526 to 550 of 6,568 Azure Jobs

Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps More ❯

Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps More ❯

Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps More ❯

as Junit. Experience with scripting languages such as Python and Bash. Experience working in an Agile development environment. Experience with development on Commercial Cloud Platforms (e.g., AWS, Google Cloud, Azure). Experience with cloud data services (e.g., S3, RDS, EFS). Excellent written and verbal communication skills. Proficiency with version control systems. Experience using issue/problem tracking systems. More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

requirements and create wire diagrams, prototypes, and mockups to support the development of Level of Effort (LOE) and related documentation to support Fleet requirements and related IO capabilities • Utilize Azure DevOps to manage Kanban boards, repositories, testing, and pipelines in bi-monthly sprints Job Requirements • 2+ years demonstrated experience in the field of software development with specific prior performance More ❯

Qualifications: Splunk Enterprise Security Certified Admin or Splunk Certified Core Consultant certification. Experience developing enterprise logging architectures for hybrid or cloud environments. Familiarity with other SIEM platforms (e.g., ELK, Azure Sentinel). Experience with DevOps tools such as GitLab/GitHub for version control. Additional Requirements: This hybrid role requires a minimum of three on-site days per week More ❯

Flask, or FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka More ❯

Flask, or FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

TypeScript or Python. Experience with both JavaScript and frameworks such as React and Express.js (or similar) Strong experience using HTML & CSS Experience with cloud platform providers such as AWS, Azure or GCP Experience with CI/CD and DevOps tooling and processes You will be responsible for writing clean and maintainable code that aligns to their business requirements whilst More ❯

record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. More ❯

record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

TypeScript or Python. Experience with both JavaScript and frameworks such as React and Express.js (or similar) Strong experience using HTML & CSS Experience with cloud platform providers such as AWS, Azure or GCP Experience with CI/CD and DevOps tooling and processes You will be responsible for writing clean and maintainable code that aligns to their business requirements whilst More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

monitoring/observability platforms and tools. Lead root cause analysis (RCA) for major incidents and recurring performance issues. Maintain, configure, and optimize monitoring tool deployments across cloud (e.g., AWS, Azure), on-premises, and VMware environments. Design and implement custom dashboards, synthetic monitoring, and service-level objectives (SLOs). Develop and maintain alerting strategies that reduce noise and ensure actionable More ❯

oriented with mentoring experience. Proactive & Ownership: Strong initiative and accountability. Adaptability & Continuous Learning: Staying ahead in cloud-native technologies. Additional Skills & Requirements Relevant certifications (CKA, CKAD, CKS, AWS/Azure DevOps certifications). Experience with Kubernetes operators, CRDs, or internal developer platforms (IDPs). Ability to travel up to 20% for on-site activities. Clearance Requirements Active TS/ More ❯

development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer More ❯

Architect Certification. Experience working with the DoD and/or Federal government agencies. Experience with UiPath Process Mining, Task Mining, and AI Center. Familiarity with cloud platforms (AWS, GCP, Azure) and their implications for RPA infrastructure. Background in programming languages such as C#, Python, or VB.NET. Echelon Services, LLC is an equal opportunity employer. All applicants will be considered More ❯

to deliver high-quality software solutions. • Participate in code reviews and provide feedback to improve code quality and maintainability Skills • Experience with cloud-native development and cloud platforms (AWS, Azure, Google Cloud) with a strong preference for AWS. • Proficiency in building microservices and RESTful APIs using Java frameworks such as Spring Boot. • Experience with containerization and orchestration tools such More ❯