Remote Software engineering Jobs · Kubernetes

Design, develop, and maintain backend services and scripts using Python. Integrate our product with 3rd-Party design solutions, like Siemens NX, CATIA, or PTC. Design, develop, and maintain data models using Protobuf. Collaborate with cross-functional teams, including product managers, engineers and researchers. Write clean, well-documented, fast, and maintainable code.

As a Senior Software Engineer II, you will maintain, improve, and expand Aledade's web application and data pipelines, creating secure, maintainable, performant, correct, scalable, and stable solutions to complex challenges in the healthcare industry. The candidate will partner with Engineering Managers, Product Managers, and stakeholders, as a peer, to develop and execute technical roadmaps using Agile processes and mentor and coach junior engineers.

With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting keep the lights on & on-call efforts.

You’ll do this by building user-facing products that are shared across multiple products, including login, user & permission management, billing & invoicing, metrics & reporting, and more. This role requires working with product managers and subject matter experts to distill complex requirements into incrementally valuable plans to build well-tailored, manageable software systems. This is a true full-stack role working 50% frontend and 50% backend.

You’ll work across a range of areas — from control plane services and automation to operational tooling and developer experience. This is a flexible, full-stack systems role for an engineer who thrives in environments where boundaries are fluid, problems are complex, and impact is tangible.

Lead the design of robust, scalable, and cloud-native solutions. You will design and guide the architecture of microservices, serverless, and modular solutions, as well as lead integration initiatives across systems and platforms. This role involves collaborating with cross-functional teams to ensure scalable, secure, and high-performance applications and supporting cloud migration and modernization efforts, plus providing technical leadership and architectural governance.

Architect and implement robust integrations for large language models into the North platform, ensuring seamless scalability and performance. Collaborate with modelling teams to refine LLM performance, reduce latency, and improve accuracy through iterative testing and tuning. Develop and maintain tools for analysing and monitoring model performance, enabling data-driven improvements. Take end-to-end ownership of features, maintaining high communication standards.

We are seeking a highly skilled Machine Learning Engineer focused on MLOps to bridge the gap between model research and real-world application. Your primary responsibility will be to design, build, and maintain the robust, scalable infrastructure and pipelines required to deploy, monitor, and manage machine learning models in production environments.

This Backend Engineer position for our Verify: CI Functions Platform team is 100% remote. As a Backend Engineer in our Verify: CI Functions Platform team, you'll play a key role on a team whose mission is to re-architect GitLab Runner to support ultra-scale CI/CD operations and build the foundational platform for CI Functions.

Play a foundational role in shaping our white-label trading platform—from C# microservices running on Kubernetes to the React-based experiences that partners customize for their traders. Be instrumental in our architectural modernization, establishing patterns that enable teams to move fast with confidence while maintaining the reliability and flexibility that our partners demand. Own features end-to-end, design for multi-tenancy and partner customization, establish reusable patterns that scale across teams, and mentor engineers.