Rust Software Engineer

MLabs•San Francisco, CA

5d•$185,000 - $400,000•Onsite

About The Position

Join a cutting-edge team building high-performance financial systems on a rapidly growing platform! We are seeking an experienced Infrastructure & Platform Engineer to help shape the core components of our scalable, real-time infrastructure. You will be joining our Infrastructure & Platform team, which is focused on designing, deploying, and operating core components—including compute, storage, and networking—for scalable, high-performance systems and services. Your work will directly support a transformative project that is critical to the broader crypto derivatives market, giving users more flexibility in collateral management and expanding the capabilities of our platform. We are looking for a candidate with a strong background in developing production-grade infrastructure and a deep commitment to high-performance, resilient systems.

Requirements

3+ years of experience building production-grade infrastructure in cloud or on-prem environments.
Strong scripting and development skills, particularly in Rust and other low-level programming languages.
Deep expertise managing compute instances directly (e.g., VMs) and/or experience with container orchestration (e.g., Docker, Kubernetes).
Solid understanding of networking fundamentals, including VPCs, subnets, load balancers, NAT, VPN, and network security.
Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure as code practices (e.g., Terraform, CloudFormation).
Proven track record with time-series databases (e.g., TimescaleDB, InfluxDB) and key-value stores (e.g., DynamoDB, Redis).
Experience profiling and optimizing low-level system performance under high load conditions.
Must be authorized to work in the United States.

Responsibilities

Develop robust scripts and services to ensure speed and reliability in demanding, real-time environments.
Manage and deploy compute resources and containers for custom services and integrations.
Automate essential functions like scaling, load balancing, and congestion control across both compute and database layers.
Build and maintain CI/CD pipelines for automated deployment, seamless rollback, and continuous delivery.
Monitor system performance across CPU, memory, I/O, and network, tuning configurations for maximum throughput and resiliency.
Develop indexing and explorer services to create live, fast, and expressive data channels for users.
Provision and optimize diverse database systems, including those for time series, relational SQL, key-value, and in-memory workloads.