Senior Big Data Infra Engineer

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October 28

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Rackspace Technology

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SaaS • Cloud

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• 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. • Create automation, whether that is building DevOps pipelines, scripting or creating Infrastructure as Code in Terraform • Participating in work sessions with clients • Completing technical documentation

🎯 Requirements

• 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. • Expertise in public cloud services, Azure/AWS or GCP. • Experience with Cloud managed services and understanding of cloud-based messaging/stream processing systems are critical. • 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. • Has knowledge in containerization technologies such as Docker and Kubernetes to enhance the scalability and efficiency of applications. • 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. • Proven experience in engineering stream/batch processing systems at scale. • Strong programming abilities in Java and Python. • Hands-on experience in public cloud platforms. Additional experience with other cloud technologies is advantageous. • Must Have: • Cloud Engineer Certification or other Cloud Professional level certification • 4+ years of experience in customer-facing software/technology or consulting • 4+ years of experience with “on-premises to cloud” migrations or IT transformations • 4+ years of experience building, and operating solutions built on GCP or AWS/Azure • Technical degree: Computer Science, software engineering or related