Senior DevOps / SRE Engineer

🕒 April 1

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MLabs

WebsiteLinkedInAll Job Openings

51 - 200 employees

MLabs Consulting helps to setup project specification, implementation, management and maintenance of technical projects for AI, Fintech, Information Technology and more. We specialise in functional programming, compilers, AI, DevOps and full-stack development.

📋 Description

• 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.

🎯 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 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 Prometheus, Grafana, Datadog, Loki, or OpenTelemetry to build proactive operational visibility. • Ability to debug across multiple languages, including Python, Node.js, and Go. • Understanding of systems where latency and reliability have direct financial consequences. • Familiarity with 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.

🏖️ Benefits

• Opportunity to build infrastructure for a new category of software (Autonomous AI Agents). • High-autonomy environment with a focus on engineering excellence and technical ownership. • Competitive compensation package commensurate with senior-level experience. • Remote-first or flexible working arrangements (as specified by the client).