25 of 25 Permanent Amazon S3 Jobs in the South East

years of experience in a Data Engineering role. Strong experience and knowledge of data architectures implemented in AWS using native AWS services such as S3, DataZone, Glue, EMR, Sagemaker, Aurora and Redshift. Experience administrating databases and data platforms Good coding discipline in terms of style, structure, versioning, documentation

/InfluxDB/Grafana Application and network security best practices SSH/Iptables/TLS AWS (EC2/VPS/RDS/EKS/S3) Terraform Databases PostgreSQL/MySQL CI/CD and DevOps Tools/principles About Us Gigaclear is a leading alternative operator of rural full

/InfluxDB/Grafana Application and network security best practices – SSH/Iptables/TLS AWS (EC2/VPS/RDS/EKS/S3) Terraform Databases – PostgreSQL/MySQL CI/CD and DevOps Tools/principles About Us Gigaclear is a leading alternative operator of rural full

Site Reliability Engineering roles AWS Certification (Solutions Architect, DevOps Engineer, SysOps Administrator, or similar) with hands-on experience across core AWS services including EC2, S3, RDS, Route53, CloudFront, and ECS/EKS Infrastructure-as-Code proficiency with Terraform, CloudFormation, or similar tools Linux/Unix systems administration with strong

data analytics in Go or Python Handling real-time streaming data and batch pipelines Deploying containerised solutions to Kubernetes Working with AWS (EKS, EC2, S3) and Docker Writing clean, secure, test-driven code in an agile team Bonus experience (not essential): AI/ML concepts, Redis, Rust, Kafka/

Certified Solutions Architect, AWS Certified SysOps Administrator, or AWS Certified DevOps Engineer are required. Knowledge and experience of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Bachelor’s degree or equivalent within Information Technology, Computer Science, or related discipline 3+ years

Requirements Essential 3+ years experience in MLOps/ML Engineering/AIOps. Strong expertise in AWS (SageMaker, EKS/Fargate, Lambda, Step Functions, S3). Proficient with Docker, Kubernetes , and IaC (Terraform or AWS CDK). Experience with MLflow , CI/CD tools, and automated testing. Hands-on with

following, or be open to learning: JavaScript: React, Node, Jest, Cypress Ruby (non-Rails environment) – nice to have AWS: EC2, ECS, Lambda, S3, SQS Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues A strong communicator with empathy

similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines

practices, processes and team culture. 2. Technical Foundations Experience with any of the following is beneficial (they are open-minded): Python AWS serverless (Lambda, S3, SQS, API Gateway) React/JavaScript REST APIs SQL Strong back-end or cloud developers from other stacks will still be considered. 3. Energy

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/

practices, processes and team culture. 2. Technical Foundations Experience with any of the following is beneficial (they are open-minded): Python AWS serverless (Lambda, S3, SQS, API Gateway) React/JavaScript REST APIs SQL Strong back-end or cloud developers from other stacks will still be considered. 3. Energy

part of a Software Engineering team using the following technology: TypeScript AWS/Lambda Serverless Architecture Symfony/Laravel Step Functions OpenSearch DynamoDB ElastiCache S3 & EC2 EventBridge API Gateway CloudFormation React Coding in TypeScript, Node and PHP . Skills and Experience: You will need a solid understanding

part of a Software Engineering team using the following technology: TypeScript AWS/Lambda Serverless Architecture Symfony/Laravel Step Functions OpenSearch DynamoDB ElastiCache S3 & EC2 EventBridge API Gateway CloudFormation React Coding in TypeScript, Node and PHP . Skills and Experience: You will need a solid understanding

deliver changes. Technology Stack Full serverless cloud stack (AWS) SQL Database Python Back End Javascript/React Front End REST APIs AWS Facilities (S3/SQS/API Gateway/Lamdba) Qualifications Extensive experience of the Software Development Lifecycle Good experience of multi-tiered development via APIs Good experience

analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices (e.g. Terraform

analytics (e.g. Spark/PySpark) Experience in writing, testing and implementing scripts (e.g. Python, Scala) Experience of cloud data stack use (e.g. SageMaker Notebooks, S3, Glue, Athena) Communicating technical concepts clearly to both technical and non-technical stakeholders using appropriate language and methods. Profiling data and analysing source systems

Node.js, PHP/Laravel or equivalent • Solid experience working with headless CMS platforms and API-first ecosystems • Understanding of AWS services such as S3 • Experience with A/B testing tools, GraphQL and API development • Excellent communication skills and confidence working with non-technical stakeholders • Portfolio demonstrating high-quality

/VMware environments Manage backups & DR using Veeam Support networking: DNS, DHCP, VLANs, routing, VPN Assist with cloud technologies (M365, Intune, Google Apps, AWS S3) Work on infrastructure and migration projects Maintain documentation and deliver excellent customer service Technical Requirements Strong Windows Server & AD experience Hyper-V/VMware

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 … 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

prompts. Implement features such as chat, voice, tasks, and workforce management integrations. AWS Engineering & Automation Work across core AWS services (e.g., Lambda, DynamoDB, S3, CloudWatch, IAM, API Gateway ) to support and extend contact centre functionality. Write, update, and maintain Lambda functions (ideally Python/Node.js) to support automation … Experience Proven experience working with Amazon Connect in an engineering or configuration capacity. Hands-on experience with AWS services such as Lambda, S3, IAM, CloudWatch, DynamoDB, API Gateway . Ability to build and troubleshoot contact flows , queues, routing, and telephony features. Competence writing Lambda functions (Python

enhancing the company's infrastructure and tooling strategy. Implementing and improving Infrastructure as Code (IaC) with Terraform Working across AWS services - particularly IAM, S3, EKS Managing containerisation and orchestration. Delivering robust monitoring and alerting solutions Contributing to and maintaining CI/CD pipelines Driving ISO 27000 implementation and supporting … such as vulnerability scanners, endpoint protection, SIEM, and cloud security monitoring solutions Requirements: Extensive experience in a DevOps team lead role using AWS, (IAM, S3, EKS). Experience with IaC such as Terraform.. Cloud formation/CDK is desirable. Expert knowledge in containerisation and orchestration technologies such as Docker

other related field Minimum 1 year working experience in Information Security, with proven focus in Cloud Security Deep technical knowledge of Amazon Web Services (AWS). Expertise … Microsoft Azure and Oracle Cloud will be considered an advantage Hands-on experience on AWS services such as IAM, Organizations, SSO, VPC, Transit Gateway, S3, EC2, RDS, ELB, CloudTrail, Config, Inspector, GuardDuty, WAF, etc Clear understanding of current threats to Cloud infrastructure and advanced knowledge of securing such environments

behavioural scientists, ML engineers, and analysts have the rocket fuel they need. What they'll actually do: Build rock-solid data pipelines across AWS (S3, Glue, Athena, Bedrock, OpenSearch) and Microsoft (Fabric, Power BI) Wrangle data from everywhere: RDS, MongoDB, HubSpot, S3 lakes—you name it Create

with React or TypeScript. They'll be confident working with multi-tiered architecture via APIs and experienced with a serverless AWS setup, including Lambda, S3, SQS and API Gateway. Given the nature of the role, solid technical leadership or line management experience is important, and looking to progress further … with strong Python back end and JavaScript front end (ideally React or TypeScript) *Confident with multi-tiered architecture via APIs and serverless AWS (Lambda, S3, SQS, API Gateway) *Solid technical leadership or line management background *Able to guide standards, process and engineering best practice *Energy sector experience desirable