651 to 675 of 3,077 Permanent Azure Jobs

containerization technologies (such as Docker/Podman), and orchestration patterns • Experience with infrastructure as code (Terraform) • Experience deploying infrastructure to cloud platforms such as Azure or AWS • Experience using AI tools for software development assistance Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance ...

using modern development languages (e.g. Java, Go, Python etc) with code written to a common standard. • Experience of public cloud technologies (either AWS, GCP, Azure) and principles, in particular Infrastructure as Code. • Ability to translate user requirements into technical requirements. • Excellent interpersonal skills and able to communicate with Clients ...

5+ years in Data Engineering, Data Architecture, Analytics Engineering or related data disciplines Deep expertise in modern data platforms (Databricks, GCP, Snowflake, Data Factory, Azure SQL) Proven experience designing Data Lakehouse architectures (i.e. Medallion) Proficiency in SQL, Python , and data transformation tools (DBT, Spark) Strong understanding of data modelling ...

incident response and disaster recovery. Manage risks across cloud, SaaS, devices and networks. Set governance for responsible AI use. Cloud, Infrastructure & IT Ops Oversee Azure, Vercel, Cloudflare and hosting environments. Ensure uptime, performance, scalability and resilience. Optimise infrastructure and tooling spend. Manage core systems (Entra, Intune, MS365, DNS, password ...

which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) Experience utilizing commercial Cloud Providers such as AWS, Azure or Google Cloud Platform Experience with containerization technologies such as Docker and Kubernetes Proficiency in software development languages (e.g. Python, JavaScript, SQL, Web/ ...

which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) Experience utilizing commercial Cloud Providers such as AWS, Azure or Google Cloud Platform Experience with containerization technologies such as Docker and Kubernetes Proficiency in software development languages (e.g. Python, JavaScript, SQL, Web/ ...

Fluentd, ELK stack, Grafana) Experience integrating and supporting database solutions (e.g. MongoDB, PostgreSQL, MSSQL) Experience deploying and operating systems within cloud platforms such as Azure or AWS Experience supporting system testing, validation, and troubleshooting during deployment and operational phases Holds, or is eligible to obtain, UK Security Clearance ...

degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine). Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable ...

degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with ...

degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with ...

teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

certification is preferable Experience designing multi-instance or global ServiceNow deployments Exposure to SAFe Agile methodologies and DevOps practices Knowledge of complementary platforms (Workday, Azure/Cloud, etc.). Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/ ...

decisioning using Pega capabilities. Prior consulting or professional services experience working directly with clients. Experience deploying Pega solutions on cloud platforms (Pega Cloud, AWS, Azure). Experience mentoring and developing junior technical staff. What’s in it for you At Accenture in addition to a competitive basic salary ...

code-to streamline integration and test activities. Stand up, configure, and maintain secure test environments leveraging cloud-native and virtualized resources (e.g., AWS GovCloud, Azure Government, or on-premise equivalents). Use model-based systems engineering (MBSE) and requirements management tools to support design, analysis, and traceability. Contribute ...

code-to streamline integration and test activities. Stand up, configure, and maintain secure test environments leveraging cloud-native and virtualized resources (e.g., AWS GovCloud, Azure Government, or on-premise equivalents). Use model-based systems engineering (MBSE) and requirements management tools to support design, analysis, and traceability. Contribute ...

infrastructure-as-code and cloud architecture. Experience with building cloud native products, harnessing ‘out of the box’ cloud services/modules from AWS, MS Azure etc. ‘Consume it, don’t build it’ where appropriate. Experience using AI-assisted development tools effectively and responsibly. mkodo is a great place ...

Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation ...