<div><b>About the Role:</b></div><div>We are seeking a highly skilled and experienced Senior Big Data Infra Engineer to join our dynamic team. The ideal candidate will have a strong background in developing and scaling both stream and batch processing systems, and a solid understanding of public cloud technologies. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.</div><div><b>What you will be doing:</b></div><div>Implementing        automation/DevOps best practices for CI/CD, IaC, Containerization, etc        to Build a reusable infra structure for stream and batch processing        systems at scale.</div><div>Create        automation, whether that is building DevOps pipelines, scripting or        creating Infrastructure as Code in Terraform</div><div>Participating        in work sessions with clients </div><div>Completing        technical documentation </div><div><b>Requirements:</b></div><div>Experience        in Developing and Scaling data Processing Systems This includes working        with technologies like Pub/Sub, Kafka, Kinesis, DataFlow, Flink, Hadoop,        Pig, Hive, and Spark.</div><div>Expertise        in public cloud services, Azure/AWS or GCP.</div><div>Experience        with Cloud managed services and understanding of cloud-based        messaging/stream processing systems are critical.</div><div>Experienced        in Infrastructure and Applied DevOps principles in daily work. Utilize        tools for continuous integration and continuous deployment (CI/CD), and        Infrastructure as Code (IaC) like Terraform to automate and improve        development and release processes.</div><div>Has        knowledge in containerization technologies such as Docker and Kubernetes        to enhance the scalability and efficiency of applications.</div><div>Worked        effectively in a remote setting, maintaining strong written and verbal        communication skills. Collaborate with team members and stakeholders,        ensuring clear understanding of technical requirements and project        goals.</div><div>Proven        experience in engineering stream/batch processing systems at scale.</div><div>Strong        programming abilities in Java and Python.</div><div>Hands-on        experience in public cloud platforms. Additional experience with other        cloud technologies is advantageous.</div><div><b>Must Have:</b></div><div>Cloud        Engineer Certification or other Cloud Professional level certification</div><div>4+        years of experience in customer-facing software/technology or consulting</div><div>4+        years of experience with “on-premises to cloud” migrations or IT        transformations</div><div>4+        years of experience building, and operating solutions built on GCP or        AWS/Azure</div><div>Technical        degree: Computer Science, software engineering or related</div><div> </div>

Rackspace

SENIOR BIG DATA INFRA ENGINEER

Rackspace