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Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or Java. As an SDS machine learning engineer, you will work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
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Experience with containerization technologies and orchestration tools (Docker, Kubernetes). Experience dealing with business intelligence systems or machine learning systems or Big DataProven experience as Systems Architect or in a similar role, with a track record of successfully delivering complex software systems.
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Strong Software Engineering experience (Application Development) using Apache Spark, Scala and messaging systems as Kafka for handling/processing large datasets. with a primary focus on Scala and Apache Spark / good understanding and usage of REST API's.
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Experience or familarity with the following systems, languages, or frameworks: Django, Docker, Kubernetes, AWS, Javascript, HTML, Stonebranch, AWS. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply.
$96,000Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with scale testing, disaster recovery, and capacity planning Familiarity with microservices architecture and container orchestration with Kubernetes and docker. Experience with Kubernetes, Docker, and containerization In depth knowledge of Linux and Unix.
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Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) Experience with modern frontend frameworks/libraries such as React, Angular, or Vue.js.
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Familiarity with containerization and deployment tools (e.g., Docker, Kubernetes). Join our dynamic team to shape the Popcorn Protocol and make a significant impact in the blockchain space. Backend & Frontend Integration: Familiarity with backend development technologies (e.g., Node.js, Python, Go), frontend development technologies (e.g., React, Vue, Next.js), Web3 integration libraries (e.g., Web3.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience working with Docker, Kubernetes, and cloud containerization solutions, such as Elastic Cloud on Kubernetes (ECK) Experience with McAfee and Tenable. Knowledge of cryptography protocols and standards, including TLS, mTLS, hashing algorithms, and Public Key Infrastructure (PKI.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Containers and related technologies (Docker, Kubernetes, AWS ECS, etc.) design pattern, devops, java, maven, perl, senior software developer. Containers and related technologies (Docker, Kubernetes, AWS ECS, etc.
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Deploy and manage microservices using Kubernetes and Docker. Kubernetes and Docker Container experience. My client are an exciting start-up in the renewable energy sector, specializing in energy and battery storage.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with Kubernetes, Docker, Functions, elastic compute, enterprise-scale platforms, parallelized workloads, real-time data streams, open-source frameworks. Advantage Technical is seeking a Senior Principal Software Engineer for our client that is a fully remote position through October 2025 and great money in your pocket.
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Preferred experience with Docker, configuration management systems such as Ansible, Kubernetes, or similar grid computing technologies. Experience supporting Node.js/JavaScript/Java/Scala development.
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Virtualization and container technologies (Docker, Kubernetes, etc.) Whether you're working from home or one of our Centers of Energy, US benefits for LMers include but are not limited to: unlimited vacation, health, vision, and dental insurance, robust parental leave, a 401K with company matching, a monthly Work Well reimbursement, Employee Equity Program, Professional Development funds, unlimited opportunities for growth, and more.
$136,500 - $189,420 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with containerization technologies such as Docker and Kubernetes. Implement infrastructure as code using Terraform for efficient cloud resource provisioning. Utilize Struts, JSP, and MVC frameworks for creating modular and maintainable code.
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