
Engineer, Application Support
- London
- Permanent
- Full-time
This role isn't just about fixing things; it's about being a sharp troubleshooter who can solve problems independently, especially within complex, distributed systems. You'll also need a solid grasp of modern containerized environments and how to effectively use observability tools to keep things running smoothly.You'll have the chance to work both independently and collaboratively with a global team, always striving to ensure our applications are stable, performant, and continuously improving. Responsibilities:
- Troubleshoot and resolve complex application issues across various layers,from web and application servers, to databases and containerized environments like Docker and Kubernetes.
- Investigate logs and system behavior, pulling data from pods and containers using tools like kubectl, event viewer, and central logging platforms
- Monitor application health, performance, and availability levaraging observability platforms like Grafana and Kibana.
- Test and interact with API endpoints, documenting and validating their functionality using tools like Swagger/OpenAPI and Postman.
- Respond to support tickets promptly within defined SLAs, providing clear, timely updates and effective solutions to keep our users happy.
- Collaborate closely with cross‑functional teams, including Data Operations, Project Management, DBA, Infrastructure, to triage issues and drive systemic improvements.
- including Data Operations, Project Management, DBA, and Infrastructure—to triage issues and drive systemic improvements.
- Automate routine tasks and build helpful support utilities using scripting and query language skills (PowerShell, Bash, T‑SQL, Python).
- Create and maintain clear, concise documentation for troubleshooting steps, configurations, and best practices.
- Participate in after-hours testing and support rotations as part of our 24/7 global support model.
- SQL Server: Proficient with basic to intermediate T‑SQL query writing and performance tuning.
- Containerization: Hands‑on experience with Docker and Kubernetes, including pod management and log retrieval.
- APIs: Skilled in interacting with and testing RESTful APIs using Swagger/OpenAPI and Postman.
- Elastic Stack: Familiarity with Elasticsearch for log aggregation, indexing, and querying.
- Observability: Good understanding of monitoring and visualization concepts; experience with Grafana
- Scripting & Automation: Automation-first mindset, can streamline tasks. Powershell experience is a plus.
- Diagnostics: Skilled with Event Viewer, IIS Manager, SQL Server Management Studio, Linux command‑line tooling, and container‑CLI utilities (kubectl, docker).
- Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
- 4+ years in technical support or application engineering roles.