16 open jobs on The Stack list Cloud computing as a key skill. They come from 13 companies in 9 countries, and 16 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Cloud computing in its key skills. We do not guess skills from the job title.
What you'll do: The engineer will architect, build, and deploy a core service dedicated to security compliance automation from the ground up. They will also manage backend infrastructure, CI/CD pipelines, and collaborate with cross-functional teams to…
What they ask for: Candidates must have 8+ years of backend software development experience and expertise in containerization, orchestration, and cloud platforms. A bachelor's degree in a relevant field is required, along with knowledge of security…
What you'll do: You will design and develop techniques to compress Large Language Models using quantum-inspired technologies and build LLM-based applications like RAG and AI agents. Additionally, you will conduct performance evaluations, fine-tune models…
What they ask for: Candidates must hold a degree in a relevant field and possess at least 5 years of hands-on experience in training or fine-tuning deep learning models. Proficiency in Python, transformer libraries, and a strong understanding of GPU…
What you'll do: You will design and maintain backend services and APIs using Python, Node.js, and TypeScript while delivering end-to-end features including React-based user interfaces. Additionally, you will collaborate with cross-functional teams to…
What they ask for: The role requires over 5 years of professional software engineering experience with deep expertise in Python and backend development. Candidates must also have hands-on experience with Node.js, TypeScript, React, and cloud environment…
What you'll do: You will take full responsibility for the end-to-end lifecycle of data science services, from conceptualization to production. Additionally, you will work on projects such as pricing prediction and elasticity models while mentoring…
What they ask for: You possess a long track record of implementing large-scale ML services and have extensive knowledge of classic machine learning algorithms. You are also experienced with modern infrastructure tools like Kafka, Kubernetes, and GCP, and are…
What you'll do: You will manage the end-to-end lifecycle of data science services, from conceptualization to production, while ensuring high performance and reliability. You will also collaborate with cross-functional teams to develop innovative ML and…
What they ask for: You must have extensive experience with the data science toolbox, including Python, SQL, and cloud infrastructure like GCP, Kubernetes, and Kafka. Additionally, you should possess specific expertise in either ML classifiers, NLP, AdTech…
What you'll do: You will design, develop, and deploy enterprise-scale data platforms using the Microsoft Fabric ecosystem to support analytics and AI initiatives. This involves managing end-to-end data engineering workstreams, from ingestion and…
What they ask for: Candidates must have 6+ years of experience in data engineering with a strong focus on Azure and Microsoft Fabric implementations. Proficiency in SQL, Python, PySpark, and modern data architecture patterns like Medallion and Delta Lake is…
What you'll do: You will architect, operate, and optimize large-scale GPU clusters to support the training of foundation models for humanoid robots. Additionally, you will collaborate with AI engineers to maximize hardware utilization and improve training…
What they ask for: Candidates must have a degree in Computer Science, Electrical Engineering, or Software Engineering along with significant industry experience. Proficiency in Python, PyTorch, and distributed training concepts, as well as hands-on…
What you'll do: You will own platform features end-to-end within the Network Solutions domain, covering specification, implementation, testing, and production support. You are responsible for automating infrastructure configuration and maintaining…
What they ask for: The role requires 5+ years of experience in cloud infrastructure, Linux administration, and configuration management tools like Ansible or Puppet. Candidates must demonstrate strong production operations experience and the ability to work…
What you'll do: The Expert Data & AI Platform Engineer will design, build, and maintain scalable data and AI infrastructure to support the company's digital transformation. You will collaborate across departments to implement innovative solutions that…
What they ask for: The ideal candidate possesses extensive experience in data and AI platform engineering with a strong background in cloud technologies. You must be a proactive problem-solver capable of working in a diverse, inclusive team environment to…
What you'll do: You will own platform features end-to-end, from specification and implementation to deployment and production support. This includes maintaining cloud infrastructure, utilizing AI-assisted tools, and participating in on-call rotations to…
What they ask for: Candidates must have at least 5 years of experience in cloud infrastructure, Linux administration, and configuration management tools. Strong skills in production operations, testing, and clear written communication are essential for this…
What you'll do: Develop and deploy end-to-end machine learning solutions using NLP and text generation to optimize hotel content and user experience. Analyze user behavior and text performance data to derive actionable insights that inform business…
What they ask for: Requires an advanced degree (MSc or PhD) in a quantitative field and 3+ years of practical experience deploying ML algorithms in production. Candidates must possess deep expertise in Python, SQL, and NLP/LLM technologies.
What you'll do: Maintain and optimize the systems powering CI/CD, shape the continuous deployment strategy, and provide secure, compliant pipeline capabilities that help development teams deliver changes quickly. Standardize pipelines, mentor engineers…
What they ask for: Candidates need experience with a high-level programming language, Linux systems, cloud providers, and planning, building, and supporting scalable CI/CD pipelines. Helpful additional experience includes security- and compliance-focused…
What you'll do: Design, develop, and maintain Kubernetes controllers and operators in Golang to automate platform delivery. Collaborate with an agile team to ensure high availability, scalability, and reliability of the managed Kubernetes product.
What they ask for: Proven experience in developing Kubernetes operators using Golang and working with container technologies like Docker and Helm. Strong knowledge of cloud concepts including networking, storage, and virtualization is required.
What you'll do: Develop and maintain scalable microservices using Java and Spring Boot while owning the full development lifecycle. Collaborate with cross-functional teams to design RESTful APIs and ensure operational health within AWS and Kubernetes…
What they ask for: Requires professional experience in Java development and familiarity with Spring Boot and microservice architectures. Candidates should have a proven track record in agile environments and experience with CI/CD workflows and cloud…
What you'll do: Design and build robust, scalable software services and APIs to support scientific initiatives and data pipelines. Manage the full production lifecycle, including architectural design, deployment, and system observability.
What they ask for: Requires an MSc or equivalent experience in Computer Science or a related field with extensive experience in Python and distributed systems. Candidates must demonstrate proficiency in designing complex systems and possess strong…
What you'll do: You will build and maintain observability tools to monitor infrastructure and microservices while prioritizing developer experience. You will also contribute to incident prevention and resolution through automation and process improvement.
What they ask for: Candidates must have strong experience with observability building blocks like metrics, logs, and traces, along with proficiency in GoLang or Python. You should be comfortable working in a cloud-only, Linux-based environment using…