701 to 725 of 5,004 AWS Jobs

Django on a service‐oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability and extensibility. As Software … PostgreSQL preferred), including schema design, normalisation and query optimisation. Solid grasp of computer science fundamentals : data structures, algorithms and software design patterns. Experience with AWS and cloud‐native infrastructure; familiarity with CI/CD pipelines (e.g. Jenkins). Ability to work UK working hours (+/- 3 hours) . Excellent ...

baked into the CI/CD pipelines, and maintain the reliability of critical public services. Key Technical Stack Cloud Infrastructure: Expert-level knowledge of AWS . Orchestration: Deep experience with Kubernetes (EKS) . GitOps & Deployment: Proficiency with ArgoCD for continuous delivery. Infrastructure as Code: Proven experience with Terraform . ...

Principal role Strong background working in a cloud-native data platform Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills ...

learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

Python and/or Java for backend service development LLM integration experience – OpenAI, Anthropic, or equivalent APIs MCP, REST APIs, Microservices Architecture Cloud platforms – AWS, Azure, or GCP Preferred Agentic framework experience – LangChain, LangGraph, AutoGen, or similar RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector) Agile/SDLC ...

data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas implemented fast Get exposure to cloud computing (AWS/Azure), CI/CD pipelines, and AI tools What We’re Looking For A recent STEM graduate (Computer Science, Engineering, Physics, Maths, etc.) from ...

experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven Design, and Agile delivery. • Experience with documentation, CI/CD pipelines, and multi-environment controls. • Excellent communication ...

initiatives across multiple sectors (banking, insurance, telecom, public sector, manufacturing, retail). Technical Expertise Extensive experience with Microsoft Fabric core features. Proficiency in Azure (AWS and GCP are an advantage) and infrastructure‐as‐code tools (e.g., Terraform). Strong background in databases, data warehouses, and distributed processing frameworks. Familiarity with ...

pipelines, data modelling, and integration of data science and analytics. Experience delivering cloud-native solutions, ideally within Google Cloud Platform (GCP), or equivalent AWS or Azure experience. Proficiency in Kubernetes, Jenkins, CI/CD tooling, and multi-cloud environments. Strong understanding of DevOps principles, automated testing frameworks (TDD/ ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

fast-paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure ...

running production-grade cloud platforms, ideally within secure or regulated environments, along with a practical, hands-on DevOps mindset. You should be comfortable with: AWS and hybrid cloud environments Infrastructure-as-Code tooling such as Terraform and/or Ansible CI/CD pipelines and source control (GitHub, GitLab, Atlassian ...

containerised workloads in production. To be clear: this is NOT a traditional "DevOps" role! (Some elements, but we have whole other teams for this) AWS experience is a strong plus, as is exposure to continuous release practices and progressive delivery. Why you’ll love this job You will ...

enterprise settings is highly desirable. Key Skills Python (essential) LLM frameworks (LangChain, LlamaIndex, Semantic Kernel) API integration and microservices development Cloud platforms (Azure, AWS, or GCP) Vector databases and embeddings Git, CI/CD, and DevOps practices Desirable Experience Experience with Azure AI/Microsoft Copilot stack Fine-tuning open ...