• Design, build, and maintain scalable infrastructure automation pipelines using Jenkins and scripted pipelines in Groovy. • Automate infrastructure provisioning, configuration, patching, deployment, and more with Ansible and Terraform • Develop tooling and automation scripts in Groovy, Ansible, Bash, Python • Operate and troubleshoot Linux-based systems, with expertise in performance tuning, remote access, and system hardening. • Work hands-on with a range of AWS services: EC2, ECS, Lambda, CloudWatch, IAM, S3, SNS, and more. • Collaborate across Dev, QA, and IT teams to deliver outcomes driven by business requirements • Monitor and improve system availability, reliability, and security. • Maintain clear documentation for infrastructure, processes, and standards.

• Automate the deployment, monitoring, and testing processes for blockchain node infrastructure. • Work with Kubernetes and cloud infrastructure, including managed control planes. • Collaborate with software teams to ensure smooth operations and support production releases. • Shape the team's technical vision by integrating industry best practices with forward-thinking solutions. • Ensure data security through compliance with standards such as SOC2. • Support recruitment, training, and mentorship of other engineers. • Participate in and support the on-call rotation to ensure uptime and operational success.

• Improve fault-tolerance and maintainability of code in proprietary data pipelines and trading systems • Diagnose and fix bugs in code • Lead complex deployments • Automate manual workflows • Track and prioritize outstanding production-related issues • Share an on-call rotation responding to incidents to ensure the continuous operation of production-critical systems

• You will own the end-to-end reliability and performance of many of our most critical systems. • Working in lockstep with Product and Engineering, you will design, build, and refine the platform that our application and AI features run on, from Kubernetes and databases through CI/CD and observability. • You will focus on keeping our systems fast, reliable, and easy for developers to work with. • You will work on real infrastructure that supports features people use every day—things like: • Continuing to improve and iterate on our observability stack that includes Kibana, Grafana, OTel, and Elastic. • Database performance improvements by analyzing slow and high-volume queries, tuning indexes, optimizing query patterns and timing, and recommending schema and code changes to keep QPS and latency low. • Kubernetes improvements and upgrades, including deploying new services, improving resource utilization, tightening security, and standardizing deployment patterns across teams. • Improving CI/CD pipelines for both backend and frontend services so engineers can ship quickly and safely, with clear feedback loops, fast build times, and reliable rollbacks. • Enhancing the local developer experience so that running and debugging the app locally feels fast, consistent, and representative of production. • Helping improve our CI/CD and observability for our ML pipeline and models, bringing MLOps best practices into our existing infrastructure.