About the Role At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution. Our flagship platform is currently under development. As our DevOps Engineer , you will bridge our backend systems (strategy engine, broker APIs) and frontend applications (analytics dashboards, client portals). You will own the design and execution of scalable infrastructure, CI/CD automation, and system observability in a high-frequency, multi-tenant trading environment. This role is central to deploying our containerized strategy engine (Lean-based), while ensuring data integrity, latency optimization, and cost-efficient scalability. We are a remote-first team and are open to hiring exceptional candidates globally. Key Responsibilities Design secure, scalable environments for containerized, multi-tenant API services and user-isolated strategy runners. Implement low-latency cloud infrastructure across development, staging, and production environments. Automate the CI/CD lifecycle, from pipeline design to versioned production deployment (GitHub Actions, GitLab CI, etc.). Manage Dockerized containers and orchestrate deployment with Kubernetes, ECS, or similar systems. Collaborate with backend and frontend teams to define infrastructure and deployment workflows. Optimize and monitor high-throughput data pipelines for strategy engines using tools like ClickHouse. Integrate observability stacks: Prometheus, Grafana, ELK, or Datadog for logs, metrics, and alerts. Support automated rollbacks, canary releases, and resilient deployment practices. Automate infrastructure provisioning using Terraform or Ansible (Infrastructure as Code). Ensure system security, audit readiness (SOC2, GDPR, SEBI), and comprehensive access control logging. Contribute to high-availability architecture and event-driven design for alerting and strategy signals. Technical Competencies Required Cloud: AWS (preferred), GCP, or Azure. Containerization: Proficiency with Docker and orchestration tools (Kubernetes, ECS, etc.). CI/CD: Experience with YAML-based pipelines using GitHub Actions, GitLab CI/CD, or similar tools. Data Systems: Familiarity with PostgreSQL, MongoDB, ClickHouse, or Supabase. Monitoring: Setup and scaling of observability tools like Prometheus, ELK Stack, or Datadog. Distributed Systems: Strong understanding of scalable microservices, caching, and message queues. Event-Driven Architecture: Experience with Kafka, Redis Streams, or AWS SNS/SQS (preferred). Cost Optimization: Ability to build cold-start strategy runners and enable cloud auto-scaling. 0–3 years of experience. Nice-to-Haves Experience with real-time or high-frequency trading systems. Familiarity with broker integrations and exchange APIs (e.g., Zerodha, Dhan). Understanding of IAM, role-based access control systems, and multi-region deployments. Educational background from Tier-I or Tier-II institutions with strong CS fundamentals, passion for scalable infrastructure, and a drive to build cutting-edge fintech systems. What We Offer Opportunity to shape the core DevOps and infrastructure for a next-generation fintech product. Exposure to real-time strategy execution, backtesting systems, and quantitative modeling. Competitive compensation with performance-based bonuses. Remote-friendly culture with async-first communication. Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna. Show more Show less