Set Up and Manage Infrastructure:

Design, build, and maintain a robust, cloud-based infrastructure on Azure.

Develop and maintain infrastructure as code (IaC) using tools like Terraform.

Have ownership of our system’s reliability and scalability, laying a strong foundation for our engineering environment.

Deploy and Orchestrate Containers:

Use k8s and Docker to manage containerised applications, ensuring high availability, scaling, and resource optimisation.

Set up and manage k8s clusters to support reliable and scalable infrastructure.

Develop CI/CD Pipelines:

Design and implement CI/CD pipelines to automate our build, test, and deployment processes.

Collaborate with development teams to streamline code integration and ensure high-quality releases across the board.

Implement Monitoring and Incident Management:

Set up proactive monitoring, logging, and alerting systems to detect and resolve issues before they impact users.

Develop and refine incident response protocols and conduct root cause analyses to continuously improve system reliability.

Foster Collaboration and Knowledge Sharing:

Work closely with cross-functional teams, especially software engineering, to instil and grow a DevOps culture.

Document processes, systems, and configurations to ensure scalability and facilitate knowledge sharing as the team grows.

You have the experience and technical skills to build a solid foundation:

4+ years in a DevOps, SRE, or related role with hands-on experience building and maintaining infrastructure.

Expertise with a major cloud provider (preferably Azure).

Proficiency with Infrastructure as Code (IaC) tools and Kubernetes ecosystem tools, such as Terraform, Kubernetes, and FluxCD.

Solid experience with Docker and Kubernetes for container management.

Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI, GitHub Actions) and experience setting up automated workflows.

Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or DataDog.

Strong scripting skills (Python, Bash, or similar) for automation and tooling.

Software Engineering Experience:

Minimum of 2 years of professional experience in software engineering, with a focus on Python as a primary programming language.

Proficiency in writing clean, scalable, and efficient Python code, adhering to best practices and design principles.

Python Development Expertise:

Strong understanding of Python libraries, frameworks, and modules relevant to SRE, such as Flask, Django, or FastAPI for building resilient services and applications.

Familiarity with Python’s async capabilities and experience working with asynchronous programming to optimise system performance.

You’re motivated by ownership and impact:

You’re ready to take ownership of critical systems and be the go-to person for system reliability.

You enjoy solving complex technical challenges and proactively seek solutions.

You have strong collaboration and communication skills:

You can work effectively with stakeholders, document processes clearly, and explain technical concepts to non-technical team members.