126 to 150 of 2,766 Remote Azure Jobs

feedback loops to enable agents that learn and improve autonomously. Deploy at Scale: Integrate your agents into enterprise ecosystems (ERP, CRM, financial platforms) and deploy on cloud platforms like Azure, AWS, or GCP with robust observability. Collaborate & Influence: Partner with data scientists, product managers, and stakeholders to translate complex business needs into intelligent, autonomous workflows. Champion Ethical AI: Ensure More ❯

leadership experience, ideally within SaaS environments (this is a huge bonus!) Strong experience with Terraform, Ansible, and Infrastructure-as-Code and CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps) Solid understanding of cloud security, governance, and compliance. Knowledge of cloud cost management and performance monitoring. Excellent communication and stakeholder management skills. Nice-to-have: SQL Server | Windows More ❯

instruments across asset classes. Experience building low-latency systems and optimising performance for computational workloads. Proficient in working with SQL and managing large financial datasets. Knowledge of cloud platforms (Azure, AWS) and DevOps tools (Git, CI/CD) desirable. Excellent problem-solving and analytical skills, with a keen attention to detail. Strong communication and collaboration skills, capable of working More ❯

with compliance frameworks (ISO 27001, NIST, GDPR). Excellent problem-solving, communication, and documentation skills. Preferred Qualifications Relevant certifications (eg, CyberArk Defender, CISSP, CISM) Experience in cloud environments (AWS, Azure, GCP) and hybrid infrastructures Knowledge of DevSecOps practices and CI/CD pipeline integration Damia Group Limited acts as an employment agency for permanent recruitment and employment business for More ❯

the ability to work across a range of tooling in the following areas: Programming: with at least one language; Python, Go, Java, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands-On: The Senior Engineering role More ❯

the ability to work across a range of tooling in the following areas: Programming: with at least one language; Python, Go, Java, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands-On: The Senior Engineering role More ❯

HTML, and CSS. Use Git-based version control and CI/CD pipelines (GitHub, GitLab, Jenkins). Containerize applications using Docker and manage deployments in cloud environments (AWS or Azure). Collaborate in agile teams to deliver high-quality software aligned with business goals. Desirable Skills Experience with NoSQL (e.g., MongoDB) or SQL databases (e.g., PostgreSQL). Familiarity with More ❯

building production web applications · Strong React skills (hooks, state management, modern patterns) · Proficient in Python backend development (FastAPI, Flask, or Django) · Cloud technology experience (AWS preferred but happy with Azure and GCP experience) · Experience with Docker, Kubernetes, and Infrastructure as Code · Solid SQL skills and experience with data integration · Experience translating vague business requirements into working software · Track record More ❯

CI/CD tools, in particular GitHub, and basic version control workflows. At least three (3) years of experience using Infrastructure as Code (IaC) with Terraform, AWS CloudFormation, or Azure Resource Manager (ARM) templates. At least three (3) to five (5) years of experience to build, deploy, and debug basic web applications with familiarity with APIs Representational State Transfer More ❯

CI/CD pipelines. Familiarity with testing frameworks and test-driven development. Security awareness and the ability to implement security best practices. Performance optimization and profiling skills. Experience with Azure cloud computing platforms. Knowledge of version control systems, such as Git. Knowledge of containerization technologies (Docker, Kubernetes) is advantageous. Able to work both independently and collaboratively, take initiative, problem More ❯

CI/CD pipelines. Familiarity with testing frameworks and test-driven development. Security awareness and the ability to implement security best practices. Performance optimization and profiling skills. Experience with Azure cloud computing platforms. Knowledge of version control systems, such as Git. Knowledge of containerization technologies (Docker, Kubernetes) is advantageous. Able to work both independently and collaboratively, take initiative, problem More ❯

CD pipelines, Git, JIRA, and Agile methodologies. Strong problem-solving skills and ability to work in a fast-paced, regulated environment. Preferred Qualifications: Exposure to cloud-native development (AWS, Azure) and containerization (Docker, Kubernetes). Knowledge of DevOps practices and automated testing frameworks. Financial services background, particularly in transaction banking or corporate payments If you are interested in this More ❯

like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome career growth More ❯

Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to More ❯

Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to More ❯

Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable and More ❯

here’s a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and More ❯

here’s a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and More ❯

in at least one modern object-oriented programming language (preferably Java) and willingness to learn new technologies. Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non-SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and More ❯

in at least one modern object-oriented programming language (preferably Java) and willingness to learn new technologies. Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non-SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and More ❯

all levels including C-suite Skills we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI More ❯

on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD), and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience More ❯

Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

Tableau, or similar platforms. Strong understanding of data warehousing concepts, data modelling, and ETL processes. Strong understanding of SAP Datasphere and basic knowledge of SAP Business data cloud and Azure Databricks Excellent analytical and problem-solving skills, with the ability to work with complex data sets. Strong communication and interpersonal skills, with the ability to collaborate effectively with technical More ❯