Location: Remote from anywhere
Start date: ASAP
Languages: English (required)
Pragmatike is hiring on behalf of a fast-growing AI and trading startup building the first orchestration protocol that unifies all trading dimensions—signals, data, products, and venues—under a single AI-powered layer. The platform enables seamless trading across crypto and traditional financial markets using institutional-grade, AI-driven strategies.
The company is revolutionizing algorithmic trading through AI-powered autonomous agents that operate 24/7, removing emotional bias and optimizing execution. During its beta phase, the platform has already managed $500,000+ in assets and is scaling rapidly to support thousands of agents across multiple trading venues. The company is backed by a leading institutional investor in digital assets.
We are looking for a Backend / DevOps Engineer to own and scale the infrastructure, security, and operational backbone of the platform as it grows from early traction to institutional scale.
Design, build, and operate scalable production infrastructure using Docker, Kubernetes, and AWS/GCP
Own deployment architecture and runtime environments for execution nodes and backend services
Build and maintain secure key management systems for API keys, wallets, and exchange integrations
Implement monitoring, logging, alerting, and incident response for mission-critical systems
Set up and maintain CI/CD pipelines and developer workflows (GitHub Actions)
Optimize infrastructure for reliability, security, performance, and cost
Collaborate closely with backend engineers supporting execution, settlement, and receipts systems
Ensure platform stability as the system scales to thousands of autonomous trading agents
Contribute to infrastructure best practices, automation, and operational documentation
5+ years of experience in Backend, DevOps, Platform, or Infrastructure Engineering
Strong hands-on experience with Docker and Kubernetes in production
Solid experience operating systems on AWS and/or GCP
Security-first mindset with experience in key management, access control, and secrets handling
Experience with monitoring and observability tooling (Prometheus, Grafana, ELK or similar)
Strong scripting skills in Python, Bash, or similar
Experience running production systems with on-call ownership and incident response
Background in fintech, trading systems, or Web3 infrastructure
Experience supporting high-frequency or low-latency systems
Familiarity with crypto exchanges, wallets, or custody systems
Experience scaling distributed systems under real financial risk
Startup experience or comfort working in fast-moving, ambiguous environments
Own core infrastructure for an AI-first trading platform
Direct impact on security, reliability, and execution quality of real-money systems
Exposure to both crypto and traditional financial markets
Backing from a top-tier institutional investor
High ownership and influence over production systems
Work at the intersection of AI, trading, and distributed systems
Infrastructure: Docker, Kubernetes, AWS, GCP, GitHub Actions
Backend: Node.js, Go, PostgreSQL, Redis
Security: Key management systems, wallet abstraction
Monitoring: Prometheus, Grafana, ELK
Competitive salary commensurate with experience
Flexible PTO and sick leave
Fully remote-friendly with flexible working hours
Access to cutting-edge AI and trading technologies
Opportunity to design and own core infrastructure
Direct impact on platform reliability and security