1 to 25 of 54 AWS Jobs in Scotland

complex technical problems, shaping standards and approach, supporting other developers, and staying hands-on where it counts most. The environment is modern TypeScript and AWS, with strong backend engineering at the core. AWS CDK and infrastructure as code are essential, alongside microservices and modern web and mobile product development. This … leadership will all have visible impact. What they’ll want from you You’ll need strong TypeScript and backend development experience, plus solid AWS capability. AWS CDK and infrastructure as code are key. Experience in microservices and architectural input will matter too. This could suit someone already working ...

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 ...

collaborate across different levels and stakeholder groups Preferred qualifications, capabilities, and skills Knowledge of distributed tracing, metrics, and logging best practices Certification in AWS, Kubernetes, or relevant technologies Proven track record in system health monitoring, capacity management, and blameless postmortems for high‐availability services Deep understanding of distributed system design ...

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. ...

Proven track record in a Technical Lead (or similar) role with team leadership responsibility Hands-on experience designing and delivering cloud-native solutions within AWS (including infrastructure deployment) Strong knowledge of Infrastructure as Code, CI/CD pipelines, and automated deployment practices Ability to design scalable, secure, and resilient systems ...

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 ...

language such as C#, Java, PHP, C++, Python or similar Good SQL/database knowledge (queries) Interest in cloud technologies such as Azure or AWS Clear communication skills and motivation to work in a remote Agile team UK right to work without visa sponsorship Salary/benefits includes ...

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 ...

leadership and mentoring within multidisciplinary teamsExperience Required:Experience designing AI, ML or modern data architectures within enterprise environmentsStrong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologiesExperience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environmentsExperience with LLMs, prompt engineering, embeddings, semantic ...

stack Solid understanding of software development principles, design patterns, and best practices Experience working with version control systems, particularly Git Familiarity with cloud platforms (AWS, Azure, or GCP) is desirable Strong problem-solving skills and a genuine passion for building great software Excellent communication and collaboration skills within a team ...

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 ...

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. ...

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. ...

transformation approaches - Excellent communication and consulting skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous ...

Platform‐agnostic engineering mindset; able to work across varied client stacks. Experience with cloud AI services and MLOps/LLMOps (e.g., Azure AI Foundry, AWS SageMaker and/or Bedrock). Strong software engineering practices: Python, APIs, containerisation, CI/CD, IaC, testing, observability and production support. Modern ML/ ...

Experience with continuous integration and deployment pipelines. Design Principles: Strong grasp of software design principles and patterns. Preferred Skills Experience with public cloud platforms (AWS, Azure, GCP). Familiarity with Kafka, MQ, or other streaming services. Exposure to AI-assisted development tools such as Co-pilot. ...

Architecture Background: Deep experience designing enterprise infrastructure across physical, virtual, and containerised environments (Linux & Windows).Cloud & Automation: Proven track record with major cloud providers (AWS or Azure) and Infrastructure as Code (IaC).Security First: Strong understanding of Secure by Design principles, identity management (IAM), and ideally, Zero Trust frameworks.No-Nonsense ...

Background: Deep experience designing enterprise infrastructure across physical, virtual, and containerised environments (Linux & Windows). Cloud & Automation: Proven track record with major cloud providers (AWS or Azure) and Infrastructure as Code (IaC). Security First: Strong understanding of Secure by Design principles, identity management (IAM), and ideally, Zero Trust frameworks. ...

teams to deliver end-to-end solutions.Tech environmentPython, 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 forProven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge ...

production environments Advanced proficiency in Python for building production‐grade services and tooling Proficiency with automation and continuous delivery methods Hands‐on experience with AWS and Terraform for infrastructure delivery and lifecycle management Strong understanding of site reliability engineering practices, including incident management, root‐cause analysis, runbooks, and reliability 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 - Entry Level Development placement (£25K - £40k) We work with you to secure your first role ...

maintained and managed effectively and efficiently. - Understanding of release management tools, version control systems, and CI/CD pipelines. - Familiarity with cloud environments (e.g., AWS, Azure). Minimum Criteria (Mandatory) Experience of Secure by Design Solutions Application Design and architecture Experience of cyber security, monitoring and reporting tools and solutions ...