26 to 50 of 464 AWS Jobs in the North West

developing microservices, REST APIs, Apache Kafka and Kafka Streams. Strong SQL skills and understanding of data modelling, data analysis and dbt. Cloud experience across AWS, GCP or Azure, ideally including GKE. Knowledge of Docker, Kubernetes, Helm, Jenkins, IAM and API gateways such as Apigee. Experience with Python, Pytest, API automation ...

across frontend and backend development – enough to lead by example and contribute to technical decisions. Experience with our core stack — a Java Spring Boot, AWS, Kubernetes and Kafka back end, with a TypeScript/React front end. Experience designing and building services within a microservices or domain‐driven architecture — defining ...

Python, Go, Java, C# or Bash. * Proven experience in incident management, troubleshooting and root cause analysis. * Strong observability and monitoring experience. * Experience with AWS, Azure or GCP. * Good understanding of operating systems, networking, cloud infrastructure and automation. * Experience with Infrastructure-as-Code. * Strong communication and technical leadership skills. Desirable Skills ...

design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development Cloud platforms (AWS, Azure or GCP) CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows Observability tooling including logging ...

practices Mentoring colleagues and sharing knowledge across the team Tackling complex technical challenges and driving continuous improvement Tech stack includes: Java SQL React & TypeScript AWS Docker Kubernetes Terraform CI/CD & automated testing We'd love to hear from you if you: Have strong commercial Java development experience Enjoy working ...

industries. Understanding of software architecture, integration patterns and secure solution design. Experience with DevOps tooling such as Git, Jenkins, Docker or Kubernetes. Exposure to AWS, Azure and/or Google Cloud. Experience working within large, complex delivery environments. If you think you are right for the role, or know somebody ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

some experience with the following (or related) technologies and a desire to master them as you go: Integrating code with multiple cloud providers (i.e. AWS, Azure, GCP) Ansible for Infrastructure-as-Code for our deployments Python to understand the AI Solution team's code Why join SeeChange Working ...

ownership of defined work, contribute to technical design and deliver to an agreed standard. Desirable Experience with Spring Boot, TypeScript and React. Familiarity with AWS services such as ECS, Lambda, S3 and RDS, or comparable cloud services. Exposure to Snowflake, Redis or similar technologies. Experience working with foundation-model APIs ...

stack applications Experience designing and developing distributed systems, including microservices, event‐driven architectures and high‐performance backend services Experience with cloud‐native development, particularly AWS, containerised applications and modern infrastructure concepts Understanding of DevSecOps practices, including CI/CD pipelines, automated testing, code quality controls and secure development standards Security ...

strategies, and enterprise integration solutions. Extensive experience with microservices, service-oriented architecture, event-driven systems, and distributed platforms. Experience delivering cloud-native solutions across AWS, Azure, and/or GCP. Strong understanding of API security, authentication, and integration patterns including OAuth2, OpenID Connect, REST, JSON, and API Gateway technologies. Demonstrable ...

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

platformsExperience designing and building event streaming architectures using technologies such as Apache Kafka and Azure Event HubsStrong working knowledge of Azure and/or AWS cloud services, including compute, storage, serverless, and container orchestration (e.g., AKS, EKS, Azure Functions, Lambda)Solid experience with .NET/C# and SQL Server ...

adapting quickly to different parts of the stack as the team and product evolve. Familiarity with our core stack — a Java Spring Boot and AWS back end, with a TypeScript/React front end — or a comparable modern stack, with the appetite to move across technologies. Exposure to Kubernetes ...

Required experience Core Software Engineering such as: JavaScript frameworks (React, NextJS), TypeScript, Python or Java REST API development/OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation/Testing ...

DevOps best practices across monitoring, logging and deployment The DevOps Engineer must have: 2+ years experience in DevOps/Platform Engineering Hands-on with: AWS , Terraform (or similar IaC tools) and CI/CD tooling Experience with containerisation (Docker, Kubernetes) Scripting experience ( Python, Bash or similar ) Solid understanding of Linux ...

DevOps Engineer, with strong skills in CI/CD, containerisation, deployment technologies and cloud platforms (such as Jenkins, Kubernetes, IaC, Docker and AWS). Experience in Linux system administration or similar operating systems. Understanding of database technologies, such as SQL, Elasticsearch or MongoDB. Strong communication, collaboration and problem‐solving skills ...

looking for an experienced Cloud Engineer with strong AWS expertise to design, develop, deploy and maintain cloud-based applications and services. You will work as part of an autonomous DevOps team, collaborating with software engineers, technical specialists and client stakeholders to deliver secure, scalable and reliable cloud solutions. The role … delivering high-quality cloud solutions within a collaborative engineering environment. Key Responsibilities Design, develop and maintain applications and services hosted on Amazon Web Services (AWS). Work across the full software development lifecycle, including requirements gathering, solution design, development, deployment and maintenance. Build and manage cloud infrastructure using Infrastructure ...

highly performing middle-tier components. Familiarisation with containerisation and tools like Docker and Kubernetes Experience of developing, deploying, and maintaining Cloud-Based solutions on AWS Understand principles behind highly performing web pages Experience/Familiarity with Entity framework core. Experience/Familiarity with communications technologies (Web API, Google Protocol Buffers ...

software engineering context. Familiarity with asynchronous & event-driven architectures. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. Cloud platforms such as AWS, Azure or GCP. Developing with containers Understanding the difference between relational, NoSQL and other persistence technologies. Experience building shared platforms, common services or greenfield technical ...

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with cloud data warehouse technologies such as Amazon Redshift and applying data modelling best practices. Good understanding of software engineering principles, including object ...

Amazon S3, streaming and batch processing, time‐series and analytical data stores Messaging and Integration: Azure Service Bus, RabbitMQ, event‐driven patterns Infrastructure: Azure, AWS, Docker, Kubernetes (AKS), Nginx Architecture: Microservices, Event‐driven patterns, Clean Architecture Observability and Monitoring: Grafana, Loki, Sentry, PostHog AI and Agentic Tooling: AI coding agents ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Management or, Cybersecurity qualifications and much more. You will be encouraged to have a positive work-life balance. Our hybrid-first ...

Large Language Models- Prompt engineering and context engineering- scikit-learn, PyTorch or TensorFlow- LangChain or similar AI frameworks- Cloud data platforms and services across AWS, Azure or GCP- Data warehouses and modern data platforms- Big data and distributed processing technologies- Data integration, data quality and data governance- Model testing, evaluation ...