76 to 100 of 1,328 AWS Jobs in the South East

founders, design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across More ❯

founders, design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across More ❯

collaborative mindset. Strong communication skills and a commitment to continuous learning. Desirable Requirements Knowledge of embedded systems (C/C++, Arduino/Raspberry Pi, MQTT) or DevOps tools (Docker, AWS/Azure). Familiarity with databases, microservices architecture, or responsive design principles. What We Offer Career Development: Structured mentorship, conference/training budgets, and progression pathways for specialists or generalists. More ❯

with Test-Driven Development (TDD) and automated testing frameworks Excellent collaboration and communication skills, with a track record of working effectively in Agile environments Familiarity with public cloud platforms (AWS, Azure, or GCP) and containerized deployments Experience in retail banking or financial services is beneficial Environment & Culture The team currently manages over 300 microservices and operates within a truly collaborative More ❯

/bash, and Python • Standard SQL query language and PLSQL • Agile principles and ways of working • Excellent client-facing communication skills • DevOps mindset • Excellent problem-solving abilities • Automation • Core AWS Services & Infrastructure as Code • Application Performance Optimisation On top of the salary, you will receive wide range of benefits which include: 25days holiday (+ 8 flex days), PMI, a performance More ❯

environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience with DevOps tooling, particularly Terraform and CI/CD pipelines (e.g. Jenkins). A proactive, growth-oriented mindset More ❯

/bash, and Python • Standard SQL query language and PLSQL • Agile principles and ways of working • Excellent client-facing communication skills • DevOps mindset • Excellent problem-solving abilities • Automation • Core AWS Services & Infrastructure as Code • Application Performance Optimisation On top of the salary, you will receive wide range of benefits which include: 25days holiday (+ 8 flex days), PMI, a performance More ❯

scale. Demonstrable experience with large scale datasets, data engineering workflows, and production automation. Python (production grade), SQL, Linux; strong software engineering (testing, type hints, code review, packaging). Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking (MLflow/W&B). Machine Learning for time series/tabular data More ❯

to align priorities Mentoring and inspiring junior engineers, embedding a culture of quality and continuous improvement Essential experience Strong knowledge of coding concepts and modern engineering practices Cloud expertise (AWS preferred) with infrastructure-as-code (Terraform/CloudFormation) Containerisation and orchestration (Docker, Kubernetes) Modern development frameworks (React, Node.js, Next.js, Python) Databases such as DynamoDB, MongoDB, or RDS CI/CD More ❯

manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to be a key team member of a diverse team of data engineers, fostering an environment that promotes professional growth and high performance through shared ideas and More ❯

we expect of you Minimum 5 years of experience in Platform Engineering, Site Reliability Engineering (SRE), or DevOps roles supporting cloud-native enterprise environments Proficient in Microsoft Azure and AWS platforms with hands-on experience in Kubernetes (AKS/EKS), Helm charts, and service mesh technologies such as Istio or Linkerd Strong knowledge of CI/CD automation using Azure More ❯

we expect of you Minimum 5 years of experience in Platform Engineering, Site Reliability Engineering (SRE), or DevOps roles supporting cloud-native enterprise environments Proficient in Microsoft Azure and AWS platforms with hands-on experience in Kubernetes (AKS/EKS), Helm charts, and service mesh technologies such as Istio or Linkerd Strong knowledge of CI/CD automation using Azure More ❯

Data Engineer: Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights Lead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best More ❯

with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

delivery environment Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying More ❯

delivery environment Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying More ❯

Agile/SCRUM environment.* Familiarity with CCSDS standards or ECSS data communications protocols.* Schema database formats (SCOS2000/XTCE, etc)?* Working in Ground Segment systems.* Cloud platforms such as AWS or Azure.??* Knowledge of security best practices in software development. What you'll get in return * Competitive salary and benefits package.* Flexible and hybrid working options, including every other Friday More ❯

Agile/SCRUM environment. * Familiarity with CCSDS standards or ECSS data communications protocols. * Schema database formats (SCOS2000/XTCE, etc) * Working in Ground Segment systems. * Cloud platforms such as AWS or Azure. * Knowledge of security best practices in software development. What you'll get in return * Competitive salary and benefits package. * Flexible and hybrid working options, including every other Friday More ❯

Agile/SCRUM environment. * Familiarity with CCSDS standards or ECSS data communications protocols. * Schema database formats (SCOS2000/XTCE, etc) * Working in Ground Segment systems. * Cloud platforms such as AWS or Azure. * Knowledge of security best practices in software development. What you'll get in return * Competitive salary and benefits package. * Flexible and hybrid working options, including every other Friday More ❯

Experience with MongoDB and Databricks. Familiarity with relational databases (e.g., PostgreSQL, MySQL, Oracle). Understanding of Git, CI/CD, and unit testing. Desirable Skills Exposure to cloud platforms (AWS, GCP, Azure). Experience with microservices and event-driven architecture. Awareness of financial regulations and compliance. Agile development experience. Please apply within for further details - Matt Holmes, Harvey Nash More ❯

Java Full Stack Engineer: Must be eligible for SC Clearance Extensive experience of building microservices with Java (Spring Boot) (and NodeJS as a bonus) Experience with cloud technologies such AWS or Azure Experience with CI/CD (Gitlab, GitHub, Jenkins) Experience using version control software - Git Experience using online version control tools – Bitbucket, GitHub, GitLab etc Experience using Docker, Docker More ❯

Help guide the team with technical leadership and mentoring Requirements 5+ years of experience with Ruby/Rails in production environments Exposure to DevOps practices (CI/CD, Docker, AWS, Terraform, etc.) Strong understanding of RESTful APIs, background jobs, and database optimization Experience working in agile teams and mentoring developers Excellent communication and problem-solving skills Ability to work independently More ❯

e.g., PACT) Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar Experience testing microservices and containerised applications (e.g., Docker, Kubernetes) Working knowledge of cloud environments (AWS or Azure) Understanding of accessibility testing standards Experience using tools such as Jira and Confluence for documentation and test management More ❯