101 to 125 of 3,615 AWS Jobs

with developers, designers, and product managers to ensure UI quality and usability. Implement and manage IaC solutions using tools such as Terraform , Pulumi , or AWS CloudFormation . Integrate UI tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Perform cross-browser and responsive testing using platforms … modern web applications. Strong knowledge of JavaScript/TypeScript , or other scripting languages. Experience with IaC tools (Terraform, Pulumi, etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills ...

with developers, designers, and product managers to ensure UI quality and usability. Implement and manage IaC solutions using tools such as Terraform , Pulumi , or AWS CloudFormation . Integrate UI tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Perform cross-browser and responsive testing using platforms … modern web applications. Strong knowledge of JavaScript/TypeScript , or other scripting languages. Experience with IaC tools (Terraform, Pulumi, etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills ...

with developers, designers, and product managers to ensure UI quality and usability. Implement and manage IaC solutions using tools such as Terraform , Pulumi , or AWS CloudFormation . Integrate UI tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Perform cross-browser and responsive testing using platforms … modern web applications. Strong knowledge of JavaScript/TypeScript , or other scripting languages. Experience with IaC tools (Terraform, Pulumi, etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills ...

cloud engineering role, with a strong foundation in successfully building and deploying services in the cloud \nA deep knowledge of cloud platforms such as AWS, Azure and GCPHands on experience delivering software using multiple programming languages and a thorough knowledge of modern software engineering best practicesExperience with containerisation and orchestration … product, design, and technical disciplines all successfully collaborating\n Desirable \n \n Experience working in a technology consultancy environment \nRelevant cloud certifications such as AWS Cloud Practitioner, Developer, DevOps Engineer, Security, Advanced Networking or Azure Developer, Security, DevOps, Network EngineerKnowledge of cloud vendor partner programs, such as AWS ...

read. Ship into production. Deploy from dev through UAT into production—including integration with customer data warehouses, ERP/CRM systems, and cloud environments (AWS, Azure, GCP). Enterprise readiness. Ensure the platform is configured, secured, and monitored to meet enterprise security and compliance requirements (SOC 2, ISO 27001, data … deployed or professional services motion. Experience with AI/ML platform deployments or data‐heavy enterprise applications at scale. Familiarity with major cloud environments: AWS, Azure, or GCP, including managed ML/AI services. Experience in regulated industries (healthcare/life sciences, manufacturing, energy) where compliance and change management ...

/HLC clearance. Your future duties and responsibilities Architect, build and operate cloud infrastructure Design and deliver secure, scalable, fault-tolerant infrastructure across AWS (and potentially Azure/GCP), optimised for performance, availability, and cost. Support and operate live systems Maintain deployment environments, support production systems, and manage changes … technology stack, including: Languages & Scripting: Java, Python, Go, JavaScript (TypeScript), Bash Frontend: Vue CI/CD & Automation: Jenkins, GitLab CI, Ansible, Cucumber Cloud & Platforms: AWS, OpenShift, Linux Infrastructure as Code: Terraform Data & Streaming: Apache NiFi Monitoring & Logging: Grafana, ELK Stack, SonarQube Version Control: GitLab Automation & Infrastructure as Code (IaC) Automate ...

find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced AWS Developer. As a key member of a Software Engineering team, you’ll be working with our National Security Customers to build systems that support their core … huge impact to the security of the UK. About you You will have experience in many of the following: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda ...

with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards … past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life ...

capabilities and skills Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration … critical applications Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system ...

skills: \n \n Demonstrate proficiency in Java and/or Python programming languages \nDeployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration … mission-critical applications Previous experience deploying and managing LLM-model based applications and agentsExposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector BucketsExposure to cloud-native microservices architectureFamiliarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures ...

Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data … following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi-disciplined team and clearly communicating complex technology solutions to technical and non-technical people Experience designing event processing ...

e.g. Yocto), media pipelines (e.g. GStreamer), FFMPEG, IoT devices, sensor data processing, signal conditioning, computer vision, FPGA exposure, electronics fundamentals. Platform Engineering Cloud infrastructure, AWS, distributed systems, backend services, RESTful APIs, microservices architecture, service integration, data pipelines, storage systems, relational databases (MySQL), scalability, system reliability, observability, infrastructure as code, serverless … deployments, containerisation (Docker), AWS services (Lambda, SQS, EC2, S3), IAM permissions (AWS), DevOps security, CI/CD, CI/CD tools (GitHub Workflows), Git, Python development, Python testing frameworks (pytest, unittest), JavaScript knowledge (Node.js), RabbitMQ, FFMPEG, Linux systems administration Machine Learning Applied machine learning, computer vision, object detection, image classification ...

relocation efforts. Responsibilities Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes. Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi . Deploy and manage containerized applications … Cloud Engineering . Strong expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD). Experience with cloud services (AWS, Azure, or GCP) and serverless computing . Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi . Hands-on experience with containerization and orchestration ...

systems, where reliability, compliance, and innovation are essential. Key responsibilities include: •Design & Deploy: Build and manage infrastructure solutions across on-premises and cloud platforms (AWS, Azure, GCP). •Innovate & Automate: Implement Kubernetes-based platforms, containerisation, and Infrastructure as Code (Terraform, Ansible, CloudFormation). •Secure & Govern: Apply infrastructure security, compliance … your success. You should have experience in: •Designing, building, deploying, testing, and supporting infrastructure solutions •Deployment across on-premises and cloud environments (AWS preferred, Azure/GCP desirable) •Kubernetes architecture (pods, services, deployments, networking) and containerisation (Docker) •Platform engineering and familiarity with CNCF ecosystem •Infrastructure as Code using Terraform, Ansible ...

following skills: A few years of industry experience in one of following: Java, Typescript, Python, Go, C#. Experience with Cloud Native technologies (AWS, Azure or GCP) Hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Build automation tools ...

Experience Experience with Salesforce including Apex and LWC. Native mobile development experience using Kotlin (Android) or Swift (iOS). Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with containerisation and orchestration (Docker, Kubernetes). Knowledge of microservices architecture and distributed systems. Experience with relational and/or NoSQL ...

Experience Experience with Salesforce including Apex and LWC. Native mobile development experience using Kotlin (Android) or Swift (iOS). Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with containerisation and orchestration (Docker, Kubernetes). Knowledge of microservices architecture and distributed systems. Experience with relational and/or NoSQL ...

lifecycle)Strong Python programming skills, including unit and integration testingHands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift ...

patterns and API design principles DevOps & Cloud Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Familiarity with cloud platforms (Azure/AWS/GCP) Exposure to containerisation (Docker) and orchestration (Kubernetes) Engineering Practices Strong grounding in clean code principles and design patterns (SOLID, DRY) Experience with test ...

troubleshooting What we're looking for Strong commercial full stack software engineering experience React and/or Next.js experience Node.js and TypeScript experience AWS cloud-native development experience REST APIs and microservices architecture CI/CD and modern software delivery practices Automated testing experience Experience delivering cloud-native digital products ...

drive technical direction and influence stakeholders.Experience designing experiments, training frameworks, and metrics aligned to business goals.Expertise with at least one major public cloud (AWS, GCP, or Azure) and with containerization/orchestration (Docker/Kubernetes).Strong grounding in data structures, algorithms, ML, data mining, information retrieval, and statistics.Excellent communication skills … e.g., PyTorch, Keras, MXNet, scikit-learn).Understanding of financial services or wealth management domains.Desirable: Contributions to open-source ML/LLM tooling; certifications in AWS, Azure, GCP, or Kubernetes.\n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses ...

including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar. Familiarity with tools that support local or hosted model deployment. Cloud & Infrastructure Proficiency in AWS or Azure for application hosting and deployment. Hands-on experience with Docker, Kubernetes and Docker Compose. Exposure to Infrastructure as Code tools such as Terraform. ...

system development. Understanding of systems engineering standards and processes (e.g.?MBSE SysML), and associated tool support (e.g. Enterprise Architect) Understanding of cloud platforms?(e.g., AWS, Azure, GCP) and their associated services (e.g., compute, storage, networking, APIs). Experience with API design, development, and documentation, including RESTful APIs and gRPC. Experience ...

system development. Understanding of systems engineering standards and processes (e.g. MBSE SysML), and associated tool support (e.g. Enterprise Architect) Understanding of cloud platforms (e.g., AWS, Azure, GCP) and their associated services (e.g., compute, storage, networking, APIs). Experience with API design, development, and documentation, including RESTful APIs and gRPC. Experience ...

models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.Working knowledge of containerization technologies (e.g., Docker) and orchestration tools ...