10 of 10 AWS Jobs in the Isle of Wight

APIs and backend components Proficient with: SQL (PostgreSQL, MySQL, or similar) Kafka or other messaging/event-driven platforms Docker containerization Kubernetes for orchestration AWS services (e.g., S3, Lambda, EC2, etc.) Maven for build and dependency management CI/CD pipelines and deployment automation Basic understanding of: Python (scripts, tools ...

software engineering, with excellent knowledge of C#, .NET, plus experience on the Front-End with Typescript/React. Experience with cloud services like AWS and familiarity of containerisation with Docker and EKS. Experience with Elasticsearch/OpenSearch or similar search solutions will be advantageous. Experience writing unit tests and testable ...

developer or other similar role Experience and proficiency working with Python and Jupyter Notebooks Data pipeline design skills Knowledge of cloud platforms like GCP, AWS or Azure Project management experience. Experience of participating in a volunteer organisation or open source projects. Experience working with geospatial data (raster and vector) Databases ...

backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple ...

written communication skills in English Agile mindset Ability to work in a dynamic environment Nice to Have Hands-on experience with cloud technology stack (AWS, GCP or Azure) Advanced knowledge of MongoDB (e.g. complex aggregations, performance tuning) Data visualization skills using BI tools (Tableau, Superset, or similar) \n #RemoteUK Veeva ...

demonstrates your ability to internalize complexities and tailor explanations for a given audience Familiarity with enterprise sales processs within the pharmaceutical sector Experience with AWS application stack Competitive Salary and equity in a fast-growing company. Generous paid time off (PTO). Flexible working arrangements - Remote work. ...

Certifications. Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP. Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock ...

same time, our engineers own what they ship: every service running in production is the direct responsibility of the team behind it. Our Stack: AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlin You should apply if you: have strong demonstrable experience and passion for backend development like … architecting microservices systems, including distributed data management and event-driven architectures are skilled in designing and operating containerised software hosted in a Cloud Provider (AWS, Azure, or GCP) have experience with cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc have experience writing strongly-typed languages ...

digital-first financial decisioning solutions that drive business growth. Remote first - The successful candidate will be based in UK Java, Spring Boot/AI, AWS, Graph Database, AI and ML frameworks , Agentic AI Be part of a growing AI Fintech, working with cutting-edge technologies At least 10 years … development Experience with Spring Boot and the Spring ecosystem including Spring AI Must have hands-on experience developing cloud-native applications using services like AWS S3, SQS, Kinesis, Graph DB, OpenSearch/Elasticsearch or equivalent services on other cloud platforms such as GCP Taking initiative, learning quickly, and adapting ...

microservices and APIs using Node.js and TypeScript. Build modern, responsive React frontends to make AI useful in customer workflows. Architect cloud-native systems on AWS (Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS). Implement microservices, distributed-system principles, and strong operational controls for integration into financial … production React. Experience with prompt engineering, agentic workflows, RAG, and LLM integration. Knowledge of AI evaluation frameworks, monitoring, and observability. Deep understanding of AWS, cloud-native engineering, APIs, and integration patterns. Experience with microservices, messaging patterns, event-driven, and distributed architectures. Commitment to quality, clean code, testing, and operational excellence. ...