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As a key member of our Data and BI team, you will be responsible for designing and building reliable systems that meet the needs of top firms across industries. With over 20 years of expertise, our global leader in Vertical AI SaaS solutions values accountability, collaboration, and growth in a truly diverse and inclusive culture. We provide a flexible, connected work environment that prioritises both work-life balance and career development, making it the perfect place to thrive professionally and personally.
Key Responsibilities:
- Collaborate on New Features: Work with the Development and Product teams to design and build new features that are fault-tolerant and scalable.
- Troubleshoot and Fix Issues: Investigate and solve reliability problems in systems; work with other software engineers across the organisation to produce and roll out fixes.
- Standardise Processes: Help create consistent practices across different teams and services, working with Site Reliability Engineers (SREs).
- Improve Automation: Find ways to automate tasks like deployment, service management, and monitoring of services, and create tools to make this happen.
- Define & Monitor Reliability Metrics: Establish and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to measure system performance and ensure reliability.
- Lead Post-Mortems & Incident Reviews: Conduct post-mortems to analyse outages and incidents, identify root causes, and drive improvements to prevent future failures.
- Agile Work Style: Balance planned project work (sprints) with daily operational tasks.
- On-Call Support: Be part of a 24/7 on-call rotation with 12-hour shifts.
What You Bring:
- Experience with Reliable Systems: You have worked on building systems that are fault-tolerant and scalable.
- Knowledge of Databases: You're familiar with databases like SQL Server, PostgreSQL, and NoSQL.
- Expertise in Tools: You're skilled in tools for managing configurations and deployments, such as Ansible, Jenkins, and Azure DevOps.
- Azure Experience: You have hands-on experience using Azure to run production workloads.
- Scripting Skills: You can write scripts in Python, Perl, Go, or similar programming languages.
- Understanding of CI/CD: You know how to set up and manage continuous integration and continuous deployment pipelines.
- Windows Infrastructure Experience: You have experience managing Windows Infrastructure that runs IIS (Internet Information Services).
- Problem Solver: You enjoy fixing reliability issues and creating long-term solutions.
- Automation Focus: You believe in automating tasks whenever possible.
- Fluent in English: You can speak and write English confidently and clearly.
