4,026 to 4,050 of 9,702 Azure Jobs

hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud‐based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive‐level narratives Experience working within agile, cross‐functional product ...

Agile delivery and code review practices. Exposure to ITOM, Discovery, Service Mapping, CSM, Performance Analytics, Service Portal or UI Builder. Integration experience with Salesforce, Azure, Active Directory Key behaviours Takes ownership and resolves issues in a structured, documented way. Balances delivery pace with security, supportability and governance. Collaborates effectively ...

with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation ...

certification systems. While the primary focus of this role involves support of bare‐metal on‐premises infrastructure, experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is desirable. Incident Response & Technical Troubleshooting: Serve as a technical responder for production incidents occurring during ...

teams Strong communication skills (technical and non-technical) Might haves: Experience with GitLab security tooling and pipeline integrations Familiarity with cloud-native application security (Azure/GCP environments) Exposure to API security controls and testing approaches Basic understanding of AI/LLM application risks, such as prompt injection ...

controls that govern themUnderstanding of data-driven decision making and a drive to continue developing technical and cross-functional knowledgePreferred qualifications, capabilities, and skillsKubernetes, Azure, Google Cloud Platform, or Terraform certificationsExperience working in a follow-the-sun or globally distributed on-call support modelFamiliarity with large-scale cloud migration ...

Technical Architect or similar role. In‐depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best ...

hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face* Experience working with cloud-based data and AI platforms, particularly Azure and Databricks* Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive-level narratives* Experience working within agile, cross-functional product ...

relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/ ...

software-defined networkingKnowledge of Kubernetes, VMware Kubernetes Service (VKS) (formerly TKG), and modern application platformsExperience with hybrid cloud environments including VMware Cloud on AWS, Azure VMware Solution, and Google Cloud VMware EngineFamiliarity with Infrastructure as Code (IaC) tools such as Terraform and Ansible, DevOps methodologies, CI/CD pipelines ...

Core Web Vitals optimization. Familiarity with automated build/deploy pipelines (GitHub Actions, Jenkins), edge CDNs (Vercel, Cloudflare), and cloud services (AWS, GCP, or Azure). Bachelor’s degree in Computer Science or equivalent technical experience, with advanced English proficiency (C1+) for global collaboration. If the selected candidate holds ...

modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g. ...

with LWC, Apex including triggers, asynchronous processing and integrationsExperience with Salesforce DevOps and other CI/CD tools like Jenkins, Bitbucket Pipelines, GitLab CI, Azure DevOps, etc.Hands-on experience with Git-based version control and branching models.Security best practices: awareness of Salesforce security principles and secure-by-design implementation ...

Position Qualifications Degree in Computer/IT related discipline AWS, Linux or K8s related certifications (desired) ITIL (desired) Windows Server (MCSA/MCSE/Azure Hybrid) About You We need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us. Role ...

them Understanding of data-driven decision making and a drive to continue developing technical and cross-functional knowledge Preferred qualifications, capabilities, and skills Kubernetes, Azure, Google Cloud Platform, or Terraform certifications Experience working in a follow-the-sun or globally distributed on-call support model Familiarity with large-scale ...

versatile and solution Excellent written and verbal communication skills in English Understanding of distributed systems and microservices architecture Understanding of cloud technologies (AWS, GCP, Azure, etc.) Understanding of messaging frameworks (Kafka, RabbitMQ, etc.) Experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines #ICBCareers #ICBEngineering J.P. ...

Development, Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction ...

generation (RAG) patterns Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large‐scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts ...

architectural patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

writing performant, well-tested production code. Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production, including ...

containerization and orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers.Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically building and operating highly resilient cloud-native architectures.Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog, OpenTelemetry ...

tools, such as Ansible or Salt is desirableFamiliarity with Python, Prometheus, Grafana, ELK, GitHub is desirableFamiliarity with public cloud networks, such as AWS, GCP, Azure, is desirableThe estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base ...

software engineering team Run threat modeling and security reviews for new architecture and significant features. Improve cloud security posture across AWS (primary) and Azure, partnering with platform/infra. Lead technical incident response for application‐layer incidents; coordinate with SOC and vCISO on cross‐domain incidents. Build security awareness ...

manage competing priorities effectively. Excellent communication and stakeholder engagement skills, with the ability to work collaboratively across technical teams. Public cloud infrastructure experience (Azure, AWS, or Google Cloud). Knowledge of security and compliance standards relevant to infrastructure operations. Experience working within ITIL-aligned service management environments. What ...

resilience.Experience using agentic AI developer tools to improve throughput and quality within appropriate governance and secure usage patterns.Experience with additional cloud providers, such as Azure or Google Cloud.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments ...