Top Engineering Jobs

As a founding engineer, you'll help shape Valerie Health’s technical foundation, design and implement backend infrastructure, build AI models, and create user experiences.

Support development, optimization, and stabilization of electrode, cell assembly, and formation processes. Monitor production KPIs, analyze process and quality data, run DOE, troubleshoot equipment, prepare samples, update SOPs, and collaborate with R&D, Quality, and Production teams to implement process improvements.

The Microsoft Exchange and Teams Engineer will administer messaging and communication solutions, focusing on Microsoft Exchange and Teams, while leading related projects and providing escalated support.

Own and deliver server-side features end-to-end for a cloud-hosted accounting SaaS: design data models and APIs, improve performance and reliability, mentor engineers, ensure observability and on-call readiness, collaborate with product and clients, and apply AI-assisted development safely to accelerate delivery.

Lead technical discovery with school customers, translate needs into buildable solutions, prototype and implement on company infrastructure, own deployments end-to-end, partner with Sales/Engineering/DevOps to close deals, communicate timelines, feed product roadmap, and mentor junior engineers.

The Sr. DevOps Engineer will manage cloud infrastructure, ensuring efficient deployment and maintenance with extensive use of AWS and Cassandra.

Lead a team of engineers to maintain software stability and performance, manage escalations, and ensure regulatory compliance for medical device software.

The Staff Platform Engineer will build and manage the infrastructure for an AI platform, ensuring reliability, security, and compliance while collaborating cross-functionally to support AI-driven features.

Design, develop, test, implement, and support Salesforce applications and integrations. Write Apex and Lightning Web Components, perform code reviews, build test plans, troubleshoot issues, and create process flows and technical specifications. Collaborate with cross-functional teams to improve performance, availability, and delivery of Salesforce solutions.

Build reusable AI developer tools, RAG knowledge systems, and AI-assisted SDLC workflows. Integrate coding assistants and design-to-code tooling, define secure observable patterns, and own reliability, usage, and cost for internal AI platforms.