What you’ll be doing
1. Implement practical engineering solutions, platform standards, and automation using architecture.
2. Translate architectural, security, and operational requirements into reusable engineering patterns.
3. Enable consistent ways of working across engineering, operations, and support teams.
4. Develop custom scripts, APIs, and integrations to extend platform capabilities.
5. Build & enable Dynatrace dashboards, metrics, and reporting to support engineering, operations and application support.
6. Support and enable testing strategies, frameworks, and automation across applications and platforms.
7. Implement tooling for functional, integration, performance, and resilience testing.
8. Use scripting and CI/CD integrations to improve test execution, reliability, and feedback loops.
9. Engineer and support AIOps capabilities using telemetry, logs, metrics, and events. Develop data pipelines and automation for anomaly detection, alert correlation, and predictive insights.
10. Provide engineering-led application support with a strong focus on automation and self-healing.
11. Design and improve resilience, failover, backup, and recovery capabilities.
12. Participate in incident response, problem management, and post-incident reviews, driving continuous improvement.
13. Develop and maintain integrations and automation for applications and security controls.
14. Embed secure-by-design principles into platforms, pipelines, and operational tooling.
Experience you'll have
15. Strong experience with automation and engineering languages, including: Python (automation, AIOps, data pipelines, ML workflows) JavaScript / TypeScript (platform integrations, REST APIs, tooling extensions) Bash / Shell scripting (operational automation, support tooling)
16. Familiarity with AI / ML ecosystems, such as: MLflow, Kubeflow, or similar MLOps platforms PyTorch, TensorFlow, scikit-learn (model integration and operationalisation)
17. Experience with REST APIs, JSON, YAML, and event-driven integrations.
18. Strong experience in engineering practices in Confluence.
19. Understanding of application lifecycle management, ITSM, and engineering delivery practices.
20. Experience integrating tools across development, operations, and security domains.
The skills you’ll need
Agile DevelopmentDatabase Design/DevelopmentDebuggingAPIs/Web Service IntegrationProgramming/ScriptingVersion ControlMicroservices/Service Oriented ArchitectureIT SecurityCloud ComputingSoftware TestingContinuous Integration/Continuous Deployment Automation & OrchestrationApplication DevelopmentAlgorithm DesignSoftware Development LifecycleDecision MakingGrowth MindsetInclusive Leadership
Our leadership standards
Looking in:
Leading inclusively and Safely
I inspire and build trust through self-awareness, honesty and integrity.
Owning outcomes
I take the right decisions that benefit the broader organisation.
Looking out:
Delivering for the customer
I execute brilliantly on clear priorities that add value to our customers and the wider business.
Commercially savvy
I demonstrate strong commercial focus, bringing an external perspective to decision-making.
Looking to the future:
Growth mindset
I experiment and identify opportunities for growth for both myself and the organisation.
Building for the future
I build diverse future-ready teams where all individuals can be at their best.