101 to 125 of 2,864 AWS Jobs

Node.js, Spring Boot, or .NET. Strong understanding of REST APIs, databases, Git, and SDLC. Experience with SQL and/or NoSQL databases. Familiarity with AWS, Azure, or Google Cloud is a plus. Strong problem-solving and communication skills. Bachelor's degree in Computer Science, Engineering, or a related field ...

stakeholder engagement skills. Desirable SkillsExperience with MLOps, MLflow, Weights & Biases or similar experiment management platforms. Knowledge of cloud-based AI platforms such as AWS, Azure or GCP and containerisation technologies including Docker. Experience with explainable AI, adversarial robustness, privacy-preserving techniques or other Responsible AI practices. Proficiency in C++ ...

logs across observability platforms (e.g., New Relic, OpenSearch/Kibana, Coralogix). Cloud & Delivery: Familiarity with containerised, distributed cloud environments (e.g., Docker, Kubernetes, AWS), Infrastructure as Code (Terraform), and CI/CD pipelines (e.g., GitHub Actions, Jenkins), alongside solid version control (Git). Growth, leadership & collaboration Rapid Learning: A proven ...

week onsite) | £70,000 - £75,000 + Benefits This is a rare opportunity for a Senior Cloud Engineer to shape and lead AWS capability within a growing technology and consultancy environment. You'll join at an exciting stage, taking ownership of a greenfield AWS platform while helping to evolve … built around giving engineers the autonomy to make a visible impact. As they expand their multi-cloud capabilities, they are looking for an AWS specialist to play a key role in shaping future platforms and standards. The Role You will be the AWS subject matter expert, responsible for building ...

Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor to customers throughout their … delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker3. Provide technical leadership and mentorship to junior consultants while driving ...

Agile delivery teams Desirable Azure AI Services Azure OpenAI Agentic AI frameworks Azure Container Apps Azure Kubernetes Service (AKS) Infrastructure as Code Experience with AWS cloud platforms Exposure to enterprise-scale AI transformation programmes What You'll Be Working On AI-powered enterprise applications Agentic AI and intelligent workflow solutions ...

GitLab CI, or other CI/CD tools for automated testing and deployment. Understanding of testing microservices-based applications. Familiarity with cloud platforms (e.g., AWS, Azure).Understanding of Accessibility testing. BenefitsWhat We Offer: Competitive SalaryBonus SchemePrivate Healthcare Insurance25 Days Annual Leave + Bank HolidaysUp to 10 days allocated for development ...

Implement CI/CD pipelines and automation using Git, Jenkins, Terraform, Ansible, and scripting tools Design, deploy, and manage hybrid and cloud-native environments (AWS, Azure, GCP) Support containerized platforms, Kubernetes, virtualization, and VDI environments Systems, Network & Data Engineering Configure and maintain secure LAN/WAN environments, VPNs, firewalls ...

programming languages, or a related field. Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices ...

. \n Strong problem-solving skills with the ability to design and implement scalable technical solutions. \n \n Desirable \n \n Experience working within AWS, Azure, or other cloud-native environments. \n Knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. \n Experience supporting highly regulated industries such ...

solutions using an LLM backed architecture. Strong understanding of API design, microservices, and event-driven architectures. Experience building and operating cloud-native services on AWS, including Bedrock. Strong DevOps practices: CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code (e.g., Terraform/CloudFormation). Strong prompt ...

infrastructure, platform, or cloud engineering teams. Strong technical foundation in operating large-scale, highly distributed production systems on cloud platforms such as OCI, AWS, GCP, or Azure. Demonstrated ability to lead senior engineers and provide credible technical guidance. Strong understanding of reliability engineering practices, including availability, scalability, observability, incident management ...

environments. Strong understanding of data modelling , data structures, and their advantages and limitations across different use cases. Experience working with public cloud platforms , particularly AWS , including services such as EC2, RDS, Lambda, Athena, and Glue . Experience configuring and optimising Relational and NoSQL databases, including query tuning and performance optimisation. ...

automation frameworks from scratch API testing experience CI/CD experience (Azure DevOps, GitHub Actions or Jenkins) Strong troubleshooting and problem-solving skills Desirable: AWS or Azure Python, Java or C# Contract testing Docker/Kubernetes Performance testing AI/LLM application testing This is an excellent opportunity for someone ...

pipelines Docker Git Nice to Have Experience working in Agile environments. Performance, security, or accessibility testing exposure. Experience with cloud platforms such as AWS, Azure, or GCP. Interest or exposure to AI-assisted testing, Generative AI, or intelligent automation. Experience mentoring engineers or contributing to quality engineering strategy. Disclaimer: This ...

methodologies such as Agile or Scrum, in particular iterative approaches to software development in conjunction with the client. Experience with cloud platforms such as AWS, Azure or Google Cloud. Familiarity with DevOps practices and principles, such as CI/CD pipelines, containerisation (e.g. Docker) and associated orchestration. This ...

hosting and configuration. Experience withGitfor source control andGitHubfor collaboration. Ability to write clean, maintainable, and well-documented code. Helpful, but not required: Knowledge of AWS Aurora PostgreSQL or AWS DynamoDB, AWS Lambda, AWS Fargate, Angular, React, and Node.js containers to support cloud conversions over time; Experience or interest … automation tools. Familiarity with RESTful API design, JSON, and Okta authentication. Understanding of networking concepts, Windows Server environments, and cloud platforms (e.g., Azure or AWS).Working Conditions/Physical RequirementsThe role involves sustained visual or auditory attention, repetitive activities such as typing, data entry, and answering the phone, and extended ...

refine AI-generated code whilst coaching others to do the same. br • Strong track record testing complex APIs, backend architectures, and cloud-hosted environments (AWS). br • Proven ability to build, maintain, and troubleshoot automated testing within CI/CD pipelines, in collaboration with DevOps teams. br • A team-first ...

system integrations. Manufacturing ERP systems, particularly Infor CloudSuite Industrial/SyteLine and Mongoose Framework. Discrete or process manufacturing environments and quality systems. Bootstrap, Azure, AWS, GCP, or other cloud technologies. High-performance application development, CI/CD, DevOps, and containerization. Compensation & Work Arrangement Base salary: $110,000-$135,000. Full ...

system integrations. Manufacturing ERP systems, particularly Infor CloudSuite Industrial/SyteLine and Mongoose Framework. Discrete or process manufacturing environments and quality systems. Bootstrap, Azure, AWS, GCP, or other cloud technologies. High-performance application development, CI/CD, DevOps, and containerization. Compensation & Work Arrangement Base salary: $110,000-$135,000. Full ...

system integrations. Manufacturing ERP systems, particularly Infor CloudSuite Industrial/SyteLine and Mongoose Framework. Discrete or process manufacturing environments and quality systems. Bootstrap, Azure, AWS, GCP, or other cloud technologies. High-performance application development, CI/CD, DevOps, and containerization. Compensation & Work Arrangement Base salary: $110,000-$135,000. Full ...

/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real-time activation patterns would ...

Windows expertise. • Experience leading cross-functional engineering teams. Preferred Qualifications • Edge AI platforms. • Device telemetry systems. • Firmware integration experience. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices ...

engineers, architects, and leaders in an Agile environment. What You Will Learn A breadth of advanced software technologies and techniques including multi-tiered architectures, AWS web services, and microservice software design. Modern DevSecOps and Continuous Integration/Continuous Delivery techniques. Software lifecycle practices for defense projects. Satellite ground system technologies. ...

Organizations, networking, KMS, CloudTrail, GuardDuty, Security Hub, workload identity, private connectivity, and multi-account patterns. Amazon EKS or equivalent Kubernetes in production. IaC security: AWS CDK, Terraform, CloudFormation, static analysis, policy enforcement, and secure module design. GitOps security: repository controls, signed artifacts, environment promotion, drift detection, and deployment guardrails. Software ...