Lead design and build of high‑performance, cloud‑native applications and AI agentic platforms on GCP and Azure, driving DevOps practices and mentoring engineering teams.
Responsibilities
Design and build mission‑critical, highly available applications on Google Cloud Platform and Microsoft Azure
Architect, build, and deploy containerized microservices using Kubernetes, including networking, ingress, service mesh, and Helm charts
Develop full‑stack software in Python and Go, implementing modern client‑server patterns, REST/gRPC APIs, and event‑driven architectures
Create and evolve AI agentic platforms with Model Context Protocol (MCP) servers, gateways, and Agent‑to‑Agent orchestration
Define and enforce enterprise‑grade authentication and authorization frameworks (OAuth2, OIDC, mTLS, SPIFFE/SPIRE, RBAC/ABAC)
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
Site Reliability Engineer to scale platform reliability, observability, and operations
Responsibilities
Design, build, and maintain scalable infrastructure for real-time analytics and machine learning workloads
Improve system reliability and performance through automation, observability, and proactive capacity planning
Respond to customer support and site operations issues in a timely manner with call-in rotation
Own and evolve CI/CD pipelines, deployment automation, rollback mechanisms, and config management
Own processes around Supercomputing facility physical support, device management, inventory, basic network and system administration, NVidia DGX cluster administration and advanced datacenter systems
The Systems Engineer II will build, run, and improve the platforms that connect Torus sites: provisioning and operating systems, secure remote access, telemetry collection, and the integration of industrial controllers and facility equipment into our central monitoring environment.
Compensation
$100,000 - 160,000
Responsibilities
Provisioning and operating systems
Administer and operate MAAS for bare-metal provisioning
Build and maintain standardized OS images and cloud-init configurations for Linux hosts
Automate OS patching, configuration management, and baseline compliance
Secure remote access and connectivity using Tailscale
Requirements
Bachelor's degree in IT, computer science, engineering, or a related field, or equivalent practical experience
Lead a team responsible for delivering excellent technical account management, with a focus on guiding the seamless onboarding of new customers. Ensure team success in building strong customer relationships, addressing technical issues related to observability, and maintaining data-driven operational excellence.
Compensation
The on-target earnings range for this role is $220,000 - $260,000.
Responsibilities
Lead, mentor, and manage a team of TAMs to ensure successful customer onboarding and long-term success
Develop KPIs for the team and track performance related to the onboarding experience, ensuring customer satisfaction
Provide technical guidance and foster team collaboration on observability tools and log analytics
Oversee the implementation of observability tools, guiding customers through Logs, Metric and Traces monitoring, and real-time analysis
Ensure that your team delivers expert-level onboarding and ongoing work, for our observability and logging solutions
Minimum 7 years of professional experience testing distributed software systems, APIs, data pipelines, and enterprise applications.
Strong experience designing, developing, and maintaining automated test frameworks and test suites.
Proficiency with automation testing tools and frameworks such as Cucumber, Selenium, Playwright, Power Automate, Rest Assured, Postman, or equivalent technologies.
Strong programming skills in TypeScript/JavaScript, Java and/or Python with the ability to develop automated functional, integration, API, regression, and performance test solutions.
Experience testing microservices-based architectures, event-driven systems, and distributed applications.