Design, coordinate, and execute technical solutions for distributed cloud infrastructure, leading large-scale projects and collaborating with cross-functional stakeholders.
Compensation
US: Hiring Range in USD from: $79,200 to $209,500 per annum. May be eligible for bonus and equity.
Responsibilities
Design and build scalable cloud infrastructure
Coordinate with development and operations teams
Troubleshoot performance and reliability issues
Document infrastructure designs and procedures
Lead initiatives across engineering and leadership
Support, test and validate server/storage system level products, configure, deploy, troubleshoot, validate server/storage performance and application solutions.
Compensation
Pay: 170-195k
Responsibilities
Define and develop application benchmarks based on enterprise computing requirements
Execute benchmark testing and build proof of concepts based on latest data center technologies
Work with product managers and system engineers to draft technical marketing presentations and white papers
Proactively engage in learning and researching new technologies and products to propose new Proof of Concepts
Work with sales and customers to provide networking solution and technical knowledge
Owns end-to-end delivery of applications supporting the R&D Quality portfolio, builds and coaches a team of Forward Deployed Engineers, and ensures compliance and value realization in a GxP-regulated environment.
Compensation
$129,000 - $211,200
Responsibilities
Owns the full lifecycle of an assigned portfolio of quality data and computer system assets
Authors product and system requirements, oversees translation of business problems into technical specifications
Operates as a hands‑on technical practitioner: reviews code, evaluates architecture decisions, quality‑checks technical work
Applies the CSV framework as a delivery accelerator
Builds and coaches a team of Forward Deployed Engineers
Requirements
Bachelor's degree in computer science, data analysis, analytics, informatics, life sciences, engineering, or related STEM field
Nice to have: Advanced degree
Nice to have: AI/ML governance in regulated decision‑making
Nice to have: LLM‑based solutions in Clinical, R&D, or regulated Quality settings
Nice to have: coaching or developing junior technical staff
Lead implementation and enhancement initiatives that improve TBM effectiveness, own advanced system configurations, build and optimize automated data pipelines, enforce taxonomy standards, oversee data integrations, partner with data providers, maintain cost models, establish operating models, architect platform self-service features, maintain technical documentation, lead analysis of technology costs, investments, resources, portfolios, and business value, lead continuous improvement efforts, and provide mentorship to Sr Analysts.
Compensation
The Salary Range for the role is $78,000.00 - $119,000.00 per year.
Responsibilities
Lead implementation and enhancement initiatives that improve TBM effectiveness
Own advanced system configurations, formula writing, and complex custom field setups
Build and optimize the automated data pipeline to eliminate manual data handling
Enforce the TBM Council taxonomy standards within the data models
Oversee data integrations
Requirements
Bachelor’s degree in Computer Science, Management Information Systems (MIS), Data Engineering, or a highly technical equivalent
Support and maintain trading technology systems, ensuring high availability and performance for market operations.
Compensation
The annual base salary range for this position is $85,000 - $125,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
Keep trading systems healthy and available by proactively spotting and resolving potential issues
Respond to trader and engineer requests with urgency and operational context
Participate in onboarding of new desks and systems
Learn the trading environment deeply to anticipate challenges and suggest improvements
Requirements
Bachelor’s degree in Computer Science, Engineering, or related STEM field
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