17 of 17 AWS Jobs in Midlothian

document databases (e.g., PostgreSQL/PostGIS, Firebase, BigQuery). In-depth knowledge of cloud platforms and services, particularly Google Cloud Platform (or equivalent AWS/Azure services), including serverless architectures. Excellent DevOps and infrastructure skills, including Docker, Kubernetes, Linux, Terraform, CI/CD pipelines, and GitHub Actions. Strong understanding ...

operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

quality standards Using Test Driven Development (TDD) and Pair Programming to produce high quality, maintainable code Working in Agile delivery models Desirable Experience: AWS Lambda, S3, Cloud Formation, Aurora/Postgres, API Gateway, CDK Python 2.7/3.x Typescript ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This ...

patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

SDLC) Continuous Integration (CI) Continuous Delivery and Continuous Deployment (CD) Infrastructure as Code (IaC) Containerisation with Docker Container Orchestration Cloud Computing Fundamentals Cloud Platforms (AWS, Microsoft Azure and Google Cloud) Configuration Management Monitoring and Logging Security Best Practices (DevSecOps) Networking Fundamentals Automation and Scripting Incident Management and Reliability Engineering Practical ...

deliver end-to-end solutions. Tech environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure. What we're looking for Proven enterprise AI or ML architecture design, strong cloud and modern data platform ...

industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder skills matter at every level. ...

Node.js frontend web application development Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Demonstrable use of AI tools to support day to day software engineering e.g. coding, testing, and automating development tasks ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official Training in HTML, CSS, JavaScript, and React.js Official AWS certification Official Microsoft Azure certification [NH1] 30+ hands-on coding projects to build your portfolio Interactive tools including GitHub and real-world coding environments Professional ...

prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn ...

such as accessibility, security, UI/UX, performance, maintainability, deployability, etc. Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. Routinely use collaborative development practices such … infrastructure as code. Using UI pattern libraries to achieve consistent, tested, and high-quality interfaces. Code quality, monitoring, telemetry, and analytics tools. Desirable Skills: AWS Lambda, S3, Cloud Formation, Aurora/Postgres, API Gateway, CDK Typescript ...