Top Tech Jobs & Startup Jobs

Design, build, and maintain infrastructure and backend platform services on Azure (AKS, networking, storage, identity). Own platform capabilities (compute, orchestration, CI/CD, IaC, secrets, observability), optimize performance for high-volume data, support AuthN/AuthZ/CIAM, participate in architecture reviews, code reviews, and on-call rotations, and collaborate with cross-functional teams.

Design, build, deploy, and operate production-grade backend services for healthcare intelligence. Own service architecture, APIs, observability, reliability, security, CI/CD, and cloud-native platform integrations to support AI-enabled workflows and scalable production systems.

The Partner Research & Success Manager will enhance client relationships, support onboarding and education, manage projects, and drive operational efficiency to deliver maximum value to customers.

The Product Manager will lead the strategy and execution of Truveta's data onboarding platform, improving healthcare data connectivity and operational efficiency while collaborating with engineering teams and healthcare partners.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

The Senior IT Engineer will manage and support the network infrastructure, firewalls, and secure connectivity solutions while troubleshooting issues and ensuring high availability of services.

Lead design, build, deploy, and operate cloud-native infrastructure services on Azure. Build Kubernetes-based platforms, integrate open-source tools (service mesh, API gateway, workflow orchestration), drive automation, observability, incident response, and reliability. Mentor engineers, set operational standards, and collaborate with product, security, and architecture teams to deliver scalable, secure platform capabilities.

Develop, operate, and automate cloud-native infrastructure services on Azure using Kubernetes and open-source tools (Istio, Kong, Conductor). Improve observability, reliability, CI/CD, and platform tooling; participate in incident response, troubleshooting, and collaborate with product, security, and architecture teams.

Design, build, and operate secure, scalable cloud-native backend systems for unstructured data and AI workloads. Partner with platform, security, and ML teams to create microservices, APIs, and data pipelines, deploy large-scale ML models, and deliver self-service capabilities while prioritizing privacy, ethics, and reliability.