Infrastructure/Data Engineer

Key Responsibilities

• Lead the migration of core services from legacy environments to a robust, highly optimized new infrastructure
• Utilize 100% Infrastructure as Code (IaC) principles to build, maintain, deploy, and manage all applications and services, prioritizing lower latency and higher visibility
• 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
• Build out a self-serve platform that enables internal software engineers to deploy new applications, request infrastructure, configure monitoring, and set up alerts autonomously
• 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
• 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

• 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 compensation package
• Opportunity to work at the forefront of global decentralized financial infrastructure

Interview Process

• Hiring Manager Interview: An introductory conversation with the Backend Team Lead
• Technical Interview (System Design): A deep dive into architecture and infrastructure systems design
• Technical Interview (AI Coding Round): A practical hands-on session evaluating technical problem-solving and AI tool utilization
• Final Interview: A concluding discussion focused on cultural alignment and executive evaluation with the Chief Technology Officer (CTO)