Rackspace

👥 1001-5000💰 $ Private on 2017-09-11🫂 on 2023-03-27IaaS Big Data Cloud Computing Cloud Infrastructure

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Rackspace is a global leader in providing hybrid cloud-based services for businesses, offering expertise in public and private cloud solutions through their Fanatical Support service. They serve over 300,000 customers worldwide, including top FORTUNE 100 companies.

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🔥 Senior DataDog Developer

Posted 2024-10-10

🧭 Full-Time

🔍 Multi-cloud solutions

In-depth knowledge of Datadog features including dashboards, monitors, log management, and alerting.
Expertise in configuring Datadog agents across various environments like AWS, Azure, GCP, or on-premise.
Experience with creating and managing custom metrics, traces, and logs.
Ability to integrate Datadog with various services.
Experience in automating monitoring setups using IaC tools like Terraform or CloudFormation.
Proficiency in scripting languages such as Python, Bash, or PowerShell.
Experience in developing Datadog integrations and plugins.
Strong understanding of observability principles including metrics and logging.
Skills in identifying performance bottlenecks and optimizing system performance.
Experience in setting up alerts and incident response workflows in Datadog.

Be a key member of the Managed Public Cloud software development team, collaborating globally.
Work on a variety of projects including cloud integrated services, customer interaction platforms, and backend business systems.
Collaborate with Product teams to assess functional requirements for new offerings, analyze technical feasibility, and coordinate tasks.
Architect production-ready software prioritizing system observability.
Establish and adhere to coding and process best practices, including conducting code reviews.
Contribute to engineering standards and best practices.
Lead research and prototype efforts, and negotiate architectural trade-offs.
Write and review design documents and participate in project discussions.
Work within a DevOps culture including on-call rotations and maintenance schedules.

Posted 2024-10-10

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🔥 Senior Python Developer

Posted 2024-09-10

📍 Poland, Egypt

🔍 Cloud computing

Proven experience (8+ years) in Software Development and System Administration.
Proven experience in DevOps and container orchestration technology; Docker, Kubernetes, etc.
Experience with defining, creating, implementing, and improving cloud solutions.
Experience with Apache Airflow is a plus.
Excellent working experience of CI/CD pipelines.
In depth experience with automation/configuration using Ansible, Terraform.
Good knowledge in Linux/Windows system administration.
Experience with Private Cloud virtualization technologies.
Experience in one of VMware and OpenStack is mandatory.
Experience of ServiceNow Cloud Management Platform (CMP) is highly desired.
Knowledge of common network and security practices.
Experience with monitoring and logging tools.
Excellent interpersonal and verbal communication skills.
Ability to learn anything fast.

Design, develop, and maintain scalable and reliable Python applications to meet project requirements.
Design and develop software for large-scale enterprise services.
Collaborate with cross-functional teams, including product management and DevOps, to define project specifications and deliverables.
Conduct code reviews and provide mentorship to junior developers, ensuring adherence to best practices and coding standards.
Troubleshoot and debug applications to optimize performance and resolve issues.
Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
Stay updated with emerging technologies and industry trends to continuously improve development processes.
Translate functional requirements into conceptual and detailed designs; provide estimates for development effort.
Create unit and acceptance tests; perform QA/Test; automate deployment; and assist Operations and Support staff in troubleshooting software issues, as well as implementing bug fixes.
Adhere to coding and process best practices.

DockerPythonSoftware DevelopmentApache AirflowKubernetesQAAirflowCommunication SkillsCollaborationCI/CDLinuxDevOpsTerraform

Posted 2024-09-10

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🔥 Principal MLOPs Engineer (Canada)

Posted 2024-08-14

📍 Canada

🔍 Multicloud solutions and technology services

Proven track record in designing and implementing scalable ML inference systems.
Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
Strong understanding of computer science concepts including algorithms and distributed systems.
Proficiency and recent experience in Java is required.
Experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
Expertise in public cloud services, particularly GCP and Vertex AI.
Understanding of LLM architectures and model optimization techniques.

Architect and optimize existing data infrastructure for machine learning and deep learning models.
Collaborate with cross-functional teams to translate business objectives into engineering solutions.
Own development and operation of high-performance inference systems for various models.
Provide technical leadership and mentorship to the engineering team.

LeadershipPythonApache HadoopGCPHadoopJavaKerasMachine LearningC++C (Programming language)AlgorithmsData StructuresSparkTensorflow

Posted 2024-08-14

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🔥 Security Risk and Compliance Management Specialist IV

Posted 2024-08-13

📍 Mexico

🧭 Full-Time

🔍 Multicloud solutions

5+ years of experience in information security policy, standards, compliance, and related programs.
Must possess at least one of the following active certifications: CISA, CISM, CISSP, or CFE.
Other certifications such as ITIL, PMP, SANS/GSEC, CIPP, CRISC, CGEIT, CPA/CA are preferred.
Leadership experience in information security is considered a plus.

Acts as an advocate in the development of overall information security program globally.
Creates and performs global IT Risk and Compliance assessments.
Performs gap assessments and coordinates remediation planning/execution for compliance frameworks.
Leads cross-functional teams in strategy development and implementation of risk framework and compliance solutions.
Conducts risk assessments and documents findings.
Develops training and communication for Information Security, IT Risk, and compliance.
Coordinates and responds to regulatory requirements and vendor due diligence activities.
Provides subject matter expertise to various business units.
Directs analysis and root cause identification.
Executes internal customer audits and manages compliance portfolio presentations.

LeadershipProject ManagementBusiness DevelopmentProduct ManagementC (Programming language)Project CoordinationProduct DevelopmentBusiness development

Posted 2024-08-13

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🔥 Senior MLOPs Engineer

Posted 2024-08-09

🧭 Full-Time

🔍 Technology Solutions

Proven track record in designing and implementing cost-effective and scalable ML inference systems.
Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.
Expertise in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
Proficiency in public cloud services, particularly GCP and Vertex AI.
Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.
Proficiency and recent experience in Java.
In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.

Architect and optimize the existing data infrastructure to support machine learning and deep learning models.
Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
Own the end-to-end development and operation of high-performance, cost-effective inference systems for various models, including LLMs.
Provide technical leadership and mentorship to foster a high-performing engineering team.

LeadershipPythonApache HadoopGCPHadoopJavaKerasMachine LearningC++C (Programming language)AlgorithmsData StructuresSparkTensorflowCommunication Skills

Posted 2024-08-09

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🔥 Senior Big Data Hadoop ML Engineer (GCP)

Posted 2024-08-09

📍 US

💸 116100 - 198440 USD per year

🔍 Cloud Solutions

Proficiency in the Hadoop ecosystem including Map Reduce, Oozie, Hive, Pig, HBase, and Storm.
Strong programming skills with Java, Python, and Spark.
Knowledge in public cloud services, particularly in GCP.
Experience in Infrastructure and Applied DevOps principles, including CI/CD and IaC like Terraform.
Ability to tackle complex challenges with innovative solutions.
Effective communication skills in a remote work setting.

Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, 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 and IaC.

PythonApache HadoopGCPHadoopJavaMachine LearningSparkTerraform

Posted 2024-08-09

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🔥 Principal MLOPs Engineer

Posted 2024-08-09

🧭 Full-Time

🔍 Technology / Multicloud solutions

Proven track record in designing and implementing cost-effective and scalable ML inference systems.
Hands-on experience with deep learning frameworks like TensorFlow, Keras, or Spark MLlib.
Strong foundation in machine learning algorithms, natural language processing, and statistical modeling.
Fundamental computer science concepts knowledge, including algorithms, distributed systems, and database management.
Experience in the Apache Hadoop ecosystem and public cloud services, specifically GCP and Vertex AI.
Demonstrated ability to tackle complex challenges and develop innovative solutions.
Proficiency in Java and understanding of model optimization techniques.
Technical degree: Bachelor's in Computer Science with minimum 10 years of experience or a Master's with 8 years, preferably with a specialization in Machine Learning.

Architect and optimize existing data infrastructure for machine learning and deep learning models.
Collaborate with cross-functional teams to convert business objectives into engineering solutions.
Manage the development and operation of high-performance inference systems for various models, including large language models.
Provide technical leadership and mentorship to the engineering team.

LeadershipPythonApache HadoopGCPHadoopJavaKerasMachine LearningC++C (Programming language)AlgorithmsData StructuresSparkTensorflowCommunication Skills

Posted 2024-08-09

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Rackspace

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