11 of 11 Remote AWS Jobs in Paisley

fine-tune search functionality using technologies like Lucene, Solr, or OpenSearch Collaborate with Data Engineers to design and deliver data pipelines Leverage cloud platforms (AWS, Azure, or GCP) for scalable and resilient processing Participate in code reviews, pair programming, and mentoring team members Support system reliability and ensure smooth operation More ❯

business supported by the applications. Desirable skills/knowledge/experience: MongoDB. Knowledge of the Equity Derivative business. Experience with cloud offerings (Azure/AWS). Some experience of technologies such as MongoDB, Kafka, IBM MQ, snowflake or other leading edge high performant data and caching technologies would be helpful. More ❯

scale. Have a solid understanding of design practices, system architecture and conducting code reviews. Experience building applications for the cloud such as Azure (pref.), AWS or GCP Know how to build REST APIs and have experience of messaging Worked with defining data models and interacting with databases Built software that More ❯

incredible new careers in the cloud. Our career programs help professionals like you to cross-train into a specialist and in-demand technology like AWS, Google Cloud, Microsoft, and Salesforce. By joining Revolent, you’ll gain access to a global community with one of the highest first-time cloud certification More ❯

field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL, Python, and ETL tools. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong understanding of data warehousing concepts. Excellent problem-solving skills and attention to detail. Benefits: Competitive salary and benefits package. Opportunities More ❯

VMware, Hyper V, or Proxmox) and scripting (PowerShell) Solid networking knowledge – DNS, DHCP, routing, firewalls, web filtering Exposure to cloud migrations, ideally Azure (some AWS experience also fine) Experience supporting enterprise platforms like IIS & SQL Familiarity with compliance standards (ISO 27001, Cyber Essentials, NIST) Excellent problem solving and communication skills More ❯

/FCX, FCSS and FCP/FCX, FCSS and FCP Cryptography, Encryption, PKI knowledge would be fantastic Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus You need to be self-motivated and solution-focused, detail-oriented, and able to work independently as well More ❯

Role: Principal AI Engineer (Agentic AI & LLM Specialist) Location: UK-based, fast-growing technology consultancy specialising in the energy sector Cloud Experience: Must have AWS or Azure (certifications desirable) Management: No direct line management required (unless preferred) Consultancy/Energy Experience: Highly beneficial, non-essential Visa Sponsorship: Not currently available … cutting-edge Agentic AI architectures and LLM frameworks. End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and … alongside experience. Core Skills Agentic AI & LLMs: Hands-on experience building, deploying, and managing large language models and agent-based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI More ❯

Role: Senior AI Engineer (Agentic AI & LLM Focus) Location: UK-based, fast-growing technology consultancy specialising in the energy sector Cloud Experience: Must have AWS or Azure (certifications desirable) Management: No direct line management required Consultancy/Energy Experience: Beneficial, but not essential Visa Sponsorship: Not currently available; right to … you meet only some criteria. Core Skills Agentic AI & LLMs: Practical experience deploying and managing large language models and agent-based workflows. Cloud AI (AWS/Azure): Experience deploying AI solutions on cloud platforms. Python: Proficient in writing clean, production-quality code. AI Model Management: Familiarity with platforms such as … lakehouses, data lakes). Additional (Nice-to-Have) Skills Infrastructure as Code: Terraform or equivalent. Containers & Kubernetes: Docker, Kubernetes. Streaming: Kafka, Kinesis. Cloud certifications (AWS or Azure). Desirable Experience Experience in consulting or the energy sector. Public engagement through blogging or speaking. Strong communication and stakeholder engagement. Integration with More ❯

language like C++, or the curiosity and commitment to learn it. ● Experience with any TypeScript frontend framework (Vue.js, React, etc.). ● Solid understanding of AWS ● Familiarity with microservices, unit/integration testing, and CI/CD pipelines. Bonus Points For: ● Hands-on with Vue.js and/or Svelte using Tailwind … CSS for modern UI development. ● Experience writing and managing GitHub Actions for testing and deployment. ● Knowledge of AWS CDK for deploying infrastructure as code. ● Understanding of message queues and event-driven architecture. 💡 What You’ll Do ● Build secure, scalable microservices and APIs in C#. ● Craft clean, user-friendly frontend experiences. More ❯

per day (via Umbrella) . Role Description: We are seeking a highly skilled and experienced Cloud Security Consultant with a strong background in AWS to join a team. This role will focus on ensuring the security of our client’s cloud technologies and architectures as they deploy GenAI solutions, and … experience specifically focused on cloud technologies and architectures. Key Responsibilities Assess and enhance the security of cloud technologies and architectures. Provide expert guidance on AWS security best practices. Train DevOps/DevSecOps teams on robust and repeatable security practices. Implement security measures for generative AI applications. Contribute to the effective … cloud and AI infrastructure environment. Required Qualifications 5-10 years of cybersecurity experience with a focus on cloud technologies and architectures. Proven expertise in AWS security. Excellent communication skills for training and collaboration purposes. Strong understanding of generative AI and its security implications and risk management of AI related risks. More ❯