DevOps Engineer (Data Bricks)

DevOps Engineer (Data Bricks Application Cloud) Key Responsibilities Cloud Infrastructure & Architecture •Design, implement, and manage scalable cloud infrastructure solutions on majorcloud platforms (AWS) •Architect and provision Databricks workspaces for data engineering andanalytics workloads •Ensure cloud infrastructure follows best practices for security, performance,and cost optimisation •Provide technical leadership in cloud architecture decisions and infrastructuredesign CI/CDPipeline Development •Design and build robust Continuous Integration/Continuous Delivery (CI/CD)pipelines •Implement automated testing, deployment, and release management processes •Optimise build and deployment workflows for efficiency and reliability •Integrate security scanning and quality gates into CI/CD pipelines Infrastructureas Code (IaC) •Develop and deploy Infrastructure as Code using tools such as Terraform,CloudFormation, ARM Templates, or Pulumi •Maintain version-controlled infrastructure configurations •Implement automated infrastructure provisioning and configuration management •Ensure infrastructure consistency across development, staging, and productionenvironments DevOpsBest Practices •Champion DevOps culture and practices across development teams •Implement monitoring, logging, and alerting solutions •Drive automation initiatives to improve operational efficiency •Collaborate with application development teams to optimise deployment processes Required Qualifications Technical Skills • 7+ years of experience in DevOps, Cloud Engineering, or Cloud Architecture roles • Strong hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) • Proven experience provisioning and managing Databricks workspaces • Expert-level knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions, CircleCI) • Strong proficiency in Infrastructure as Code (Terraform, CloudFormation, ARM Templates, Ansible, or similar) • Experience with containerisation and orchestration (Docker, Kubernetes) • Proficiency in scripting languages (Python, Bash, PowerShell, or similar) • Understanding of networking, security, and compliance in cloud environments Professional Experience • Background in Cloud Engineering or Cloud Architecture • Experience working in Agile/Scrum environments • Track record of implementing DevOps practices in enterprise settings • Experience with database technologies and data platforms Preferred Qualifications - mandatory to have at least one certification • Cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or equivalent) • Databricks certifications • Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, Splunk, Datadog) • Knowledge of security best practices and DevSecOps • Experience with GitOps workflows • Familiarity with service mesh technologies (Istio, Linkerd) • Experience in regulated industries (Financial Services, Healthcare, Public Service)