MLOps-focused Infrastructure Engineer for AI/ML Platform

Raw Power Labs is a sister company to Raw Power Games. Our mission is to bring the power of AI into the hands of game creators, enabling them to craft their vision of unique and immersive user experiences.

We aim to transform cutting-edge AI research into practical solutions that help create amazing game experiences. We believe this can be achieved by offering the best possible work culture to our employees where we can dream big and run experiments. We recognize that experimentation and embracing new and different approaches require taking risks and sometimes result in failures, but that is also how we learn and grow!

Currently, we are an innovation team of 15 and growing. We share their values of trust, transparency and empathy and strive to be the best workplace in the industry. Besides an adventure, here is what we’re offering:

• Competitive salaries.
• Supplemental pension contributions.
• 30 days of annual vacation.
• Flexible work hours, remote when you need to.
• Low hierarchy, your respectful feedback is welcome.
• Great focus on work/life balance.
• Bleeding edge tech stack.
• Skilled co-workers who are driven by a passion for creating beautiful games and cool tech.

So if you are kind-hearted, curious in nature and passionate about AI and games read on, and consider joining our journey to build an amazing company.

About the Role

We are seeking an experienced Platform Infrastructure Engineer who is passionate about MLOps and AI infrastructure, with strong backend development skills to help drive our cutting-edge generative AI platform. You'll be at the heart of designing and maintaining the infrastructure that powers our AI model training, inference, and deployment systems, while also contributing to our C#/.NET backend development as we scale our platform. This role offers the opportunity to shape both our ML infrastructure and application architecture. C++ integration experience is a valuable bonus that would enhance your impact across our full technology stack.

Responsibilities

MLOps & AI Infrastructure Leadership

• Design and implement scalable ML training and inference pipelines using AWS container orchestration, managed ML services, and auto-scaling technologies
• Architect and manage containerized workloads for AI model training, conversion, and deployment
• Optimize cost and performance of GPU-accelerated compute infrastructure
• Build robust monitoring, logging, and alerting systems for production ML workloads
• Drive ML infrastructure strategy and best practices across the organization
• Lead migration and adaptation between different cloud architecture patterns based on evolving requirements

Backend Development & Platform Operations

• Maintain and extend our C#/.NET backend APIs and microservices architecture
• Collaborate on feature development and technical architecture decisions
• Manage complete application infrastructure including web services, databases, and supporting systems
• Implement and maintain CI/CD pipelines for both ML models and application deployments
• Ensure platform security, performance, and reliability across all services

What We're Looking For

Essential Skills

• 5+ years in DevOps, Platform Engineering, or MLOps with deep AWS ecosystem experience and ability to adapt between different cloud architecture patterns
• Strong hands-on experience with C#/.NET development and modern backend practices
• Proven expertise with containerization, infrastructure as code, and CI/CD systems
• Deep understanding of ML/AI workloads, model deployment, and production ML systems
• Experience with microservices architecture, APIs, and database management

Ideal Candidate

• Passionate about solving complex infrastructure challenges in AI/ML environments
• Enjoys working across the full technology stack from infrastructure to application code
• Thrives in fast-paced environments with evolving technical requirements
• Strong problem-solving mindset with excellent communication skills
• Self-motivated with ability to drive technical decisions independently

Great if you also have:

• C++ development experiece with cross-platform build systems
• Background in game development or real-time systems
• Experience with GPU computing and AI inference optimization

What You'll Work With

• MLOps Stack: AWS container services, managed ML platforms, Docker, Terraform, model serving infrastructure
• Backend Platform: C#/.NET Core, REST APIs, microservices, PostgreSQL
• Development Tools: GitHub Actions, monitoring systems, infrastructure automation
• AI/ML Tools: Training pipelines, inference optimization, model deployment platforms
• Bonus: C++ toolchains, CMake, cross-platform development environments

We know it's hard to fulfill all qualifications, so if you think you might still have a lot to offer our team, don't hesitate to send your resume.

Diversity and Culture

We strongly believe in a discrimination-free workplace. Harassment, bullying, and exclusionary practices are not tolerated. We embrace the diversity of experience, perspectives, and background - they help us create a people-positive work environment and innovative solutions.