151 to 175 of 6,463 Azure Jobs

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 ❯

least 8 years focused on cloud technologies Minimum of 5 years of experience managing cloud infrastructure in DoD or federal environments Extensive experience with major cloud platforms (AWS GovCloud, Azure Government, or Google Cloud for Government) Proven experience with DoD IL4/IL5 cloud environment administration and compliance Technical Skills: Proficiency in Linux/Unix and Windows server administration … with DoD Enterprise DevSecOps platforms and methodologies CERTIFICATION REQUIREMENTS: Required: DoD 8570 IAT Level II certification (Security+ CE or equivalent) One major cloud platform certification (AWS Solutions Architect Professional, Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect) Desired: DoD 8570 IAM Level III certification Multiple cloud platform certifications CISSP, CISM, or equivalent advanced security certification Red Hat More ❯

align model performance with business requirements and infrastructure capabilities. Optimization: Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource usage on cloud platforms like AWS, Azure, or Google Cloud. Documentation: Maintain clear documentation of pipelines, dashboards, and monitoring processes for cross-team transparency. Minimum Qualifications Qualifications Education: Bachelor's or Master's degree in Computer … years in MLOps, DevOps, or software engineering with a focus on AI/ML systems. Proven experience deploying models in production using MLflow, Kubeflow, or cloud platforms (AWS SageMaker, Azure ML). Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring. Technical Skills: Proficiency in Python and SQL; familiarity with JavaScript or Go More ❯

align model performance with business requirements and infrastructure capabilities. Optimization : Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource usage on cloud platforms like AWS, Azure, or Google Cloud. Documentation : Maintain clear documentation of pipelines, dashboards, and monitoring processes for cross-team transparency. Onsite 5 Days a week in Rosslyn, VA Minimum Qualifications Education : Bachelor … Intelligence Integration, D evOps, or software engineering with a focus on AI/ML systems. Proven experience deploying models in production using MLflow , Kubeflow, or cloud platforms (AWS SageMaker, Azure ML). Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring. Technical Skills : Proficiency in Python and SQL; familiarity with JavaScript or Go More ❯

develop, and implement a scalable and secure DevSecOps infrastructure, including CI/CD pipelines, version control systems, and automated testing frameworks. Establish and maintain secure cloud environments (e.g., AWS, Azure, or GCP) that comply with federal security standards (e.g., FISMA, FedRAMP). Implement automated deployment and configuration management processes, leveraging infrastructure-as-code (e.g., Terraform, CloudFormation, Ansible) and containerization … e.g., Terraform, Ansible), and containerization platforms (e.g., Docker, Kubernetes). Expertise in designing, implementing, and maintaining cloud environments with a focus on security and compliance using platforms like AWS, Azure, or GCP. In-depth understanding of federal security guidelines and compliance standards (e.g., FISMA, FedRAMP) and experience deploying software solutions adhering to these standards. Solid knowledge of security scanning More ❯

to demonstrate solid engineering rigor Demonstrated experience with system testing and validation Expert troubleshooting and solutioning skills Experience with Cloud architecture and system design (prefer AWS, but will consider Azure) Strong documentation skills Familiar with Agile Methodologies Ability to accurately decompose tasks for Jira stories Developing integration interfaces using Python, PowerShell, and Groovy Experience and comfortability with Basic DevOps … Experience configuring and instrumenting Virtualization tools (Grafana, Splunk) Experience configuring and instrumenting tools providing end to end visibility, monitoring, and analytics (AppDynamics, DynaTrace) Experience with ServiceNow Other Cloud experience (Azure, Google, Oracle, IBM) Integration of virtualized applications and application streaming or layering techniques Assist with leading and overseeing a total system perspective including technical understanding of relationships, dependencies and More ❯

Cloud Build). Strong background in Linux systems, networking, and containerization (Docker, Kubernetes). Proficiency in Google Workspace API security, OAuth, API integrations, and IAM (Google, AWS IAM, or Azure AD). Proven experience managing cloud security platforms (Google Workspace, Netskope, AWS, Azure). Proficiency in DLP, Zero Trust architectures, IAM, and email security (DKIM, SPF, DMARC). 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 ❯

Design, write and deliver Infrastructure as Code software to improve the availability, scalability, latency, and efficiency of the network Build automated DevOps pipelines using tools such as GitLab and Azure DevOps Develop jobs for the deployment of various artifacts that constitute an application on a container-based environment such as Docker Participate in development of advanced CI/CD … solo settings Preferred Education, Experience, & Skills Experience with Agile software development Experience with Kafka, Elasticsearch, Redis Experience with Docker, Helm, Kubernetes Experience with cloud platforms such as AWS, VMware, Azure Certification in a cloud technology such as AWS Certification Certification in CompTIA Security+ Experience developing/maintaining CI pipeline using tools such as Gitlab CICD, Jenkins, GitHub Actions, etc. More ❯

engineering support as needed. Communicate to both technical and non-technical audiences. Preferred Education, Experience, & Skills Certifications: CISSP, CISM, Security+, CEH, GSEC, or Cloud Security certifications (e.g., AWS Security, Azure Security Engineer) Experience working in air-gapped environments or with classified systems Experience with Agile methodologies and working in sprint-based development cycles Familiarity with security in CI/…/access management strategies T Toolsets & Platforms: Security Tools: Splunk, Rapid 7 Operating Systems: Windows Server, RHEL/CentOS, Ubuntu Compliance Tools: Rapid 7, Greenlight, Illuminate Cloud Platforms: AWS, Azure, GCP Automation/Scripting: PowerShell, Python, Bash, Ansible DevSecOps: Jenkins, Git, Docker, Kubernetes Soft Skills: Strong analytical and troubleshooting skills Excellent communication and documentation abilities Self-starter with ability More ❯

secure digital engineering ecosystems that support both classified and unclassified program baselines, including data classification, multi-level security concepts, and information protection controls. Familiarity with cloud architectures (AWS GovCloud, Azure Government) for secure workloads, container orchestration (Kubernetes), microservices, and infrastructure-as-code (Terraform, CloudFormation). Knowledge of PLM/ALM integration patterns, model repositories, federated vs centralized data strategies … digital infrastructure investments. Tools & Languages (examples) MBSE tools: Cameo Systems Modeler, MagicDraw, Capella, No Magic, etc. PLM/ALM: Teamcenter, Windchill, DOORS, JAMA, Polarion, Jira. Cloud & DevOps: AWS GovCloud, Azure Government, Kubernetes, Docker, Terraform, Jenkins/GitLab CI. Scripting & data tooling: Python, SQL, REST APIs, data transformation tools. Security/compliance tooling and processes for classification, tagging, and access More ❯

of a team Self-motivated and willing to learn new technologies Good interpersonal skills Strong desire to learn and grow Experience with AWS (e.g. EC2, ASG, Lambda, etc.) or Azure cloud environments Experience with scripting languages such as PowerShell, Perl, and Python Experience working in an Agile development environment and Git Apply Now More ❯

Excellent communication and teamwork abilities Preferred Skills Prior experience working with federal clients Active CBP BI Experience working in Agile teams Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) Contribution to open-source or personal GitHub projects Local to DMV area More ❯

and outcome-oriented. Domain knowledge of financial derivatives and risk management concepts. Nice to have Prior experience in FinTech, capital markets, or trading/risk platforms. Familiarity with Git, Azure DevOps, and CI/CD pipelines. Experience optimizing performance in large, complex codebases. Exposure to distributed systems, multithreading, or high-frequency data processing. Compensation & Benefits Competitive compensation, bonus, and More ❯

with DoD Enterprise DevSecOps platforms and methodologies CERTIFICATION REQUIREMENTS: Required: DoD 8570 IAT Level II certification (Security+ CE or equivalent) One major cloud platform certification (AWS Solutions Architect Professional, Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect) Desired: DoD 8570 IAM Level III certification Multiple cloud platform certifications CISSP, CISM, or equivalent advanced security certification Red Hat More ❯

and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders More ❯

and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders More ❯