Cloud Engineer with Expertise in Data Management
2 weeks ago
We are seeking a highly skilled Cloud Engineer to join our team at State Street. This individual will play a crucial role in designing, implementing, and maintaining secure and scalable infrastructure platforms spanning across AWS/Azure and our Data Center.
The ideal candidate will have a deep understanding of CI/CD tools, experience with globally distributed log & event processing systems, and expertise in DevOps, DevSecOps, and Data Governance practices.
Key Responsibilities:- Collaborate across various teams to enable our Data Platform needs and design, implement, and maintain a secure and scalable infrastructure platform.
- Use Infrastructure as Code and containerization to create immutable reproducible deployments and establish best practices for IaC projects.
- Own and ensure that internal and external SLA's meet and exceed expectations, System centric KPIs are continuously monitored.
- Create tools for automating deployment, monitoring, alerting, and operations of the overall platform and establish best practices for CI/CD environments and methodologies such as GitOps.
- Analyze our AWS/Azure Resource usage to optimize for a balance of performance vs cost.
- Work on our data lake, data warehouse, and stream processing systems to create a unified query engine, multi-model databases, analytics extracts and reports, as well as dashboard and visualizations.
- Design and build systems for high availability, high throughput, data consistency, security, and end-user privacy, defining our next generation of data analytics tooling.
- Mentor other engineers and promote software engineering best practices across the organization, designing systems with monitoring, auditing, reliability, and security at their core.
- A deep understanding of CI/CD tools and a strong desire to help teams release frequently to production with a focus on creating reliable high-quality results.
- Experience with globally distributed log & event processing systems with data mesh and data federation as the architectural core is highly desirable.
- Expertise in DevOps, DevSecOps, and emergent experience with DataSecOps and Data Governance practices — deep experience with managing and scaling container-based infrastructure-as-code technologies from the CNCF and related orbits.
- Experience designing and building data warehouse, data lake or lake house using batch, streaming, lambda and data mesh solutions and with improving efficiency, scalability, and stability of system.
- Knowledge of Dbt, Airflow, Ansible, Argo, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
- Expertise with either AWS, GCP, Azure, and Services/Tooling such as Terraform, Packer, Docker, Kubernetes, Helm, Prometheus, Grafana, Fluent Bit, Istio (Service Mesh).
- Strong background integrating continuous delivery(CD) with Kubernetes using tools such as Argo, GitLab, Spinnaker and strong Git experience, development methodologies, trunk-based develop vs. git flow, etc
- Strong end-to-end ownership and a good sense of urgency to enable proper self-prioritization.
- Maintain live services by measuring and monitoring availability, latency, and overall system.
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