We're passionate about building software that solves problems. We count on our Site Reliability Engineers (SREs) to empower our users with a rich feature set, high availability, and stellar performance level to pursue their missions. We are currently seeking a public cloud experienced engineer for planning, designing and implementing next generation cloud infrastructure solutions. The Cloud Engineer will be a part of the Engineering team and will require a strong knowledge of application monitoring, infrastructure monitoring, automation, maintenance, and Service Reliability Improvements.
Specifically, we are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a cross-functional team to develop real-world solutions and positive user experiences at every interaction.
Reasons why you would love joining Ford:Belong to a leading company in the Automotive industry globally with more than 120 years in the market.Full-time fixed contract, with a competitive starting compensation and a benefits package (restaurant card, discounts, etc.).Work-life balance: 33 vacation days and work under a hybrid model (2/3 days a week).Career Development path - being part of high-impact projects which would allow you to improve your technical skills and develop.The people of Ford Motor Credit Company have a 60-year commitment to helping put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to five thousand dealers and more than four million customers in over 100 countries around the world. If you're customer-focused, driven and seeking the opportunity to experience exciting challenges and growth, look no further.
Responsibilities:Design, automate and manage a highly available and scalable cloud deployment that allows development teams to deploy and run their services.Collaborate with engineering and Architects teams to evaluate and identify optimal cloud solutions, leveraging scalability, high-performance and security.Modernize existing on-prem solutions and improve existing systems.Extensively automate deployments and manage applications in GCP.Develop and maintain cloud solutions in accordance with best practices.Ensure efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.Collaborate with Engineering teams to identify optimization strategies and help develop self-healing capabilities.Develop strong observability capabilities.Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues.Regularly review existing systems and make recommendations for improvements.Possess a strong understanding of effective data visualization techniques, choosing the right chart types for different data, and creating clear and informative dashboards.Familiarity with the DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, Time to Restore Service) and their importance in assessing DevOps performance is essential.Understand how CI/CD events integrate with observability and know how to correlate events from CI/CD pipelines with performance and error data.Experience working with RESTful APIs, both consuming and potentially building them.Understand API specifications (Swagger/OpenAPI) for interacting with various services.Build and maintain dashboards in Grafana, connecting to various data sources (including GCP services).Implement and manage SLOs using Nobl9.Optimize BigQuery queries for performance.Automate data collection and processing using Cloud Scheduler and other GCP services.Proficiency in using Dynatrace for application performance monitoring (APM) is critical.Experience with Nobl9 for reliability management is a valuable asset.Strong Grafana skills for dashboard creation and visualization.Understand Prometheus's role in metrics collection and its architecture.Deep understanding of the OpenTelemetry Collector's configuration, pipelines, and processing capabilities.Proven work experience in Docker.Proven working experience in API gateway, Apigee is an advantage.Experience in package, config and deployment management via Helm, Kustomize, ArgoCD.Strong knowledge in Github, DevOps (Cloud Build and Deploy is an advantage).Proficient in scripting and coding in languages like Python, GoLang, Java, JS and Node.js.Exposure to Cloud Monitoring and logging.Experience with distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (Mesos, Kubernetes, Yarn).Experience with automation tools should be a priority.Languages: English advanced/high level needed.Additional Information:Ford is committed to diversity and equality of opportunity for all and is opposed to any form of less favourable treatment or harassment on the grounds of gender, marital status, civil partnership status, parental status, race, ethnic origin, colour, nationality, national origin, disability, sexual orientation, religion/belief, gender reassignment and gender identity, age and those with caring responsibilities.
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Requisition ID: 38951
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