1 to 25 of 165 AWS Jobs in Edinburgh

within complex digital environments. Strong understanding of software architecture, including distributed systems, microservices, event-driven and serverless architectures. Experience designing cloud-native solutions using AWS and/or Azure. Strong knowledge of GIS platforms, spatial data management and open-source geospatial technologies, including tools such as PostGIS, GeoServer, QGIS, Leaflet ...

Engineering discipline. We are technology-agnostic, allowing you to select the best tools and platforms for each challenge. From .NET, Java, Python, Node.js, AWS, Azure, and more, you'll deepen your technical expertise while shaping the way our teams deliver transformative solutions. This role offers flexibility to be based from ...

frameworks, experimentation, reliability, and operational perfection. Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures. Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance, and production operations at scale. ...

next teammate Degree in Computer Science or related software engineering field, or equivalent practical experience. Strong backend experience with Java Experience with AWS as well as understanding DevOps concepts such as IaC (we use Terraform) Experience with event streaming technologies such as SNS/SQS or Kafka. Good grasp ...

next teammate Degree in Computer Science or related software engineering field, or equivalent practical experience. Strong backend experience with Java Experience with AWS as well as understanding DevOps concepts such as IaC (we use Terraform) Experience with event streaming technologies such as SNS/SQS or Kafka. Good grasp ...

maintaining personal delivery contributions. Commercial experience with .Net as well as Java or frontend). Commercial experience with at least one major cloud (Amazon Web Services, Microsoft Azure, or Google Cloud Platform) and modern infrastructure practices (containers, continuous integration/continuous delivery, infrastructure as code). Strong delivery fundamentals: estimation ...

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 ...

Strong Programming experience with at least one of the following; .Net, Python, Kotlin, Java, Typescript. ** Strong testing experience (ideally TDD) ** Cloud platforms such as AWS, Azure or GCP ** Infrastructure as Code (Terraforms and Kubernetes preferred) ** Microservices architecture ** Front-end development experience (ideally with Reactjs) Highly desirable experience includes: ** Previous work ...

system architects and product development teams, fostering an environment of innovation and excellence. Required Skills Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure). Understanding of database design and data warehouse principles. Strong understanding of investment data, good to have Knowledge of one or more programming ...

Computer Science or related software engineering field, or equivalent practical experience. 2+ years of relevant work experience. Strong backend experience with Java Understanding of AWS as well as DevOps concepts such as IaC (we use Terraform) Some experience with event streaming technologies such as SNS/SQS or Kafka. Good ...

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 ...

design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development Cloud platforms AWS CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows Observability tooling including logging, metrics and distributed ...

model versioning, monitoring, automated testing, retraining and performance optimisation. Experience using cloud platforms and cloud-native AI/ML services, such as Azure, AWS or GCP, to build and deploy scalable solutions. Strong communication and collaboration skills, with the ability to explain technical concepts to both engineering teams ...

Snowpipe, Dynamic Tables, Streams, Tasks), dbt (including dbt Projects on Snowflake), Airflow, Azure Data Factory, Informatica, or similar.Hands-on experience with major cloud platforms (AWS, Azure, or GCP) including Snowflake deployment, networking (Private Link), and cloud storage integration (S3, ADLS, GCS); familiarity with lakehouse stacks (Databricks, Delta Lake, Apache Iceberg ...

Checkpoint and Fortigate firewall solutions F5 Distributed Cloud Network automation and orchestration, such as Terraform, Ansible, or CI/CD pipelines Cloud networking across AWS, Azure, or GCP LogicMonitor or similar enterprise-grade monitoring platforms What you’ll need to succeed at FNZ A strong technical mindset with excellent attention ...

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 ...

similar languages for data processing. Big Data Technologies: Hands-on experience with tools such as Databricks, Apache Spark, and Hadoop. Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Database Management: Expertise in relational databases (e.g. Postgres, SQL Server). Data Integration Tools: Knowledge ...

client expectations.What You’ll DoDesign and build microservices-based applications using Java 11+ and Spring BootDeliver enterprise-ready cloud solutions, with a focus on AWS infrastructure and servicesBuild and manage robust CI/CD pipelines and ensure secure, scalable deploymentsWrite comprehensive tests and implement quality-driven development across the stackCollaborate ...

Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like ...

lifecycle and common data challenges. Extensive hands-on experience with SQL and NoSQL databases. Advanced knowledge of cloud platforms and big data technologies (e.g. AWS, GCP, Azure). Strong command of database design and data warehouse principles, including modelling for scale and performance. Proven experience designing and delivering data integration ...

Airflow, Kafka, or Databricks. Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).Strong communication and collaboration skills with a passion ...

Computer Science or related software engineering field, or equivalent practical experience. 2+ years of relevant work experience. Strong backend experience with Java Understanding of AWS as wellas DevOpsconcepts such asIaC(we use Terraform) Some experience with event streaming technologies such as SNS/SQS or Kafka. Good grasp on relational ...

practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling ...

with global delivery footprint With 3,800+ people and revenues exceeding 347m/302m, Version 1 is a market leader in Oracle, Microsoft, and AWS consulting services – and one of the fastest-growing digital consultancies in Europe. Job DescriptionSenior Oracle Cloud Technical ConsultantYOU MUST BE SC CLEARED OR ELIGIBLE ...

applications Proficient in Python and understanding of common libraries used by Python Proficient in HTTP, REST and web API best practices Good experience on AWS or any other cloud platform Experience with databases and data lakes: SQL, NoSQL, Databricks Experience with React, JavaScript (ES6+), HTML, and CSS Experience with ...