SysOps / DevOps Engineer

The Role

A growing technology business is looking for a skilled SysOps / DevOps Engineer to help build, scale, and maintain the infrastructure underpinning its platforms. This role sits at the intersection of software engineering and infrastructure, with a focus on reliability, automation, and performance. You will play a key role in ensuring systems are secure, scalable, and highly available in a fast‑paced, real‑time environment. Working closely with engineering, product, and external partners, you will support robust infrastructure and smooth deployment processes.

Key Responsibilities

• Maintain and scale both cloud infrastructure and on‑premise environments
• Implement and enhance CI/CD pipelines using Azure DevOps
• Maintain secure and resilient network infrastructure, including connectivity with third‑party providers
• Ensure platform reliability through effective alerting and incident response
• Monitor system performance and collaborate with QA and technical teams to drive continuous improvement
• Support efficient development and release practices alongside engineering and product teams
• Troubleshoot production issues in a time‑sensitive environment
• Implement automation to reduce manual effort and improve operational efficiency
• Contribute to the continuous improvement of DevOps practices, tooling, and standards
• Explore and leverage AI tools to enhance productivity and monitoring capabilities
• Provide support for global users across multiple time zones

Required Skill Set

• Solid understanding of infrastructure, system administration, and deployment workflows
• Experience with Azure DevOps and CI/CD pipeline automation
• Experience managing cloud infrastructure, networking, and private network connectivity
• Strong understanding of networking concepts, including security principles
• Experience with containerisation technologies (e.g. Docker, Kubernetes)
• Familiarity with monitoring, logging, and alerting tools
• Understanding of web hosting platforms (e.g. IIS, Nginx)
• Familiarity with high‑availability or real‑time systems (experience in financial services environments advantageous)
• Exposure to or interest in AI‑assisted tooling for scripting, automation, or monitoring

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