Find Rackspace Senior Software Engineer software engineering jobs

A managed cloud computing company providing AWS infrastructure support and solutions.

Rackspace is seeking an experienced AWS Engineer IV for their Cloud Infrastructure Services team. This is a remote position based in Gurgaon, India, working permanent night shift. As an L4 AWS Support Engineer, you'll be at the forefront of providing expert-level technical support for complex AWS-based solutions.

The role combines strategic planning, architectural leadership, and hands-on technical expertise. You'll be responsible for developing cloud adoption strategies, designing enterprise-level architectures, and managing EKS clusters. The position requires deep knowledge of AWS services, infrastructure as code, and automation tools like Terraform and CloudFormation.

Key aspects of the role include leading critical incident response, implementing governance policies, and ensuring compliance with industry standards like PCI and HIPAA. You'll also serve as a technical mentor, leading training programs and representing the Managed Services team in client discussions.

The ideal candidate will possess advanced AWS certifications, strong leadership abilities, and extensive experience with cloud infrastructure. You'll work with cutting-edge technologies, including containerization, microservices, and emerging AWS services in AI/ML and serverless architectures.

This role offers the opportunity to work with a leading managed cloud services provider, shape technical direction, and drive innovation in cloud solutions. The remote work arrangement and focus on strategic initiatives make this an excellent opportunity for experienced AWS professionals looking to take their career to the next level.

Senior AWS Engineer position at Rackspace, focusing on cloud infrastructure, EKS management, and strategic planning for AWS solutions.

AWS Engineer IV-IN (Infra Support)

Rackspace is a leading technology services company specializing in cloud computing solutions and managed services.

Rackspace is seeking a Senior MLOps Engineer to join their Cloud Data Services team in Bangalore. This role combines DevOps principles with Machine Learning expertise, requiring candidates with 5+ years of experience in MLOps. The position involves building and maintaining AI/ML pipelines, working with cloud services (particularly GCP), and implementing best practices in ML model deployment and monitoring. The ideal candidate will have strong programming skills in Python, Java, and SQL, along with extensive experience in cloud platforms, containerization, and ML frameworks. This is a hybrid role requiring 3 days of office presence per week, offering an opportunity to work with cutting-edge ML technologies and contribute to large-scale ML systems. The role demands both technical expertise and strong communication skills, as you'll be working closely with data science teams and customers to deliver scalable ML solutions.

Senior MLOps Engineer position at Rackspace, focusing on building and maintaining ML infrastructure and pipelines using cloud services and DevOps practices.

MLOps Engineer (AWS / Azure / GCP)

Rackspace is a company specializing in public cloud services and cloud data solutions.

Rackspace is seeking a GCP Cloud ML/Ops Engineer to join their team in Bangalore, India. This role requires expertise in public cloud services, particularly GCP, and experience with MLOps tools like VertexAI and Kubeflow Pipelines. The ideal candidate will have strong skills in machine learning frameworks, LLMOps concepts, and DevOps principles. Key responsibilities include building end-to-end data pipelines, deploying ML models in GCP, and working with SQL, Java, and Python for data analysis. The role demands a technical degree in Computer Science or related field, with 4+ years of experience in ML Ops. This position offers a hybrid work environment, requiring 3 days a week in the office. Join Rackspace to contribute to cutting-edge cloud and AI technologies, working with a team that values innovation and adaptability in the rapidly evolving AIOps landscape.

GCP Cloud ML/Ops Engineer position at Rackspace, focusing on MLOps, cloud services, and AI technologies.

GCP Cloud ML/Ops Engineer

Rackspace is a cloud computing company that offers a range of services including managed public and private cloud solutions.

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in Oozie, the Apache Hadoop ecosystem, Airflow, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.

Key responsibilities include:
- Developing scalable and robust code for batch processing systems using technologies like Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, and Hbase.
- Developing, managing, and optimizing data workflows using Oozie and Airflow within the Apache Hadoop ecosystem.
- Leveraging GCP for scalable big data processing and storage solutions.
- Implementing automation/DevOps best practices for CI/CD and Infrastructure as Code.

Requirements:
- Experience with GCP managed services and understanding of cloud-based batch processing systems.
- Proficiency in Oozie, Airflow, Map Reduce, and Java.
- Strong programming skills with Java (specifically Spark), Python, Pig, and SQL.
- Expertise in public cloud services, particularly in GCP.
- Proficiency in the Apache Hadoop ecosystem with Oozie, Pig, Hive, and Map Reduce.
- Familiarity with BigTable and Redis.
- Experience in Infrastructure and Applied DevOps principles, including CI/CD and IaC tools like Terraform.
- Ability to tackle complex challenges and devise effective solutions.
- Proven experience in working effectively in a remote setting with strong communication skills.
- Hands-on experience in engineering batch processing systems at scale.

This role offers an exciting opportunity to work with cutting-edge big data technologies in a cloud environment, contributing to scalable and efficient data processing solutions.

Senior Big Data Engineer role at Rackspace, focusing on GCP, Airflow, and Oozie for scalable batch processing systems.

Sr Big Data Engineer (GCP)- Airflow and Oozie

Rackspace Technology is a multicloud solutions expert, combining expertise with world's leading technologies across applications, data, and security to deliver end-to-end solutions.

Rackspace Technology is seeking a highly skilled Senior Big Data Hadoop ML Engineer (GCP) for a remote position in Canada. The ideal candidate will have extensive experience in the Apache Hadoop ecosystem and developing batch processing systems. 

Key responsibilities include:
- Developing scalable code for large-scale batch processing using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, and HBase
- Managing and maintaining batch pipelines supporting Machine Learning workloads
- Leveraging GCP for big data processing and storage solutions
- Implementing DevOps best practices for CI/CD and Infrastructure as Code

Requirements:
- Proficiency in Hadoop ecosystem (Map Reduce, Oozie, Hive, Pig, HBase, Storm)
- Strong programming skills in Java, Python, and Spark
- Experience with GCP and other cloud services
- 10+ years of experience in customer-facing software/technology or consulting
- 5+ years of experience with "on-premises to cloud" migrations
- Technical degree in Computer Science, Software Engineering, or related field

This role offers the opportunity to work on cutting-edge big data and machine learning projects while collaborating with a dynamic team in a remote setting. Join Rackspace Technology, consistently recognized as a best place to work, and be part of a mission to embrace technology, empower customers, and deliver the future.

Senior Big Data Hadoop ML Engineer (GCP) position at Rackspace, working remotely in Canada on large-scale batch processing and ML pipelines using GCP.

Senior Big Data Hadoop ML Engineer (GCP) - Canada

Azure Sr. Data Engineer

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team at Rackspace Technology. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in the Apache Hadoop ecosystem (Map Reduce, Oozie, Hive, Pig, HBase, Storm). This role involves working in Java and on Machine Learning pipelines for data collection or batch inference.

As a Senior Big Data Hadoop ML Engineer (GCP), you will:
- Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, and HBase
- Develop, manage, and maintain batch pipelines supporting Machine Learning workloads
- Leverage GCP for scalable big data processing and storage solutions
- Implement automation/DevOps best practices for CI/CD, IaC, etc.

Key requirements include:
- Proficiency in the Hadoop ecosystem with Map Reduce, Oozie, Hive, Pig, HBase, Storm
- Strong programming skills with Java, Python, and Spark
- Knowledge of public cloud services, particularly in GCP
- Experience in Infrastructure and Applied DevOps principles
- Ability to tackle complex challenges and devise effective solutions
- Strong written and verbal communication skills for effective remote collaboration
- 10+ years of experience in customer-facing software/technology or consulting
- 5+ years of experience with "on-premises to cloud" migrations or IT transformations
- Technical degree in Computer Science, Software Engineering, or related field

This is a remote position, offering the flexibility to work from anywhere in the United States. Rackspace Technology is known for being a great place to work, consistently recognized by Fortune, Forbes, and Glassdoor. They offer a collaborative environment where you can bring your whole self to work and be part of a winning team on an inspiring mission.

Join Rackspace Technology to embrace technology, empower customers, and deliver the future of cloud solutions!

Senior Big Data Hadoop ML Engineer (GCP) at Rackspace Technology - Remote opportunity to develop scalable batch processing systems and ML pipelines using Hadoop ecosystem and GCP.

Rackspace Senior Software Engineer Software Engineering Jobs

Find Rackspace Senior Software Engineer software engineering jobs