826 to 850 of 7,455 Microsoft-Azure Jobs

as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow. Bachelor's Degree in Computer Science, Engineering, or related field. Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform. Experience applying DevOps principles to software development processes. Proficiency in version control systems, particularly GitHub. More ❯

as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow. Bachelor's Degree in Computer Science, Engineering, or related field. Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform. Experience applying DevOps principles to software development processes. Proficiency in version control systems, particularly GitHub. More ❯

innovative solutions. Participate in peer reviews, sharing and learning from others. Mentoring and coaching other engineers in your team. Our Tech Stack: C#, C++, Typescript and other languages. Azure Cloud technologies. Containerisation (Docker/Kubernetes) and microservice architectures. Front-end frameworks (WPF and React). Database technologies. Test automation tools such as Playwright. Common API technologies such as More ❯

customers. A positive attitude, initiative, pro-activeness and an enthusiasm and passion for engineering will help you succeed in the department. Familiarity with tools such as DOORS, Rally, Azure DevOps, Jira, as well as experience with continuous Integration, Build and Test practices would also be advantageous as we continue to improve our product portfolio and the way we More ❯

Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to More ❯

Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to More ❯

Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference More ❯

Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference More ❯

or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable and More ❯

and implementing infrastructure as code. Experience designing and maintaining systems to achieve high reliability and availability. Experience architecting, implementing, and configuring DevSecOps platforms for both cloud (e.g., AWS, Azure) and on-premises environments. Security+ CE certification, desired. Linux+ certification, desired. Security Clearance : DoD Active TOP SECRET Level Clearance Required. Travel Requirement: 33-50%, CONUS and OCONUS What Nemean More ❯

Demonstrable foundation in software engineering principles and best practices such as data structures, design patterns, microservices, event-driven architectures, object-oriented design and code optimisation. Experience with AWS, Azure or GCP cloud services (EKS, Lambda, RDS, etc.) and Docker/Containerisation Experience with CI/CD pipelines, particularly using GitHub Actions Knowledge of working with both NoSQL (preferably More ❯

or a related field (Ph.D. preferred) 2 to 5+ years of applied experience in data science, machine learning, or analytics Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred Strong problem-solving and critical thinking abilities Excellent communication skills to translate complex data More ❯

integration processes. Predictive Modeling Platform: Develop an on-demand predictive modeling platform using gRPC. Cloud and Containerization: Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges. Stakeholder Management: Provide occasional support to our customer success team. Technologies We Use: Languages: Python3, C++, Rust, SQL Frameworks: PyTorch, TensorFlow, Docker Databases: Postgres More ❯

tools and machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn) Demonstrated ability to preprocess, analyze, and visualize large datasets Experience with cloud platforms (e.g. AWS, GCP, Azure), related compute and storage systems, and with deploying machine learning models Knowledge of software development best practices, including version control and agile methodologies Experience with containerization and orchestration tools More ❯

technical and professional experience Familiarity with AI/ML capabilities offered by EPM Cloud products Experience with containerization and orchestration tools (Docker, Kubernetes) Knowledge of cloud platforms (AWS, Azure, GCP) Understanding of DevOps methodologies and tools IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive More ❯

experiment tracking and model management. Strong experience with Databricks for ML development and deployment. Hands-on experience with MLOps, CI/CD pipelines, and cloud-based deployment (AWS, Azure, or GCP). Solid understanding of data structures, algorithms, and software engineering principles. Experience working with large-scale datasets and distributed computing frameworks. Experience with deploying Retrieval-Augmented Generation More ❯

continuity planning, ensuring rapid response and system recovery. Requirements 5+ years of experience in DevOps, SRE, or cloud infrastructure roles. Strong expertise in cloud computing (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and automation (Terraform, AWS CDK or equivalent). Strong knowledge of Linux systems, networking, and security best practices. Proficiency in monitoring, logging, and alerting tools such More ❯

platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and More ❯

s a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and More ❯

s a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and More ❯

as code languages, like Terraform. Professional experience with data pipelines, data modeling, data warehouse technologies, cloud infrastructures. Professional experience with AWS and/or other cloud providers like Azure, GCP You are not dogmatic and believe in solving problems with the right tool for the job. Strong cross-team communication and collaboration skills, written and verbal. Humility and More ❯

or similar languages. Ability to perform scripting for security engineering. Familiarity with secure software development life cycle (SSDLC) and CI/CD pipelines. Experience with cloud security (AWS, Azure, Oracle Cloud) is a plus. Scripting skills (Python, Bash, PowerShell) to automate security tasks. Familiar with compliance regulations such as SOX, PCI-DSS, GLBA, and Federal Banking regulations Produce More ❯

levels including C-suite Skills we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI More ❯

monitoring and visualization: Icinga, Splunk, Grafana, ThousandEyes, Pingdom, New Relic, Datadog. Experience with tools/frameworks: git, Gitlab, Django, Nginx, and Postgresql. Experience with cloud services platforms: GCP, Azure and AWS Experience building Windows, Mac OSX, Linux, and iOS packages. Some background with virtualization technologies: VirtualBox, VMWare, or Citrix. Salary Range $100,000 - $130,000 plus bonus & equity More ❯

techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. More ❯