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.
๐ค 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 โข The manifesto โข 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 โข Technical assessment โข System design โข Team interview โข 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.
๐ค Apply now (We respond within three days)
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