SC Cleared Azure DevOps Engineer
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Job description
We are looking for a Senior DevOps Engineer to support the continued development of a large-scale Azure data platform within a major public-sector programme. You will join a specialist cloud infrastructure team responsible for providing secure, scalable and resilient platforms that underpin critical digital services., You will develop and support Azure-based data services, create automated deployment pipelines and improve the tooling used by engineering teams. The role requires a hands-on engineer who can operate autonomously, take ownership of loosely defined technical challenges and turn them into reliable production solutions., * Develop and maintain CI/CD pipelines and Azure DevOps toolchains.
- Build and support solutions across Azure Data Factory, Synapse Analytics and Azure Data Lake.
- Provision and manage cloud infrastructure using Terraform and configuration-as-code practices.
- Work with product teams to understand requirements, assess tooling and implement platform improvements.
- Support live environments, troubleshoot operational issues and improve monitoring and resilience.
- Lead technical investigations, proofs of concept and test-and-learn initiatives.
- Guide other engineers and promote strong engineering ownership across delivery teams.
Requirements
- Strong applied experience across Azure Data Factory, Azure Synapse Analytics and Azure Data Lake.
- Proven experience developing and supporting Azure cloud applications or platforms.
- Hands-on experience writing and maintaining Terraform.
- Experience working with Linux, Unix or Windows environments, including Scripting and automation.
- Strong CI/CD pipeline experience, ideally using GitLab.
- Experience working within an Agile DevOps, platform engineering or software engineering environment.
- Ability to operate with autonomy and resolve complex technical issues.
- Previous experience supporting, mentoring or developing engineers.
Desirable
- Recent hands-on experience with Databricks.
- Experience with Kafka and Kafka Connect.
- Knowledge of monitoring and observability tooling such as Prometheus and Grafana.
- Previous experience delivering large-scale public-sector or highly regulated services.
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