10 of 10 Permanent Amazon S3 Jobs in Berkshire

and Waterfall delivery models to meet project goals. · Mentor junior engineers and foster a culture of learning and growth. Required Skills & Experience · Strong expertise in AWS services (e.g., EC2, S3, RDS, Lambda) and/or Azure. · Hands-on experience with Infrastructure as Code tools (Terraform, ARM, BICEP). · Proficiency in containerisation and orchestration (Docker, Kubernetes/EKS). · Skilled More ❯

experience in .NET development , including .NET Core and C# . Strong experience in designing and developing Microservice architectures in cloud environments. Proven experience with AWS services including EC2 , Lambda , S3 , RDS , DynamoDB , SNS , SQS , EventBridge, AWS Amplify , and API Gateway . Familiarity with asynchronous messaging and event-based communication patterns (e.g., event queues , publish/subscribe ). Experience with More ❯

culture of continuous learning and development. Requirements Proven experience as an AWS Platform Engineer, with a strong focus on multi-tenanted platforms. Extensive knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and more. Strong background in networking, including VPN, DNS, load balancing, and firewall configurations. Demonstrated expertise in security practices, including identity and access management More ❯

Kafka, Azure Service Bus, Rabbit MQ. Microservice development. Typescript Cloud native development (AWS, Azure, GCP) CI/CD. NoSQL data modelling and access patterns Important Skills AWS: familiarity with S3, AppSync, SNS, SQS, Lambda, DynamoDB, MySQL, React AWS Infrastructure as Code: CDK and CloudFormation. Xunit. GitHub. Desirable Skills Data warehouse design. Requirements capture. Experience Demonstrable experience working full stack More ❯

Tools like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the More ❯

skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns You're collaborative and pragmatic with great communication skills What's More ❯

security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What More ❯

deliver on development needs. Build and enhance research and trading applications using Python frameworks (Django, Flask, Tornado, FastAPI), modern front-end technologies (React/Angular), and AWS cloud services (S3, SQS, AWS Batch, etc.). Develop and maintain software solutions using agile methodologies and best practices, including automated testing, version control, CI/CD pipelines (Jenkins), and workflow orchestration … commodities, and experience working with market data. Experience creating dashboards and data visualization tools using Plotly, Matplotlib, Bokeh, Dash , or similar libraries. Practical knowledge of AWS services such as S3, Athena, SQS, Batch, and Lambda. Familiarity with modern DevOps practices , including containerization and orchestration (Docker, Kubernetes). More ❯

ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control More ❯

adapt our detection strategies and effectively respond to evolving threats. About You Strong understanding of AWS cloud platforms with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation). Experience in developing and maintaining detection rules to keep our systems secure. Familiarity with GitOps concepts and CI/CD workflows to streamline … programming languages such as PowerShell, Python, or Go, with a focus on security use cases. Hands-on experience in Cyber Security within an AWS cloud environment, including triaging Amazon GuardDuty findings and analyzing AWS CloudTrail logs. Ideally a bachelor's degree in information technology, computer science, information systems, or a related field is preferred but not essential. Relevant More ❯