Build and maintain an internal cloud agent platform that enables Qualtrics engineers to use AI agents on company infrastructure, supporting new GitLab instances and governing MCP integrations.
Compensation
For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer.
Responsibilities
Design and implement new platform features based on engineering needs and feedback
Expand platform access by supporting new GitLab instances and repositories
Manage and govern MCP Gateway integrations
Partner with security team to ensure compliance and admin controls
Identify bottlenecks and improve platform reliability
Build tools that help engineers develop, understand, and diagnose complex software systems.
Compensation
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.
Responsibilities
Design, build, and maintain engineering tools that help developers understand and diagnose complex software systems.
Build tooling that brings together logs, telemetry, events, faults, diagnostics, and system state to make system behaviour easier to investigate.
Build C++ and Python applications, libraries, services, and integrations that interact with complex onboard and distributed software systems.
Create tools that correlate information across software components, processes, and machines to help engineers understand what happened and where to investigate.
Build user interfaces and interactive visualisations using React and modern web technologies to explore system behaviour and engineering data.
Build the foundation other engineers stand on, including service frameworks, shared libraries, observability, and resilience for Nominal’s mission-critical software.
Responsibilities
Build service frameworks and shared libraries for Nominal services
Lead site reliability and developer experience teams responsible for production infrastructure, Kubernetes-based services, and developer tooling and automation.
Compensation
Armenia: 27,450,000 AMD - 39,750,000 AMD annually
Responsibilities
Lead, hire, and develop engineers across site reliability and developer experience teams.
Develop and complete technical roadmaps that balance platform capabilities, developer efficiency, reliability, security, technical debt, and operational demand.
Oversee the operation and evolution of production application infrastructure, ingress and routing services, and Kubernetes-based workloads.
Establish effective service ownership, on-call coverage, incident response, operational documentation and runbooks, cross-location handoffs, and blameless post-incident reviews.
Drive safe, repeatable releases through deployment automation, configuration management, post-deployment validation, rollback capabilities, and structured process improvements.
Own and evolve the product roadmap for post-booking servicing capabilities, partner self-serve tooling, and API-driven solutions to improve cancellations, refunds, relocations, and disruption handling.
Compensation
The total cash range for this position in Chicago is $128,000.00 to $179,500.00. Employees in this role have the potential to increase their pay up to $205,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Own and evolve the product roadmap for post-booking servicing capabilities
Partner closely with engineering teams across the full product lifecycle
Develop a deep understanding of financial, operational, and compliance rules
Define self-serve capabilities, including AI-assisted case triage
Design proactive and reactive notification capabilities
Requirements
Bachelor's degree in a relevant field or equivalent professional experience
Nice to have: Experience in the travel industry
Nice to have: Familiarity with modern API patterns
Nice to have: Experience with AI-enabled product capabilities
Nice to have: Experience participating in partner engagements
Design, develop, operate, and continuously evolve Mayo Clinic's Engineering Front Door—a cloud‑native digital platform that enables engineering self‑service, cloud governance automation, AI‑assisted guidance, reusable knowledge management, and workflow orchestration across the Hybrid Multi‑Cloud ecosystem.
Locations (4)
Rochester, Minnesota, United States
Phoenix, Arizona, United States
Scottsdale, Arizona, United States
Jacksonville, Florida, United States
Responsibilities
Serve as technical product owner for the Engineering Front Door platform
Define and continuously improve the platform roadmap with CCoE and Platform Engineering teams