1 to 25 of 36 AWS Jobs in Edinburgh

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 ...

tooling PostgreSQL and MongoDB Modernising enterprise legacy applications Desirable Skills Knowledge of Scottish Land Registration processes Playwright TypeScript Python (2.7/3.x) SonarQube Renovate AWS S3 Aurora PostgreSQL Software Vulnerability Management If you're an experienced Software Developer who enjoys solving complex technical challenges, building modern cloud-native applications ...

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 ...

with the 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.Ability ...

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. ...

building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices ...

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 ...

experience of this would be really useful Experience operating within highly digital, engineering-led or organisations. Experience working with Google Cloud Platform (GCP), AWS or other major cloud providers. Experience embedding controls within AI, ma #J-18808-Ljbffr ...

experience of this would be really useful Experience operating within highly digital, engineering-led or organisations. Experience working with Google Cloud Platform (GCP), AWS or other major cloud providers. Experience embedding controls within AI, machine learning or advanced analytics environments. Experience implementing technology-enabled control monitoring and testing solutions. Experience ...

years of relevant work experience with a MS in Computer Science or related technical field. Your technical background will have had exposure to Java, AWS and potentially Lambdas or Kafka. Experience building or contributing to an advanced shared library, design system, or SDK Understanding of modern architectures, design patterns ...

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 ...

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 ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

expert on engagements and mentoring peers. You will build platform engineering, set engineering standards, and contribute to cost-conscious, scalable cloud solutions using GitOps, AWS Bedrock, and modern tooling. #J-18808-Ljbffr ...

design and meet enterprise standards. You will own ISMS, manage ISO 27001 certification, SOC 2 Type 2 audits, and oversee cloud security for AWS and Kubernetes. The role requires 4+ years in information security and a strong compliance/technical background. #J-18808-Ljbffr ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

focused infrastructure platforms supporting model development, training, evaluation, and inference. Engineer scalable, reliable, and secure cloud native services to support AI workloads across AWS, Azure, and hybrid environments. Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems. Enable production deployment … pragmatically within BlackRock's enterprise context. Qualifications Required Strong experience in cloud infrastructure, platform engineering, or systems engineering roles. 4+ hands‐on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage ...