oriented environment is essential.
• Weekend and off hours support is required.
• JNCIA, CCNA, or equivalent knowledge is preferred.
• Financial industry experience is preferred.

Skills

• Perform monitoring for new events to open incidents
• Perform all levels of routine network analysis
• Coordinate hot hands and other activities with vendors
• Interact with advanced level engineering support
• Develop and propose solutions for the knowledge base
• Solid understanding of multicast and troubleshooting techniques
• Working knowledge of how to use management tools

Job Purpose

The Junior Data Center Technician is responsible for ensuring all activities carried out in the Data Center & Access Centers conform to Data Center Procedures and industry best practice.

The Junior Data Center Technician performs routine data center operations work with a focus on learning and administering current data center procedures.

The role will also be requiring assisting Data Center Engineers to gather information for a work order.

Responsibilities

• Support storage tape removal and pick up
• Provide escorted access for vendors and COLO customers
• Carry out daily checks to ensure security and access policies are being adhered to and Data Center cleanliness is maintained.
• Carry out QA in Data Center Halls and access centers.
• Control Data Center stocks (copper/fibers patch cables, fiber cleaning accessories, cables labels, etc.) and report appropriately

Knowledge and Experience

• Basic computer hardware knowledge
• 0-1+ years' experience of working in Data Center environments
• Good Understanding of Microsoft Office
• Ability to follow instructions
• Demonstrate ability to perform in a high paced work environment, good problem solving techniques, communicating issues and results to co-workers and escalating to immediate management
• Ability to work well with others in a team environment as a member of a self-managed work team, in rotational assignments, or as a member of a project team
• Demonstrates a willingness to learn
• Effective written and verbal communication at all levels