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DevOps Engineer M/F

Tecnologia
Sysmatch
Há 2 semanasAté 15/12/2026
Tempo inteiroHíbrido

Descrição da vaga

Who we are

With over 25 years of experience, Sysmatch is a well-established name in IT Consultancy and Outsourcing, involved in both national and international projects that promote excellence in technology and services. Our secret? A team that blends talent, creativity, and experience to deliver robust, scalable, and tailored solutions.

We’re not just tech experts — we’re partners who support our clients’ transformation, anticipate trends, and drive their evolution. Flexibility, innovation, and a forward-thinking mindset are part of our DNA.

We’re hiring:

DevOps Engineer – Remote (1x/month at the office)

Responsibilities and Duties

  • Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services, with Azure as the primary platform and AWS used where required by existing data or integration landscapes;
  • Create reusable infrastructure, deployment, observability, and environment patterns that help AI teams move from prototype to production faster;
  • Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads;
  • Support cloud architecture decisions for agentic workflows, model integrations, event-driven services, data platforms, and external APIs;
  • Work with security and data protection teams to ensure cloud environments follow group standards for identity, access, encryption, logging, isolation, and operational resilience;
  • Collaborate with country IT and local teams to onboard environments, connect systems, troubleshoot deployments, and scale successful AI use cases;
  • Continuously improving platform reliability, developer experience, cloud cost transparency, and operational maturity.

We’re looking for

  • Experience with cloud-native development and deployment, ideally with strong Azure experience;
  • Strong hands-on experience with infrastructure automation (IaC), CI/CD, containerized workloads, monitoring, logging, and operational support;
  • Solid engineering skills in Python, SQL, and optionally TypeScript, with the ability to support APIs, data workflows, and platform integrations;
  • Experience working in cross-functional, international teams and with local IT organizations; Understanding of enterprise data engineering concepts such as ETL, data pipelines, data storage, and integration patterns – ideally with hands-on experience;
  • Comfortable using GenAI software engineering tools such as GitHub Copilot, Cursor, or OpenCode to accelerate delivery;
  • Pragmatic, outcome-driven, and comfortable operating in an evolving AI environment;
  • Fluent English.

Nice to have

  • Experience with Snowflake, Azure AI Foundry, Microsoft Agent Framework, LangChain, MCP, or comparable AI platform tooling;
  • Exposure to frontend development, developer portals, workflow builders, or internal platform user interfaces;
  • Experience in heterogenous multi-country enterprise environments;
  • Cloud certifications or hands-on experience with DevSecOps, platform engineering, or site reliability engineering practices.
What we offer
  • A personalized onboarding experience that welcomes and supports you throughout your journey.
  • Regular and constructive feedback to boost your growth and development.
  • A dynamic project with a prestigious international client.
  • A competitive salary package, aligned with your experience and skills.
  • Career development opportunities through ambitious and innovative tech projects.
  • A collaborative culture that values creativity and individual progress.
  • Access to exclusive discounts in a wide network of partners, including health, wellness, travel, culture, gastronomy, leisure and much more.
  • Team-building events and initiatives that create memorable shared experiences.
Keywords
AzureAWSInfrastructure as CodeCI/CDContainerizationMonitoringLoggingPythonSQLTypeScriptCloud-Native DevelopmentData PipelinesETLDevSecOpsPlatform EngineeringSite Reliability EngineeringCloud-Native InfrastructureArtificial IntelligenceAPIsContainerized Workloads

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