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3 Days ago

Cloud Engineer

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Gurugram, Haryana, India
Space Exploration & Research, Information Technology
Full-Time
Ford Motor Company

Overview

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.


  • Proven work experience in designing, deploying and operating mid to large scale public cloud environments.
  • Proven work experience in provisioning Infrastructure as Code (IaC) using Terraform Enterprise or community edition.
  • Proven work experience in writing custom terraform providers/plug-ins with Sentinel Policy as Code
  • Proven work experience in containerisation via Docker
  • Good to have strong working experience in Virtualisation via Kubernetes (image building, k8s schedule)
  • Experience in package, config and deployment management via Helm, Kustomize, ArgoCD.
  • Strong knowledge in Github, DevOps (Tekton / GCP Cloud Build is an advantage)
  • Should be proficient in scripting and coding, that include traditional languages like Java, Python, GoLang, JS and Node.js.
  • Proven working experience in Messaging Middleware - Apache Kafka, RabbitMQ, Apache ActiveMQ
  • Proven working experience in API gateway, Apigee is an advantage.
  • Proven working experience in API development, REST.
  • Proven working experience in Sec and IAM, SSL/TLS, OAuth and JWT.
  • Extensive knowledge and hands-on experience in Grafana and Prometheus micro libraries.
  • Experience in self hosted private / public cloud setup.
  • 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
  • Professional Certification is an advantage
  • Public Cloud >> GCP is a good to have.

Preferred Qualifications

  • Previous success in Cloud Engineering, DevSecOps.
  • Must have 5+ experience DevSecOPs
  • Must have minimum 3+ experience in cloud Engineering

  • Design, automate and manage a highly available and scalable cloud deployment that allows development teams to deploy and run their services.
  • Collaborating with engineering and Architects teams to evaluate and identify optimal cloud solutions, also leveraging scalability, high-performance and security.
  • Modernise existing on-prem solution and improving existing systems.
  • Extensively automated deployments and managed applications in GCP.
  • Developing and maintaining cloud solutions in accordance with best practices.
  • Ensuring 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, help develop self-healing capabilities
  • Designing and architecting middleware solutions that align with the overall system architecture and meet business requirements. This involves selecting the appropriate middleware technologies and patterns for seamless integration.
  • Writing code and configuring middleware components to enable communication and data flow between various systems. This includes developing APIs, message queues, and other middleware services.
  • Integrating different applications and services using middleware technologies, ensuring they can communicate effectively and exchange data in a standardized manner.
  • Identifying and resolving issues related to middleware, such as communication failures, performance bottlenecks, or data inconsistencies.
  • Experience in developing a strong observability capabilities
  • Identifying, analysing, and resolving infrastructure vulnerabilities and application deployment issues.
  • Regularly reviewing existing systems and making recommendations for improvements.
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