Job Opportunities API

  About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role Nscale is seeking a Technical Project Manager, Data Center Operations Systems to lead the implementation of software platforms and digital workflows that bridge Control Systems and Data Center Operations. The role owns delivery of integrated capabilities such as Jira and Jira Service Management, AI-enabled preventive and predictive maintenance, Octave (formerly Hexagon) asset database interfaces, Management of Change (MOC), and related operational applications. Working across Controls, Operations, IT, Cybersecurity, Reliability, Data and AI teams, vendors, and site stakeholders, the TPM translates operational needs into clear requirements, manages a data-center-focused software delivery team, and takes solutions from concept through adoption and support. This is a hands-on technical delivery role: the TPM is not the Control Systems design authority, but must understand data flows, APIs, asset models, operational risk, and software delivery well enough to manage decisions, dependencies, and outcomes. What You'll be Doing - Own the roadmap, backlog, and delivery plan for operations software that connects BMS, EPMS, SCADA, OT telemetry, asset data, and operational workflows. - Lead the day-to-day delivery of a cross-functional team of software developers, data and AI specialists, analysts, and vendors; set priorities, manage capacity, remove blockers, and hold owners accountable for outcomes. - Apply a pragmatic agile-light delivery model: maintain a prioritized backlog, define clear requirements and acceptance criteria, work in short delivery cycles, demonstrate working functionality regularly, and avoid ceremony that does not improve execution. - Translate Operations, Controls, Reliability, Commissioning, and site requirements into user stories, process maps, interface specifications, data requirements, test plans, and release roadmaps. - Deliver and improve platforms including Jira and Jira Service Management, AI-enabled maintenance applications, Octave asset database integrations, MOC workflows, operational dashboards, and supporting reporting tools. - Manage interfaces between operational applications and source systems, including APIs, event and alarm data, asset identifiers, work-order triggers, access controls, synchronization logic, exception handling, and support ownership. - Establish asset and operational data governance, including source-of-truth decisions, asset hierarchies, naming conventions, unique identifiers, data ownership, quality checks, and lifecycle management. - Maintain clear system boundaries so operational software can observe, analyze, and initiate approved workflows without bypassing local control, safety, cybersecurity, or authorization requirements. - Own delivery governance including scope, schedules, budgets, vendor performance, RAID logs, dependencies, decisions, change control, executive reporting, and practical recovery plans when delivery is at risk. - Lead testing, release, and operational readiness activities, including environment planning, integration and user acceptance testing, security reviews, cutover and rollback plannin