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
Lead Systems Engineer responsible for guiding a team in systems engineering for complex, distributed simulation and mission rehearsal systems across a nationwide network.
Compensation
The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Responsibilities
Lead systems engineering team
Set technical direction
Prioritize work
Mentor engineers
Translate operational needs into system requirements
Primary internal functional and technical owner responsible for the administration, configuration, enhancement, governance, and support of the organization’s Quickbase platform and applications.
Responsibilities
Design, configure, test, deploy, and maintain Quickbase applications, tables, relationships, forms, reports, dashboards, formulas, and workflow rules.
Translate approved business requirements into maintainable low-code solutions that align with platform standards and business processes.
Assess existing applications and implement enhancements that improve usability, reliability, efficiency, and adoption.
Maintain clear technical and functional documentation for application designs, data models, dependencies, and configuration decisions.
Partner with stakeholders to elicit, analyze, prioritize, and document business requirements, process flows, acceptance criteria, and desired outcomes.
Requirements
Bachelor’s degree in information systems, Business Administration, Computer Science, or a related field
Maintain the health and reliability of infrastructure for AI compute systems, monitoring systems, investigating alerts, coordinating incident resolution, and improving operational processes.
Locations (3)
Austin, Texas, United States
Santa Clara, California, United States
Vancouver, British Columbia, Canada
Compensation
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets.
Responsibilities
Monitor availability, performance, and capacity of infrastructure across servers, compute clusters, and supporting systems
Triage incidents by assessing severity and impact, gathering diagnostic information, escalating issues, and tracking resolution
Develop, maintain, and execute operational runbooks for troubleshooting, incident response, system recovery, and routine maintenance
Co‑op student in Technical Services, gaining hands‑on experience in networking, cybersecurity, enterprise systems, and general IT while owning a defined project.
Compensation
$30—$30 USD
Responsibilities
Contribute to technical operations and projects aligned with your primary area of focus.
Work with enterprise technologies, tools, and processes in a production IT environment.
Investigate problems, document findings, and help implement practical solutions.
Collaborate with Technical Services colleagues and internal business partners.
Learn and follow IT service‑management, change‑management, and security practices.
Improve monitoring, dashboards, and alerting to increase infrastructure visibility and reduce alert noise
Analyze recurring incidents and operational gaps, collaborating with infrastructure and engineering teams to identify root causes and improve recovery procedures
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