SC Cleared Azure DevOps Engineer

SR2
London, UK
11 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£96,200.0 - £97,500.0
Working hours
Regular working hours

Tech stack

Agile Methodology Microsoft Azure Unix Cloud Computing Continuous Integration Data as a Services Data Infrastructure Linux DevOps Monitoring of Systems Integrated Development Environments Prometheus
+9 more
Azure Data Lake Azure Data Factory Grafana Gitlab Deployment Automation Apache Kafka Terraform Azure Synapse Analytics Databricks

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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