676 to 700 of 10,828 Permanent Azure Jobs

Python (Django or Flask), NodeJS, and/or .NET Core. Desired Skills Experience with docker/containerization/Kubernetes is a definite plus. Experience deploying and Securing apps in Azure (API Management/Serverless deployment/Azure Keyvaults). Ability to interface with various backend processes and databases including strong SQL skills hands on experience with Kafka working … with Avro schemas and confluent schema registry, Redis, and/or Snowflake. Familiarity with Azure DevOps, git and deployment pipelines is an added bonus. #MTS1 Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or More ❯

CD pipelines, leveraging microservices, containerisation, orchestration, and telemetry. Architect solutions using front and backend technologies ensuring scalability, security, and operability. Develop and deploy cloud-based solutions on platforms like Azure, AWS, and Google Cloud. Collaborate with UX and UI teams to create intuitive and engaging user interfaces. Ideal Candidate Profile: Proven experience in senior technical leadership within software product … including React, Angular, and Solid backend development skills in Go, Java, Python, REST, or GraphQL. Experienced with SQL, NoSQL, and various databases. Familiar with cloud platforms (AWS, Google Cloud, Azure) and their service ecosystems. Deep understanding of security best practices and implementation. Skilled in DevOps tools and methodologies such as CI/CD, Docker, Kubernetes. Experienced with agile methodologies More ❯

communities which enable them to leverage the skills and experience of a wider set of practitioners. Key Skills Strong expertise in at least one major cloud platform e.g. AWS, Azure, GCP . Knowledge of modern, cloud native, tech stacks. Proficiency with Infrastructure as Code tools, particularly Terraform. Experience with CI/CD tools e.g. Jenkins, GitHub Actions, Azure More ❯

communities which enable them to leverage the skills and experience of a wider set of practitioners. Key Skills Strong expertise in at least one major cloud platform e.g. AWS, Azure, GCP . Knowledge of modern, cloud native, tech stacks. Proficiency with Infrastructure as Code tools, particularly Terraform. Experience with CI/CD tools e.g. Jenkins, GitHub Actions, Azure More ❯

experience; Masters preferred.10-15 years of experience in DevOps, infrastructure engineering, site-reliability engineering or similar roles.Deep hands-on experience with CI/CD tools (Jenkins, GitLab CI, CircleCI, Azure DevOps, etc.Proven track record with IaC tools (Terraform, CloudFormation, Ansible, Puppet, ChefStrong expertise in containerization and orchestration (Docker, Kubernetes, Helm, etc.Proven experience managing cloud infrastructure (AWS, Azure, GCP More ❯

with internal and third-party applications, ensuring seamless data flow and interoperability. Manage and implement Identity and Access Management (IAM) and Single Sign-On (SSO) solutions using tools like Azure AD, Okta and Oracle Identity Cloud Service. Establish and maintain CI/CD pipelines, test automation and observability practices using tools such as Azure DevOps, GitHub and Jenkins … and maintaining RESTful and SOAP APIs, with strong knowledge of JSON and XML. Hands-on experience with Identity and Access Management (IAM) and Single Sign-On (SSO) solutions, including Azure Active Directory, Okta, and Oracle Identity Cloud Service. Proven experience in designing and managing cloud-native applications and infrastructure using Oracle Cloud Infrastructure (OCI), AWS, or Azure. Strong background More ❯

challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

for each projects context. Evaluate emerging tools, technologies, and design patterns to recommend optimal solutions. Guide the design and implementation of data platforms using cloud and hybrid environments (e.g. Azure, AWS). Oversee the design of data pipelines, APIs, and services to ensure efficient data flow and interoperability. Collaborate with Data Engineers and Developers to ensure alignment between architectural … sector digital standards and GDS practices. Experience in agile and DevOps delivery environments. Prior consultancy or client-facing experience, including pre-sales engagement. Certification in a major cloud platform (Azure Solutions Architect, AWS Certified Data Analytics, etc.). Knowledge of data engineering best practices and testing frameworks. Strong stakeholder engagement and consulting skills, including requirements elicitation and workshop facilitation. More ❯

skills, with experience in initiating open and candid relationships with people at all levels. Demonstrates confidence in influencing and explaining things well to compel others. C#/.Net in Azure Cloud Tech Stack - One or more of these technical skills C#/.Net NodeJS Web API Messaging ( Rabbit or Kafka) Kubernetes/Docker AWS/Azure GIT Terraform More ❯

for each projects context. Evaluate emerging tools, technologies, and design patterns to recommend optimal solutions. Guide the design and implementation of data platforms using cloud and hybrid environments (e.g. Azure, AWS). Oversee the design of data pipelines, APIs, and services to ensure efficient data flow and interoperability. Collaborate with Data Engineers and Developers to ensure alignment between architectural … sector digital standards and GDS practices. Experience in agile and DevOps delivery environments. Prior consultancy or client-facing experience, including pre-sales engagement. Certification in a major cloud platform (Azure Solutions Architect, AWS Certified Data Analytics, etc.). Knowledge of data engineering best practices and testing frameworks. Strong stakeholder engagement and consulting skills, including requirements elicitation and workshop facilitation. More ❯

each project’s context. Evaluate emerging tools, technologies, and design patterns to recommend optimal solutions. Guide the design and implementation of data platforms using cloud and hybrid environments (e.g. Azure, AWS). Oversee the design of data pipelines, APIs, and services to ensure efficient data flow and interoperability. Collaborate with Data Engineers and Developers to ensure alignment between architectural … sector digital standards and GDS practices. Experience in agile and DevOps delivery environments. Prior consultancy or client-facing experience, including pre-sales engagement. Certification in a major cloud platform (Azure Solutions Architect, AWS Certified Data Analytics, etc.). Knowledge of data engineering best practices and testing frameworks. Strong stakeholder engagement and consulting skills, including requirements elicitation and workshop facilitation. More ❯

each project’s context. Evaluate emerging tools, technologies, and design patterns to recommend optimal solutions. Guide the design and implementation of data platforms using cloud and hybrid environments (e.g. Azure, AWS). Oversee the design of data pipelines, APIs, and services to ensure efficient data flow and interoperability. Collaborate with Data Engineers and Developers to ensure alignment between architectural … sector digital standards and GDS practices. Experience in agile and DevOps delivery environments. Prior consultancy or client-facing experience, including pre-sales engagement. Certification in a major cloud platform (Azure Solutions Architect, AWS Certified Data Analytics, etc.). Knowledge of data engineering best practices and testing frameworks. Strong stakeholder engagement and consulting skills, including requirements elicitation and workshop facilitation. More ❯

each project’s context. Evaluate emerging tools, technologies, and design patterns to recommend optimal solutions. Guide the design and implementation of data platforms using cloud and hybrid environments (e.g. Azure, AWS). Oversee the design of data pipelines, APIs, and services to ensure efficient data flow and interoperability. Collaborate with Data Engineers and Developers to ensure alignment between architectural … sector digital standards and GDS practices. Experience in agile and DevOps delivery environments. Prior consultancy or client-facing experience, including pre-sales engagement. Certification in a major cloud platform (Azure Solutions Architect, AWS Certified Data Analytics, etc.). Knowledge of data engineering best practices and testing frameworks. Strong stakeholder engagement and consulting skills, including requirements elicitation and workshop facilitation. More ❯

PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or tools such as … Jenkins and Concourse. Cloud Platforms: Hands-on knowledge of AWS, Azure, or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and administering Linux or Unix-based solutions, including virtualization and containerization techniques. Roles and Responsibilities Collaboration & Full Lifecycle Work in partnership with Argo and its partners, overseeing the full More ❯

PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or tools such as … Jenkins and Concourse. Cloud Platforms: Hands-on knowledge of AWS, Azure, or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and administering Linux or Unix-based solutions, including virtualization and containerization techniques. Roles and Responsibilities Collaboration & Full Lifecycle Work in partnership with Argo and its partners, overseeing the full More ❯

front-end development with React and back-end experience with Node.js or similar frameworks Working knowledge of Python with a willingness to engage across varied tech stacks Experience with Azure and cloud-native development practices Proficiency with both relational and NoSQL databases Familiarity with microservice architectures and common integration patterns Hands-on experience delivering in an Agile/Scrum … environment Proven use of CI/CD pipelines (e.g. Azure DevOps, GitHub Actions, GitLab) Confident communicator experienced in collaborating directly with clients and internal delivery teams Ability to support teammates, lead development ceremonies and actively contribute to QA and testing processes Willingness and ability to undergo a Security Clearance (SC) application if not a current holder Desirable Skills/ More ❯

the creation and use of reusable components, solution templates, and documentation standards. Libraries and Frameworks: React, Next.js, Node.js, .NET Testing: Vitest, Playwright, Pact, K6 Infrastructure and DevOps: GitHub Actions, Azure, Kubernetes, Docker, Terraform While familiarity with our full technology stack is desirable, it is by no means required. Required Skills & Experience Proven experience in solution architecture, technical leadership, or … to contribute to codebases and solve complex technical challenges. Strong understanding of modern software architectures (e.g., microservices, APIs, serverless). Experience with one or more cloud platforms (e.g., AWS, Azure, GCP). Strong working knowledge of web and mobile technologies, RESTful APIs, and front-end/back-end development patterns. Excellent understanding of software development methodologies, DevOps practices, and More ❯

years of full-stack development experience (Python/Django). Strong experience with SQL databases (PostgreSQL/MySQL). Familiarity with DevOps tools (Docker, Kubernetes, AWS/GCP/Azure). Experience with API development and Git. More ❯

quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business … integration testing, differential testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor More ❯