1,526 to 1,550 of 6,606 Microsoft-Azure Jobs

dashboards and tools DevOps automation background with CI/CD pipelines and deployment orchestration Financial systems curiosity with interest in understanding complex trading operations Cloud platform exposure (AWS, Azure, GCP) for scalable automation solutions Highly motivated with strong self-direction and problem-solving capabilities Curious mindset eager to understand the inner workings of complex trading systems Detail-oriented More ❯

production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models More ❯

big data tools (Spark, Dask) and orchestration (Airflow, DBT). You understand NLP and have experience working with Large Language Models. You're cloud-savvy (AWS, GCP, or Azure) and comfortable with containerization (Docker, Kubernetes). You have strong problem-solving and communication skills and enjoy working on open-ended technical challenges. Bonus points if you've fine More ❯

their use to drive the business forward. Core Skills Needed: Deep experience in full-stack development with Node.js, React, and TypeScript. Strong understanding of cloud platforms (AWS/Azure), DevOps, and modern engineering principles. Experience in scaling engineering teams within startup or high-growth SaaS environments. Natural leadership and mentoring skills, with a track record of hiring and More ❯

Typescript and reactive patterns Strong understanding of modern Domain Driven Design or similar methodologies Knowledge of SOLID principles and Test Driven Development Experience with Cloud platforms in either Azure of AWS. Familiar with SQL and NoSQL databases Familiar with Agile, DevOps, Gitops and CI/CD pipelines Preferred qualifications Experience with Server-Driven UI Experience with Web Assembly More ❯

Typescript and reactive patterns Strong understanding of modern Domain Driven Design or similar methodologies Knowledge of SOLID principles and Test Driven Development Experience with Cloud platforms in either Azure of AWS. Familiar with SQL and NoSQL databases Familiar with Agile, DevOps, Gitops and CI/CD pipelines Preferred qualifications Experience with Server-Driven UI Experience with Web Assembly More ❯

Experience in applying appropriate automation testing tools and frameworks (Unit, Component, Integration, Feature tests) Experience in applying Agile methodologies (any of these: Scrum, Kanban, DSDM) Experience working with Azure or AWS Sense of ownership and pride in your performance and its impact on company's success WE WILL OFFER YOU: Work with people who are passionate about technology More ❯

What you'll be doing: Design, build and maintain secure, scalable .NET web applications using Blazor and MVC architecture Contribute to greenfield development projects migrating legacy infrastructure into Azure environments Implement automation and data solutions using RPA (e.g. Blue Prism), Power Platform, and Power BI Champion Agile delivery principles (Scrum/Kanban), using T-shirt sizing, estimation, and More ❯

in security frameworks (CIS, ISF, Mitre, NIST, or equivalent) Deep understanding of CIS18 controls and security architecture concepts Experience with incident investigation and remediation Proficiency in cloud security (Azure, AWS, or Google Cloud) Excellent stakeholder management and communication skills Relevant cybersecurity certifications (CISSP, CISM, CEH, etc.) Requirements Bachelor's degree in a related field (e.g., Computer Science, Information More ❯

Hands-on experience with MLOps frameworks and platforms (We use ClearML!) Experience with additional programming languages and frameworks is a plus Experience working with cloud platforms (GCP, AWS, Azure) Experience using Generative AI tools such as ChatGPT or Co-Pilot At Odin Vision, we believe that diversity is an important contributor to our success and long-term company More ❯

real-time data pipelines and ensuring their performance and reliability. Strong scripting and programming skills in Python, Bash, or other relevant languages. Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Detail-oriented with a focus More ❯

real-time data pipelines and ensuring their performance and reliability. Strong scripting and programming skills in Python, Bash, or other relevant languages. Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Detail-oriented with a focus More ❯

using tools such as Terraform, MLflow, AzureML, LangSmith, and more. Technical Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following More ❯

or machine learning, whether through past projects, research, or APIs. A passion for exploring and applying AI in practical business contexts. Familiarity with DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). More ❯

other modern JS libraries, but they use React.js) Exposure to event-based service-oriented architectures. Experience with CI/CD tools and container orchestration. Any use of Python & Azure DevOps would be a bonus. The right person will Be down-to-earth, easy to get on with, no ego! Be keen to explore unfamiliar tech when needed. Understand More ❯

production-grade Python services with FastAPI, Flask, or Django REST Framework Deep understanding of microservices architecture, APIs, service discovery, and messaging patterns Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker; Kubernetes a plus) Strong software engineering fundamentals: clean code, testing, performance optimization, OOP, algorithms Familiar with SQL and NoSQL databases (PostgreSQL, MongoDB) and CI/CD More ❯

as Jenkins, Git, or TeamCity. • Strong scripting skills (Bash, Python, PowerShell, Groovy, Ruby). • Experience with Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), FluentD. • Knowledge of AWS or Azure cloud environments. • Understanding of system integration protocols (JSON, REST, XML). • Experience with virtualization (VMware), Docker, and Linux/UNIX administration. Additional Information: Kubernetes certification is a plus. About More ❯

various web solution types (MVC, SPA, WebForms, SSR, API-Centric, Microservices) and application types (e-commerce, rich internet apps, portals, CMS web apps) Experience with MS SQL Server, Azure DevOps, GIT Ability to support project scoping, solution proposing, and task defining Self-motivated with strong technical and problem-solving skills Meticulous about quality and producing readable, well-written More ❯

various web solution types (MVC, SPA, WebForms, SSR, API-Centric, Microservices) and application types (e-commerce, rich internet apps, portals, CMS web apps) Experience with MS SQL Server, Azure DevOps, GIT Ability to support project scoping, solution proposing, and task defining Self-motivated with strong technical and problem-solving skills Meticulous about quality and producing readable, well-written More ❯

or machine learning, whether through past projects, research, or APIs. A passion for exploring and applying AI in practical business contexts. Familiarity with DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). More ❯

software architecture and microservices Experience working in containerised environments (Docker, Kubernetes) Familiarity with CI/CD pipelines, secure deployment practices and cloud deployment (e.g., AWS/GCP/Azure) Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Desirable: Experience with LLMs or transformer-based architectures (e.g., OpenAI, Mistral, or custom-trained models) Familiarity with tools More ❯

popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with More ❯

manufacturing companies (Aerospace & Defense industry preferred). • Proven expertise in one or more of the following: Red Hat Enterprise Linux, Windows (10, 11, Server 2019, 2022), VMware (VxRail), Azure or AWS cloud services. • Experience performing Database Cloning, Backups, Restoring, Recovery, and Monitoring. • Experience implementing role-based access control concepts (e. g. SE Linux extensions to RHEL, PitBull, AppArmor More ❯

of Agile methodologies is a must Knowledge of backend and frontend web application vulnerabilities Knowledge of OWASP Top 10, SANS Top 25 etc Experience working in AWS/Azure/GCP would be beneficial Knowledge of Ci/CD pipelines Thorough understanding of SAST, DAST (including fuzzing), endpoint and perimeter scanning etc. Familiarity with industry security standards (ISO27001 More ❯

data mesh, data orchestration, control gates review, and vulnerability management within a pipeline Expansive knowledge with integrating IaaS, PaaS, and SaaS offerings into government cloud environments (ie. AWS, AZURE & GCP) Experience would include cloud compute, cloud storage, cloud native solutions, cloud data transfer, cross domain solutions, and cloud networking Experience assessing STIGs, cloud compliance guides, Shares responsibility models More ❯