Serve as the technical lead and subject matter expert for platform integrations, developing deep expertise in our core architecture to support high-level design decisions and effective troubleshooting.
Architect, design, and maintain highly scalable, distributed applications using C#/.NET and client-installed agents, with a strong emphasis on reliability and availability in the cloud.
Leverage AI/ML techniques to improve anomaly detection, system recommendations, or integration intelligence across our platform.
Enforce high standards of code quality, performance, and security, actively reviewing code and development practices to drive engineering excellence.
Champion collaboration across disciplines — including Product, UX, Architecture, and Support — to deliver user-centric and resilient solutions.
Play a hands-on role in our Scrum teams, participating in grooming, planning, and architectural discussions while delivering production-ready features.
Ensure our systems are optimized for performance, scalability, observability, and cost-efficiency across environments.
Troubleshoot and resolve complex production issues in a cloud-first environment, working closely with Support and customers to ensure fast resolution and learning loops.
Continuously improve our tooling, automation, monitoring, testing frameworks, and incident response pipelines to support operational excellence.
Mentor and support fellow engineers, cultivating a culture of learning, innovation, and technical mastery.
Stay on the pulse of industry trends in AI, DevSecOps, and cloud-native development, and introduce relevant innovations to the team and platform.
Contribute to internal libraries, frameworks, and best practices that are shared across platform teams.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.
10+ years of professional software engineering experience, with deep expertise in C# and .NET Core.
5+ years of experience in software or solution architecture roles, ideally in a cloud-native environment.
A proven track record working in Azure Cloud environments and deploying production-grade SaaS systems.
Experience building or integrating AI/ML models (e.g., anomaly detection, classification, recommendations) into production systems is a strong plus.
Comfortable navigating polyglot environments — including Python, Go, JavaScript/TypeScript, and potentially niche stacks like Erlang — with a solid grasp of integration patterns and APIs.
Proficient with CI/CD pipelines, Azure DevOps, automated testing, and infrastructure-as-code principles.
Excellent problem-solving skills with the ability to reason through complex system interactions and understand large, evolving codebases.
Strong understanding of cloud security, privacy principles, and best practices for secure software design.
Excellent verbal and written communication skills in English, with the ability to clearly convey technical concepts to diverse audiences.
Benefits
Health insurance
Pension/retirement matching
Comprehensive life insurance
Employee assistance program
Time off plans
Paid company holidays
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