DevOps Engineer M/F

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. 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. 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; 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.