Senior DevOps / SRE Engineer

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MLabs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🤖 Inteligência Artificial

💳 Fintech

Consulting • Artificial Intelligence • Fintech

A MLabs Consulting ajuda a configurar especificações de projetos, implementar, gerenciar e manter projetos técnicos para IA, Fintech, Tecnologia da Informação e mais. Somos especializados em programação funcional, compiladores, IA, DevOps e desenvolvimento full-stack.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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).