1 to 25 of 733 AWS Jobs in the Midlands

document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS … from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher ...

document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS … from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher ...

document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS … from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher ...

document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS … from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher ...

document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS … from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher ...

document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS … from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher ...

document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS … from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher ...

driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.## **The Role You Are Considering**As a Data Engineer, you will … Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.* Azure Data Engineer Associate and Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS ...

idioms and coroutines where applicable. Experience in Microservices design and architecture, including RESTful API services and Kotlin-based microservice patterns. Expertise in public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes).In-depth knowledge of Infrastructure as Code tools such as CloudFormation or Terraform. Proficient ...

drive continuous improvement. Monitoring, Observability & Cost Optimization: Deploy and manage cloud-native monitoring, logging, and tracing solutions (e.g., Azure Monitor, GCP Operations Suite, AWS CloudWatch, Prometheus, Grafana). Analyse resource utilization, optimise for performance and cost, and implement automated scaling and rightsizing. Produce dashboards and reports for operational and business ...

with generative AI tools and APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability ...

Possesses problem solving skills and the ability to respond to sudden unexpected demands Desirable criteria: Experience with CI/CD pipelines, cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes) Experience with post-incident reviews Previous involvement in driving adoption of SRE practices across an organization Experience delivering ...

with data quality frameworks and implementation Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache ...

with data quality frameworks and implementation Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache ...

stack development, including both front-end (HTML, CSS, JavaScript) and back-end (e.g., Node.js, Python, Ruby) technologies. Cloud Expertise: Extensive experience with cloud platforms (AWS, Azure, or Google Cloud) and services. Leadership: Proven leadership qualities, with a track record of managing teams and delivering projects. Problem-Solving: Exceptional problem-solving … design patterns. Solid knowledge of both SQL and NoSQL database technologies. Experience applying cloud security best practices across application and infrastructure layers. Desirable Certifications AWS Certified Developer – Associate AWS Certified Solutions Architect – Associate AWS Certified DevOps Engineer – Professional Docker Certified Associate Certified Kubernetes Application Developer (CKAD) Terraform Associate CompTIA Security+ ...

/IP networking. * Strong communication skills with the ability to build effective relationships across technical and non-technical teams. Desirable Skills: * Python and Django * AWS and Azure * Terraform * Docker, ECS and ECR * PostgreSQL (Amazon RDS) * Redis/ElastiCache * GitHub Actions, CodePipeline and CodeBuild * Elasticsearch/OpenSearch * Datadog and Logstash ...

/CD). Applied‐AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud‐native data + AI architectures. Enterprise ...

Strong SQL skills (database design and query optimization) and experience operating services on a major cloud platform (we run exclusively on Azure , but equivalent AWS or GCP experience transfers smoothly). Testing & Quality: A firm discipline in unit and integration testing as an integral part of your workflow. Pragmatic ...

Skills 5 plus years of experience in platform engineering, DevOps, or backend engineering, with a track record of building scalable, cloud-native environments (AWS/Kubernetes). Strong proficiency in using AI collaborators (Claude Code, Cursor, Copilot) to ship production code and an ability to optimize personal development workflows. Ability ...

Skills 5 plus years of experience in platform engineering, DevOps, or backend engineering, with a track record of building scalable, cloud-native environments (AWS/Kubernetes). Strong proficiency in using AI collaborators (Claude Code, Cursor, Copilot) to ship production code and an ability to optimize personal development workflows. Ability ...

like to hear from you: Technical Skills You have led the architectural design of systems. Highly proficient in cloud engineering (preferably in Azure AWS and GCP) Demonstrable knowledge and experience in building solutions centred around moving and processing large amounts of data at pace and scale, using cloud-native technologies ...

like to hear from you: Technical Skills You have led the architectural design of systems. Highly proficient in cloud engineering (preferably in Azure AWS and GCP) Demonstrable knowledge and experience in building solutions centred around moving and processing large amounts of data at pace and scale, using cloud-native technologies ...

Deep understanding of containerization and orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically building and operating highly resilient cloud-native architectures. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana ...

Deep understanding of containerization and orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically building and operating highly resilient cloud‐native architectures. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana ...

C#, .net & Angular would be desired Proficient in Test-Driven development (TDD), automated testing frameworks and methodologies Experienced with cloud technologies e.g. Azure, AWS In depth knowledge of DevOps practices and tools (CI/CD, containerization, etc.) Expert in database design and management (SQL, NoSQL). Strong analytical and problem ...