In this role, you'll help shape the platform that powers all of R&D teams. You'll lead technical decisions, design scalable cloud infrastructure, build high-performance services, and drive engineering excellence across the organization. This is a highly hands-on role for someone who enjoys solving complex technical challenges while influencing architecture, scalability, and developer experience.
What You'll Do
Design, build, and maintain scalable backend services using C# and .NET Core.
Lead the design and evolution of our cloud-native platform and microservices architecture.
Build infrastructure and developer platforms that enable engineering teams to move faster.
Work with Kubernetes, Docker, and cloud platforms (Azure, AWS, or GCP).
Drive architectural decisions with a strong focus on scalability, reliability, security, and performance.
Collaborate closely with engineering teams to improve developer experience and platform capabilities.
Mentor engineers and serve as a technical leader across multiple teams.
4+ years of experience building cloud-native systems using Azure, AWS, or GCP.
Strong experience with Kubernetes and Docker.
Expert-level proficiency in object-oriented programming languages such as C#/.NET Core or Java
Proven experience designing and building highly scalable RESTful microservices.
Experience in Platform Engineering or Infrastructure Engineering.
Strong knowledge of relational and NoSQL databases, including MSSQL and MongoDB.
Daily hands-on experience using AI coding tools such as Cursor, Claude Code, GitHub Copilot, or similar as a core part of the development workflow.
Experience working in a spec-driven development process, using AI agents to accelerate implementation while validating code quality, architecture, security, and performance.
Passion for adopting new AI tools and engineering workflows, with a strong focus on testing, observability, and code quality.
Excellent communication skills and the ability to influence technical decisions across teams.
