Role Description This role provides the vision, strategy, functionality, and technology solutions for creating and maintaining distributed platforms for both public and private cloud infrastructure-based solutions. This entails the design and use of flexible platforms that deliver features, functionality, and services compatible with industry-leading providers while allowing legacy systems to interact safely when required. This position requires the necessary skills to provide technology research, evaluation, development, and delivery in support of infrastructure deployment solution lifecycles. This position collaborates with the Information Technology teams to lead the organization toward the deployment of technologies that may include PaaS, SaaS, hosted, and on-premises solutions – which will allow for flexible, secure, on-demand cloud-like functionality and services while endeavoring to provide resiliency and achieve cost reduction, while maintaining a highly secure and flexible environment. Qualifications - Level I: - In lieu of degree, seven (7) cumulative years related work experience required. - Associates degree in Computer Science, Information Technology, or related field with four (4) years of related experience required. - Bachelor’s degree preferred. - Awareness of security, compliance, and audit policies/procedures. - Experience with research, design, and implementation in assigned technologies. - Infrastructure operations and infrastructure project delivery experience essential. - Scripting and automation experience. - Strong communication skills. - Understanding of cloud computing infrastructure and concepts. - Knowledge of cloud and/or on-prem integration. - Demonstrates intermediate knowledge of a minimum of three (3) concepts and/or tools listed below: - VMware, Nutanix, or similar virtualization platform administration - Windows and/or Linux/Unix server administration - Azure - AWS - GCP - Terraform (or related IaC tool) - Ansible (or related configuration management technology) - Nutanix (or similar hyperconverged technology) - Vmware ESXi (or similar virtualization technology) - Linux - Windows Server - YAML (or similar markup) - JSON - REST API - GitHub (or related Git repository) - Azure DevOps - CI/CD - Level II (in addition to Level I qualifications): - Intermediate knowledge of a minimum of four (4) concepts and/or tools listed above. - Intermediate Infrastructure operations and infrastructure project delivery experience. - Demonstrates strong technical documentation ability. - Experience with IT computing resource management and optimization. - High degree of business maturity and demonstrated confidentiality; executes good judgment. - Strong scripting and automation experience. - Intermediate knowledge of Disaster Recovery. - Intermediate knowledge of security, compliance, and audit policies/procedures. - Level III (in addition to Level II qualifications): - Advanced knowledge of a minimum of four (4) concepts and/or tools listed above. - Advanced understanding of Disaster Recovery procedures related to IT infrastructure. - Ability to provide internal mentorship within team. - Professional certification in job-related technology. - Strategic vision in alignment with business objectives. - Level IV (in addition to Level III qualifications): - Advanced knowledge of a minimum of five (5) concepts and/or tools listed above. - Demonstrated competence in team leadership/technical leadership, facilitation, and project leadership. - Extensive knowledge of hybrid cloud environment. - Proven ability to act as a mentor for peers. Requirements - Acts as a high level escalation tier for operational support in assigned technical areas. - Conducts proof-of-concept testing in a lab environment. - Creates infrastructure design documents to outline production deployments. - Creates, updates, and maintains supporting documentation for technology standards. - Deploys new technology to production environment. - Designs infrastructure solutions to support business requirements. - Ensures assigned technologies are in alignment with the business. - Researches and implements hybrid cloud technology. - Supports high-level strategy for enterprise server environment. - Works directly with business stakeholders to gather IT infrastructure requirements. - Works with technology vendors and technical SMEs to produce corporate standards with regards to assigned technology areas. - Integrates multiple systems and/or technologies. - Acts as a team player with a high level of interpersonal skills. - Regular reliable attendance is expected and required. - Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs. - Executes good judgment and demonstrates personal accountability. - Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures. - Performs other functions as assigned by management. Benefits - Participation in group health and/or dental insurance. - Retirement plan. - Wellness program. - Paid time away from work. - Paid holidays. Compensation Range(s) - Level I Min: 79,068 Max: 142,322 - Level II Min: 87,766 Max: 157,978 - Level III Min: 98,297 Max: 176,935 - Level IV Min: 110,093 Max: 198,168 Physical Requirements - Ability to complete work in a traditional office environment under fluorescent lighting. - Ability to orally communicate. - Must be able to function while sitting at a desk viewing a computer and using a keyboard and mouse for 3 or more hours at a time. - Must be able to travel across the enterprise. - Ability to work in a home office for continuous periods of time for business continuity. - Ability to provide on-call rotation support.

• Architect and implement the MLOps strategy for the program • Design and own enterprise-grade ML/LLM pipelines • Build container-oriented ML platforms (GKE-first) • Implement hybrid MLOps + LLMOps workflows • Serve as a technical authority across multiple internal and customer projects • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems • Collaborate with cross-functional teams to deliver production-ready ML solutions • Ensure all solutions adhere to security, governance, and compliance expectations • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation • Mentor engineers and provide guidance on modern MLOps tools

Role Description You'll design and own the scalable, low-latency infrastructure that powers uRun's real-time inference runtime, the platform that makes live, interactive, multi-user AI workloads possible. - This is not classic ops or cloud management; you'll be deep in the AI runtime itself. - Latency, frame rate, and interactive quality of service are first-class platform properties. - The workloads are GPU-constrained, memory-bound, and bursty. - You will often write platform features, custom controllers, and scaling logic. - You will report directly to our founder, Keegan McCallum, and set the technical direction for the engineering organization. Qualifications - 7+ years as an engineer, with a proven track record architecting and owning large-scale production systems. - Deep Kubernetes expertise, including GPU-heavy clusters (NVIDIA tooling, autoscaling on GPU nodes) and service-mesh patterns. - Strong cloud and infrastructure-as-code experience: AWS, GCP, or Azure; Terraform, Pulumi, or equivalent; networking and security (VPC, IAM, API-gateway-style routing). - SRE-style thinking and observability depth: Prometheus/Grafana, OpenTelemetry, distributed tracing, SLOs, incident response, and post-mortems. - Proficiency in at least one of Python, Go, or TypeScript/Node.js for platform tooling, automation, and glue code. - Experience with streaming or real-time systems: WebRTC, low-latency video pipelines, or comparable latency-sensitive workloads. - A track record of mentoring engineers and influencing cross-functional teams. Requirements - Hands-on experience with GPU-constrained, memory-bound, or bursty workloads. - Experience writing custom Kubernetes controllers, scaling logic, or other platform features in-house. - Early-stage startup experience: owning ambiguous problems end-to-end and setting technical direction with limited scaffolding. Benefits - Competitive salary and meaningful equity in an early-stage AI infrastructure company. - Health, dental, and vision — full coverage. - 401(k) — company-supported retirement savings. - FSA/HSA — flexible spending accounts for healthcare costs. - Paid time off — we trust you to manage your time. - Top-tier tooling — access to the best AI tools available: Claude, Codex, Kimi, and whatever else helps you move faster. - MacBook Pro and AirPods — the hardware you need, on us. Company Description We build the stage, not the show. We're an infrastructure company, a developer-tools company, and a production partner for model labs, and focus is a deliberate choice we've made and hold to. - Day-to-day, that means a small team, a high bar, and real ownership. - You won't wait for permission or inherit a backlog of someone else's decisions. - In a founding security role, the function is what you make it. - It also means ambiguity: priorities shift, not everything is documented. - You'll often be the person who decides what "secure enough, for now" means.

• Own and scale build automation — design, build, and maintain our CI/CD infrastructure (pipelines, runners, artifact storage, signing agents, self-hosted macOS runners); ensure developers across backend, frontend, and mobile can iterate quickly without worrying about builds breaking down • Take charge of our mobile pipelines, with particular focus on iOS: automate versioning, provisioning profile management, keychain handling, automated signing, .ipa generation, TestFlight distribution, and App Store submission via Fastlane or native tooling • Embed quality and traceability into build stages — integrate linting, on-device tests (XCTest, Espresso, Appium), code coverage metrics, and build-state dashboards to reduce flakiness and turnaround time • Apply an SRE mindset to delivery — model build success/failure ratios as SLIs, define error budgets, track pipeline latency (time to green), and build alerts so broken builds are fixed within minutes • Automate for speed and reliability — build caching, parallel job orchestration, staging environment mirroring (via Terraform), and fast rollback workflows so every pipeline is idempotent and traceable. • Champion cross-team collaboration — coach developers on writing reliable Makefile/Gradle/Xcode configurations, secure signing practices, and branching models. • Lead incident response for build failure — serve on rotational pager for CI systems, drive blameless post-mortems, and automate resilient fallback logic (e.g. fallback runners, sourced caching). • Strategize adoption of next-gen tools — evaluate options like GitHub’s macOS runners, Bamboo, Bitrise, or Codemagic to support future iOS scale and cross-platform parity.