Job Opportunities API

Location:  New York, United States (Hybrid)  Hybrid | Full-time Compensation:  $180K - $320K Our client operates a leading decentralized perpetual exchange, managing tens of billions in cumulative trading volume and bringing global markets—including commodities, forex, indices, stocks, and cryptocurrency—onchain with full self-custody. To support next-generation scalability, our client is seeking a Senior Infrastructure & Data Engineer. This pivotal position involves spearheading high-impact infrastructure initiatives, migrating core applications to an advanced, state-of-the-art infrastructure layer, and optimizing high-volume data pipelines. The ideal candidate will design an environment where development teams can seamlessly self-serve up to 90% of their infrastructure needs, allowing this role to focus on high-level architecture, latency reduction, and strategic data engineering. Key Responsibilities Infrastructure Migration & Evolution: Lead the migration of core services from legacy environments to a robust, highly optimized new infrastructure. Infrastructure as Code (IaC): Utilize 100% IaC principles to build, maintain, deploy, and manage all applications and services, prioritizing lower latency and higher visibility. Data Pipeline Optimization: Maintain, improve, and optimize a high-scale data pipeline to handle massive transaction volumes effectively, moving it beyond a standard setup to meet unique business requirements. Developer Empowerment: Build out a self-serve platform that enables internal software engineers to deploy new applications, request infrastructure, configure monitoring, and set up alerts autonomously. Internal Tooling Maturity: Mature and scale the in-house testing and validation tool ("Stack Orchestrator") so that developers can test applications locally in multiple environments and run multiple agents in parallel. Performance & Security: Drive down latency for critical-path applications by collaborating with application teams and contributing to application code. Maintain a proactive security posture by anticipating system vulnerabilities and running contained, simulated attacks using automated test suites and AI tools. Requirements Technical Experience Core Infrastructure Foundations: Mastery of networking, security protocols, identity and access control, and systems architecture. Containerization & Orchestration: Strong experience building and maintaining production workloads with Kubernetes, including deep knowledge of ecosystem best practices. DevOps & CI/CD Tooling: Hands-on expertise with Terraform, ArgoCD, GitHub Actions, Docker, Prometheus, and Grafana. Must be a strong advocate for pure Infrastructure as Code (IaC). Data Engineering & Storage: Proven experience with modern data modeling tools (such as DBT or SQLMesh) and data orchestration platforms (such as Airflow, Dagster, or Prefect). Database Management: Competency working with Postgres and ClickHouse for high-throughput applications. Professional Attributes Security-First Mindset: A continuous focus on minimizing attack vectors and hardening system endpoints. AI Tool Integration: High proficiency using AI productivity tools effectively—validating outputs, setting up guardrails, and avoiding passive code reliance. Solution-Oriented Leadership: A commitment to unlocking velocity for development teams, prioritizing high-value impact, and defining an autonomous path forward. Collaborative & Adaptable: A low-ego, team-first mentality with a strong willingness to learn from cross-functional peers, including quants, software developers, and operations teams. Execution Alignment: Ability to practice healthy debate during the planning phase, followed by total commitment and execution once organizational decisions are finalized. Benefits Competitive base salary. Comprehensive token and equity compensatio