Senior DevOps / SRE Engineer - AI Trading Agents
M
MLabsFintech, AI
United States. United Kingdom, Based in US to GMT timezones, US to GMT timezonesFull-TimeSenior
Salary120000 - 150000 USD per year
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Job Details
- Required Skills
- DockerNode.jsPythonAWS EKSBlockchainKafkaKubernetesClickhouseGoGrafanaPostgresPrometheusRedisCI/CDDevOpsTerraformAnsibleDatadogHelm
Requirements
- Extensive experience in DevOps, SRE, or Infrastructure Engineering, preferably within a startup environment where systems were built from the ground up.
- Proven track record of deploying, scaling, and debugging production workloads, specifically within AWS EKS.
- Proficiency with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or equivalent frameworks.
- Hands-on experience with Docker and Helm for packaging production services.
- Experience operating production-grade data and messaging systems (Redis, Postgres/RDS, ClickHouse, Kafka).
- Strong experience with Observability Tooling: Prometheus, Grafana, Datadog, Loki, or OpenTelemetry.
- Ability to debug across multiple languages, including Python, Node.js, and Go.
- Understanding of Real-Time Systems where latency and reliability have direct financial consequences.
- Familiarity with Blockchain Infrastructure: node infrastructure, exchange APIs, wallet operations, and on-chain monitoring.
- Experience managing secrets, access controls, and production hardening for sensitive financial environments.
- Experience defining SLOs and building mature on-call practices.
- Experience with OpenClaw agent deployments and workspace templates (Preferred).
- Familiarity with Model Context Protocol (MCP) server deployment and auth management (Preferred).
- Direct experience with Hyperliquid or other decentralized exchange (DEX) protocols (Preferred).
- Background in fintech, market data infrastructure, or high-frequency trading systems (Preferred).
Responsibilities
- Build and maintain the infrastructure for concurrent AI trading agents, managing complex cron schedules, state files, and trailing stop processes.
- Deploy and manage agent environments, including workspace persistence, isolated session management, and Model Context Protocol (MCP) server connectivity.
- Design and operate pipelines for shipping trading skills and plugins to production without interrupting live trading activity.
- Execute deployment strategies (blue/green, canary) ensuring active financial positions remain protected during every infrastructure change.
- Build comprehensive alerting across the full stack using metrics, logs, and traces to detect agent failures, state file corruption, or infrastructure regressions before financial loss occurs.
- Operate and scale core platform infrastructure, including Kubernetes (EKS) clusters, Redis, Postgres, ClickHouse, and Kafka.
- Maintain blockchain node infrastructure and ensure stable connectivity to exchange APIs and on-chain transaction systems.
- Lead incident response and on-call practices, including debugging, mitigation, and post-mortems to improve long-term platform reliability.
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