MLabs

Senior DevOps / SRE Engineer

Remote Backend Engineering role with clear candidate location fit.

PostedJul 5, 2026

Eligible countries1 accepted country

Seniority signalSenior

Work settingRemote

Accepted candidate locations

USA

Role overview

Readable role content extracted into sections for faster review.

Plugin Runtime Ownership: Lead the evolution of the per-agent process, migrating from a distributed Go/Python hybrid to a centralized, high-performance Go service utilizing Postgres state and real-time websocket price feeds.
Rules Engine Engineering: Build a YAML-configurable "Scanner Gateway" to bridge signal production and execution, allowing for complex scoring and filtering without direct code manipulation.
Advanced Execution Systems: Develop and maintain the RatchetStop Backend, a centralized profit-trailing service capable of sub-second evaluation and websocket-based order execution to protect capital even when agents are offline.
Data & Connectivity: Manage the Model Context Protocol (MCP) server bridging agents to platform tools, and oversee a high-throughput data pipeline (Redis, Postgres, ClickHouse) for real-time market intelligence ingestion.

Infrastructure Sovereignty: Lead the technical execution of migrating agents from third-party platforms to a custom-built, Senpi-hosted environment featuring isolated workspaces and state persistence.
Model Serving: Evaluate and implement the transition from external LLM APIs (Anthropic, Google) to self-hosted inference, optimizing for telemetry capture and performance.
Telemetry & Feedback Loops: Architect systems to capture every agent decision and score, creating a self-reinforcing loop where the fleet learns and improves from collective performance data.
Deployment Pipelines: Build robust CI/CD pipelines for zero-downtime rollouts, ensuring that updates to scanner logic or runtime patches do not interrupt active market positions.

System Reliability: Design monitoring and alerting frameworks to detect agent failures, state corruption, or authentication expirations before they impact financial performance.
Cloud Orchestration: Manage AWS/EKS environments using Infrastructure-as-Code (IaC).
Incident Response: Own the operational health of the fleet, acting as the primary responder for high-stakes trading system incidents.

Technical Essentials
Expert Backend Engineering: Proficiency in writing production-grade code in Go, Python, and Node.js/TypeScript (Go is strongly preferred for runtime services).
Startup Experience: A proven track record of building complex backend services (APIs, job scheduling, distributed systems) from scratch in a fast-paced environment.
Real-Time Systems: Deep understanding of low-latency environments, websocket management, and sub-second condition evaluation.
Database Mastery: Production experience with Postgres, Redis, and at least one analytical database (e.g., ClickHouse, TimescaleDB, or BigQuery).
Orchestration: Hands-on experience deploying, scaling, and debugging production workloads on Kubernetes (AWS EKS).
End-to-End Ownership: Demonstrated ability to design, build, deploy, and maintain systems throughout their entire lifecycle.

Expert Backend Engineering: Proficiency in writing production-grade code in Go, Python, and Node.js/TypeScript (Go is strongly preferred for runtime services).
Startup Experience: A proven track record of building complex backend services (APIs, job scheduling, distributed systems) from scratch in a fast-paced environment.
Real-Time Systems: Deep understanding of low-latency environments, websocket management, and sub-second condition evaluation.
Database Mastery: Production experience with Postgres, Redis, and at least one analytical database (e.g., ClickHouse, TimescaleDB, or BigQuery).
Orchestration: Hands-on experience deploying, scaling, and debugging production workloads on Kubernetes (AWS EKS).
End-to-End Ownership: Demonstrated ability to design, build, deploy, and maintain systems throughout their entire lifecycle.
LLM Infrastructure: Experience with model serving and optimizing inference (e.g., vLLM, TGI, or TensorRT-LLM).
FinTech/Trading: Background in exchange APIs, wallet operations, or on-chain infrastructure where uptime has direct financial consequences.
Agentic Frameworks: Familiarity with Model Context Protocol (MCP) or orchestrating multi-agent platforms.
Competitive compensation and equity packages.
The opportunity to build foundational infrastructure in a new category of autonomous software.
High-autonomy environment with a focus on engineering excellence.
Collaborative culture working alongside industry-leading founders and engineers.

Preferred Qualifications
LLM Infrastructure: Experience with model serving and optimizing inference (e.g., vLLM, TGI, or TensorRT-LLM).
FinTech/Trading: Background in exchange APIs, wallet operations, or on-chain infrastructure where uptime has direct financial consequences.
Agentic Frameworks: Familiarity with Model Context Protocol (MCP) or orchestrating multi-agent platforms.

Competitive compensation and equity packages.
The opportunity to build foundational infrastructure in a new category of autonomous software.
High-autonomy environment with a focus on engineering excellence.
Collaborative culture working alongside industry-leading founders and engineers.

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