15 of 15 Contract AWS Jobs in Scotland

eg, IBM MQ, Kafka, RabbitMQ). Experience with data modelling, data warehousing, and data integration principles. Proficiency in Unix/Linux Shell Scripting and SQL. Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Excellent problem-solving and communication skills. Preferred Qualifications: Ab Initio certification. Experience in financial services domains. Knowledge of DevOps, CI/CD pipelines, and version More ❯

Experience in testing frameworks such as JUnit, Mockito, and Cucumber for Unit Testing and Automation Testing. Managing expectations of non-technical stakeholders. Good to Have (as applicable): Familiar with AWS via hands-on experience or certification. Familiarity with orchestration tools like Airflow. Familiarity with BASEL regulatory reporting framework. Familiarity with engineering in a regulatory-controlled environment. More ❯

in creating technical standards, blueprints, reference architectures, roadmaps, transition states and target solutions across multiple services. Cloud Expertise: Experience designing and implementing cloud solutions across major providers (e.g. Azure, AWS, GCP, Oracle) Expertise in navigating platform-specific features and optimising and automating (IaC) deployments for maximum security, performance, and cost-effectiveness. Strong understanding of cloud governance models and compliance frameworks More ❯

with building and maintaining test automation frameworks. Knowledge of CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Familiarity with containerization and cloud platforms (e.g., Docker, Kubernetes, AWS/GCP/Azure) is a plus. Strong problem-solving skills and ability to work in cross-functional teams. Good understanding of software testing principles (unit, integration, regression, performance). More ❯

ll Bring Proven expertise in Microsoft Azure (ideally within financial services) Strong hands-on experience with Terraform and infrastructure as code Knowledge of Kubernetes for container orchestration Exposure to AWS or GCP is a strong advantage This is a fantastic opportunity to work on cutting-edge cloud solutions within a collaborative, forward-thinking environment. If this sounds like the right More ❯

across global financial services. Must have's Strong Python Programming Candidate can be assessed on any medium/intermediate problem statement Expert on cloud platforms (Azure or GCP or AWS) Preferably Azure exposure and prior experience using Azure services or RHEL openshift FastAPI Any implementation using FastAPI framework and how different it is from Flask? Data engineering What are best More ❯

of cloud-based applications, ensuring scalable, secure, and reliable environments. Essential Skills/Basic Qualifications 5+ years of experience working with containers, Kubernetes, and related technologies on cloud platforms (AWS preferred). 3+ years of experience setting up cloud infrastructure using CloudFormation. Hands-on experience with DevOps tools such as Jenkins, Bitbucket, Nexus, Git, Jira, etc. Experience working with a … broad range of AWS services, including: API Gateway, Lambda, ECS, Elastic Load Balancers, EC2, MSK, RDS (Oracle preferred) Experience with virtual server hosting (EC2), container management (Kubernetes, ECS, EKS), and Linux OS administration. Solid understanding of cloud networking concepts, including VPCs, subnets, peering, firewalls, and network interconnects. Basic understanding of Java-based applications, APIs, and microservices. Desirable Skills/Preferred … in controlled environments, such as banking or financial services. Hands-on experience with Docker and at least one container orchestration platform (Amazon ECS/EKS or Kubernetes). Relevant AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Solutions Architect). Key Responsibilities Design, deploy, and maintain cloud infrastructure on AWS using CloudFormation and other automation tools. Manage containerized environments, including More ❯

SC clearance and have a strong background in delivering Solution Architecture support, with the following skills and experience: Experience designing and implementing cloud solutions across major providers (e.g. Azure, AWS, GCP, Oracle) Experience of navigating platform-specific features and optimising and automating (IaC) deployments for maximum security, performance, and cost-effectiveness. Knowledge of both software and infrastructure design considerations and More ❯

SC clearance and have a strong background in delivering Solution Architecture support, with the following skills and experience: Experience designing and implementing cloud solutions across major providers (e.g. Azure, AWS, GCP, Oracle) Experience of navigating platform-specific features and optimising and automating (IaC) deployments for maximum security, performance, and cost-effectiveness. Knowledge of both software and infrastructure design considerations and More ❯

a Senior Architecture Advisor within the wider Enterprise Architecture Community, you'll be responsible for driving architecture designs and solutions for our growing markets in areas such as Azure, AWS, Sales Force and other SaaS based initiatives. You will champion and cheerlead the needs of the region across multiple project deployment designs and will mobilize commitment and support with your More ❯

to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, Azure, AWS, etc. Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files More ❯

to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, Azure, AWS, etc. Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files More ❯

Data extraction and transformation from structured and unstructured sources Collaborate with clients to define reporting ontologies, workflow requirements, and automation goals. Rapidly prototype and iterate AI solutions using Python, AWS, and containerized environments. Ensure robust testing, performance tuning, and continuous improvement of deployed agents. Essential Skills: Strong proficiency in Python , containerized application development. Proven track record in AI/ML More ❯

communication skills. Experience working in enterprise-scale engagements under tight timelines. Nice to Have Previous involvement in RFI/RFP responses for enterprise AI solutions. Knowledge of cloud platforms (AWS, Azure, GCP) and enterprise integration patterns. Awareness of compliance and regulatory requirements (eg GDPR, PCI). Engagement Benefits Opportunity to shape a high-impact GenAI programme for a major enterprise More ❯

LLM analysis implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further information on this More ❯