We are hiring a platform engineer
Build and maintain the infrastructure backbone for AI, blockchain, and agent systems. Design data pipelines, manage cloud platforms, and ensure reliability of complex distributed systems that power cutting-edge technology projects.
🤘 Apply now (We respond within three days)
About Dwarves
Since 2015, we've been a research-focused technology firm that helps companies build top-notch software and invest in ambitious people pursuing world-changing innovations. We're profitable since day 1 and build our reputation through technical excellence and knowledge sharing.
Our platform engineering approach focuses on infrastructure for the future: building scalable, reliable systems that support AI agents, blockchain applications, and data-intensive consulting projects.
Life at Dwarves • The manifesto • Culture handbook
Want to see our research-first approach in action? Explore our memo site to understand how we build credibility through knowledge sharing.
What you'll do
- Build data infrastructure: Design and maintain data pipelines for AI/ML systems, vector databases, and real-time analytics that power intelligent applications
- Manage cloud platforms: Deploy and scale infrastructure on AWS/GCP/Azure for diverse client projects including blockchain networks and agent systems
- Ensure system reliability: Implement monitoring, alerting, and automated recovery for complex distributed systems with high availability requirements
- Support emerging technologies: Build infrastructure for AI agents, blockchain applications, and experimental technologies that our consulting team develops
- Collaborate with engineering teams: Work closely with developers to optimize performance, security, and scalability of client solutions
What we're looking for
Platform and data engineering experience
- 3+ years in platform engineering, DevOps, or SRE roles
- Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
- Strong understanding of data pipelines, databases (SQL and NoSQL), and real-time streaming systems
- Knowledge of CI/CD pipelines, infrastructure as code, and monitoring systems
Emerging technology and troubleshooting skills
- Interest in AI/ML infrastructure, model deployment, and agent systems
- Ability to understand and troubleshoot agent systems and data-heavy applications
- Basic understanding of blockchain networks and distributed systems
- Strong incident response skills and experience optimizing system performance
Collaboration and documentation
- Ability to work with engineering teams to optimize performance and scalability
- Understanding of data flow and system interactions in multi-agent or data-intensive environments
- Experience documenting infrastructure and creating runbooks for complex systems
What you can expect
- Build infrastructure for cutting-edge AI, blockchain, and agent systems
- Work with a profitable, research-first consulting firm tackling complex technical challenges
- Collaborate with talented engineers working on innovative client projects
- Access to learning resources and conferences to stay current with platform engineering trends
Our interview process
Screening • Technical assessment • System design • Team interview • Offer
Technical assessment
Hands-on evaluation of your infrastructure and data pipeline skills.
System design
Design infrastructure architecture for a complex system involving AI, data processing, and high availability requirements.
Team interview
Conversation about collaboration with engineering teams, troubleshooting approach, and platform philosophy.
🤘 Apply now (We respond within three days)
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