• Deliver engineering work on client-facing services and consulting projects, contributing directly to outcomes related data pipelines, platform deployments, observability, and infrastructure modernization specifically focused on Databricks • Build internal tools, frameworks, and automations that reduce delivery friction and accelerate the onboarding, monitoring, and support of client environments • Collaborate with Platform Services and Engineering team to develop and evolve delivery playbooks, onboarding guides, and Databricks platform best practices aligned with our initiatives • Evaluate and implement new technologies that enhance platform resiliency, delivery velocity, and engineering consistency

• Own Kubernetes operations end-to-end: upgrades, capacity, networking, RBAC, manifests/Helm charts • Run and evolve cloud infrastructure on AWS, GCP, Azure • Operate and extend on-premise confidential compute footprint • Own observability for the platform • Maintain provisioning and configuration via Ansible and IaC

Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation. About the role We are seeking a Principal Platform Engineer to lead the design, development, and deployment of our next-generation Kubernetes platform. In this role, you will define what production excellence looks like at scale: a global, self-healing, autoscaling Kubernetes platform with strong observability, security, and cost efficiency, capable of supporting millions of users. As a technical leader and hands-on architect, you will build and evolve cloud-native and serverless systems on Kubernetes, writing complex manifests, operators, and controllers from scratch. You will set standards and best practices across the company, ensuring platform tooling is well-documented, reliable, and continuously improved, while enabling developer teams to deploy applications with speed, confidence, and minimal friction. Responsibilities Architect and implement end-to-end Kubernetes infrastructure for large-scale, cloud-native applications Design and build serverless platforms on top of Kubernetes using technologies such as Knative, OpenFaaS, or KEDA Develop and maintain Kubernetes custom resources (CRDs), controllers, operators, and admission controllers in Go or Python Define multi-tenant, multi-region architecture supporting millions of users with high availability and low latency Lead Kubernetes cluster lifecycle management - provisioning, upgrades, scaling, monitoring, troubleshooting Collaborate closely with engineering teams to containerize applications, write Helm charts or Kustomize overlays, and standardize deployment practices Implement infrastructure as code using tools like Terraform, Pulumi, or Crossplane Lead efforts around observability, policy enforcement, cost optimization, and RBAC/security hardening within the cluster Evaluate and integrate Kubernetes ecosystem tools - Istio/Linkerd, ArgoCD, Flux, Prometheus, Grafana, OPA Mentor and upskill DevOps engineers and SREs in Kubernetes best practices Required Experience Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience 8+ years of experience in cloud infrastructure, DevOps, or platform engineering roles 8+ years of hands-on Kubernetes experience, including deep knowledge of the Kubernetes API, internals, networking, and storage Proficiency in writing Kubernetes manifests, Helm charts, and custom Kubernetes controllers/operators Proven experience designing cloud-native systems that scale globally - multi-region, multi-cloud or hybrid setups Experience with serverless technologies in production - Knative, OpenFaaS, AWS Lambda Strong knowledge of cloud platforms such as AWS, GCP, or Azure Experience with GitOps tools - ArgoCD, Flux Deep understanding of security, compliance, and resilience in containerized workloads Preferred Experience Contributions to Kubernetes open-source projects or CNCF-related tooling Experience with service mesh design (Istio, Linkerd) Familiarity with eBPF, Cilium, or network-level observability Background in building PaaS or developer platforms on top of Kubernetes What We Bring Mission driven company Competitive Salary Stock Options 100% paid Medical, Dental, and Vision insurance Flexible PTO Paid Holidays 401(k) Parental Leave Flexible Spending Account Short Term Disability Insurance Life and Voluntary Supplemental Insurance Mental Health Benefits through Spring Health We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future. Tensorwave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, national origin, or veteran status.

• Demonstrate solid technical skills and expertise in Microsoft Dynamics 365 (Model-driven apps), Power Platform, Power Pages, and cloud technologies. • Analyze business needs and recommend appropriate technical solutions using Dynamics 365 and the Power Platform. • Develop and configure solutions in Dynamics 365 CE, Power Platform, and Power Pages. • Design, develop, and maintain custom plugins, workflows, and client-side scripts (JavaScript/XRM API) to extend platform functionality. • Participate in peer code reviews to maintain code quality and adherence to standards. • Follow cybersecurity best practices, participate in audits/training, and respond to incidents when required .