451 to 475 of 1,980 Remote/Hybrid Azure Jobs

monitoring Real Time user interactions Technical Environment Next.js Python Node.js SQL/NoSQL OpenAI, Anthropic and open-source LLMs DevOps - Docker/Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production impact. The package includes: Competitive base salary Performance-based ...

interpersonal skills with the ability to connect across multiple teams and seniority levels. Familiarity with Agile delivery management and collaboration such as Jira, Azure DevOps, Confluence, Miro etc. Demonstrated ability to coach teams and individuals, knowing when to lead from the front and when to allow teams to self ...

governance, and quality initiatives. Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design. Experience with cloud platforms (Azure DevOps preferred). Excellent communication skills with ability to bridge technical and business teams. Strong knowledge of data security, privacy, and compliance. Nice ...

Cyber Security Consultancy Strong understanding of information security standards and frameworks, including ISO standards Experience working with cloud technologies such as AWS or Azure Knowledge of security management systems and risk management methodologies Experience assessing security controls and their effectiveness Understanding of threat and vulnerability management processes Strong stakeholder ...

applications, APIs, infrastructure, cloud, mobile and wireless security testing. Experience with black-box, grey-box and white-box testing methodologies. Knowledge of AWS, Azure, Google Cloud, OWASP, PTES and OSSTMM. Experience scoping, delivering and quality assuring complex security testing engagements. Strong communication skills with clients, stakeholders and technical teams. ...

production Technical Environment Python Node.js SQL/NoSQL OpenAI, Anthropic and open-source LLMs Vector databases and retrieval systems DevOps - Docker/Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production impact. The package includes: Competitive base salary Performance-based ...

applications, APIs, infrastructure, cloud, mobile and wireless security testing. Experience with black-box, grey-box and white-box testing methodologies. Knowledge of AWS, Azure, Google Cloud, OWASP, PTES and OSSTMM. Experience scoping, delivering and quality assuring complex security testing engagements. Strong communication skills with clients, stakeholders and technical teams. ...

Contribute to the consultancy's technical communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ...

sector You have a strong technical background - you can come from any tech background (e.g. C#, Java, Python, TypeScript, Full Stack), public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have ...

applications. Knowledge of AI orchestration, workflow automation, and modern integration patterns. Experience working with APIs and enterprise system integrations. Cloud platform experience, ideally within Azure or similar environments. Understanding of containerisation and modern deployment practices. Experience working with CI/CD pipelines and agile delivery methodologies. Strong problem-solving ...

Strong communication and problem-solving skills It would be desirable but not essential that prospective candidates have the following: • Experience with cloud platforms (AWS, Azure, or GCP) • Knowledge of geo-spatial data/PostGIS • Experience with real-time systems (e.g., streaming or chat) • Understanding of advanced OIDC flows Please ...

Power BI, Tableau, or Looker Proficiency in Python or R for data analysis and automation Experience working with cloud-based data platforms (AWS, Azure, or GCP) Excellent analytical thinking with the ability to translate complex data into clear business recommendations Outstanding communication skills — able to present insights confidently ...

Agile product delivery, backlog ownership and prioritisation expertise. • Early adopter of AI, using it to improve productivity and accelerate delivery. • Experience with Jira, Confluence, Azure DevOps or similar planning tools. Desirable Experience • Launching new products or propositions. • SME or B2B environments. • Nearshore or offshore development teams. What ...

experience with: Python OpenAI, Anthropic, Gemini, Llama or similar LLMs LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen or equivalent frameworks RAG, vector databases and embeddings Azure AI, AWS AI or Google Vertex AI MLOps, CI/CD and cloud-native deployment Docker, Kubernetes and modern software engineering practices What ...

Skills and Experience Full‐stack experience across JavaScript frameworks (React, NextJS), TypeScript, Python, Java REST API development & OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & orchestration (Docker, Kubernetes, OpenShift) Infrastructure as code (Terraform, Ansible) Relational databases (e.g. PostgreSQL) Elasticsearch/OpenSearch Unit testing/automation ...

agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI concepts clearly, and demonstrate business value ...

DevOps practices Strong understanding of software engineering principles and best practices Experience working in Agile environments Desirable Experience Experience with AWS and/or Azure cloud platforms Familiarity with Spring Boot or modern Java frameworks Experience working on SaaS platforms Background in large-scale or regulated environments Why Join ...

business intelligence initiatives. Knowledge of Agile and traditional project delivery methodologies. Experience with Tableau or other BI platforms. Experience of cloud platforms (AWS, Azure or GCP). Understanding of data governance, master data and data migration. Financial services, telecoms or enterprise commercial environment experience. What ...

working within public sector or regulated environments Knowledge of BPMN, UML, Design Thinking, or structured solution design techniques Exposure to cloud platforms such as Azure, AWS, Salesforce, or emerging technologies including GenAI Familiarity with UX principles or wireframing tools such as Figma or Balsamiq Professional Business Analyst certification Security ...

Agile delivery environments.Desirable SkillsExperience with NICE Actimize.IBM MQ, IBM Integration Bus (IIB), or Apache Kafka.Oracle PL/SQL.DataStax Enterprise.Cassandra/DataStax certifications.AWS Keyspaces or Azure Managed Instance for Apache Cassandra.Previous experience in Banking, Financial Services, Payments, or Financial Crime platforms.What You'll Be Working OnReal-time payment transaction processing ...

working within public sector or regulated environments Knowledge of BPMN, UML, Design Thinking, or structured solution design techniques Exposure to cloud platforms such as Azure, AWS, Salesforce, or emerging technologies including GenAI Familiarity with UX principles or wireframing tools such as Figma or Balsamiq Professional Business Analyst certification Security ...

/version control experience Exposure to the following skills is advantageous but not essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering ...

following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience ...

design and transparency practices Solid grasp of MLOps principles with experience deploying models in production Proficiency in Python and tools/platforms such as Azure, AWS, GCP, Databricks, MLFlow, and Airflow Strong communication skills with the ability to engage business and technical stakeholders We offer/Benefits EPAM Employee ...

Looking For Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning or AI platforms. Knowledge ...