12 of 12 Remote Contract Amazon S3 Jobs

development and QA teams to improve deployment workflows. Ensure compliance with security policies and cloud best practices. Document infrastructure and DevOps processes. Tech Stack: AWS Services: EC2, ECS, EKS, S3, RDS, CloudWatch, VPC, IAM, Route 53, Lambda Infrastructure as Code: Terraform (primary), CloudFormation (optional) CI/CD Tools: Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline/CodeBuild More ❯

design AI-powered agent solutions that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely More ❯

work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document analysis and automation risk assessment Lead R&D spikes and validate system improvements through robust data analysis Ensure code More ❯

Mentoring junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Tech Stack Languages: JavaScript, Node.js Databases: SQL, PostgreSQL, BigQuery Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) DevOps: Serverless, Heroku, GitHub, CircleCI Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking For Strong full stack More ❯

Terraform modules to deploy infrastructure for Databricks clusters and supporting services on AWS EC2-based Databricks E2. Manage infrastructure-as-code to provision resources such as AWS IAM roles, S3 bucket permissions, and Jenkins agents. Ensure the new infrastructure supports automated deployment pipelines for 8,000+ test cases, notebooks, and services. CI/CD Pipeline Development Develop and enhance … production environments. Required Skills & Experience: 48 years of experience in platform engineering, DevOps, or infrastructure roles in cloud-native environments. Strong experience with AWS services including EC2, IAM, ECR, S3, and Autoscaling. Deep knowledge of Databricks, including workspace setup, instance profiles, notebook CI/CD, and Delta Lake capabilities. Hands-on with Terraform for infrastructure provisioning and GitLab/ More ❯

a collaborative, high-performing environment. Disaster Recovery Assurance : Support the disaster recovery assurance process for digital services, ensuring sustainable recovery objectives. Required experience: Significant expertise with AWS (CDK, Lambda, S3, API Gateway, CloudFormation, Aurora/Postgres ). Proficiency in Typescript , React , and modern UI frameworks . Extensive experience leading cross-functional teams, implementing solutions using agile methodologies, and mentoring More ❯

a great opportunity for a Data Scientist. You will have solid experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding … skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations … insights. Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). More ❯

type hints, context managers) AWS Services & API Integration * Deep experience using AWS SDKs in both Python (boto3) and Go (aws-sdk-go-v2) to: * Interact with services like EC2, S3, IAM, CloudWatch, and Lambda. LDAP, Vault, JIRA/Confluence, Kubernetes Integration in Python & Go * LDAP: * Authentication and user/group management using ldap3 in Python. Kubernetes: * Working with the More ❯

administration skills. Ansible and Terraform experience. Strong Kubernetes experience, we want to see people who have worked on Kubernetes implementation, involved in architecture, hands on migration etc K8S, Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL - on prem background/container management Grafanna or Elastic Search- for observability Kubernetes security Observability - Open telemetry Argo Other More ❯

ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements. Skilled in scalable, reliable, and efficient data solutions , often using AWS services like S3, Redshift, EMR, Glue, and Kinesis . Please send CV's to a.otoole@tenthrevolution if you meet each requirement More ❯

Role title: Data engineer Rate: £425/d - £462/d Onsite requirement: Inside IR35 Contract lenght: 12 months Job Description : We are seeking a highly skilled and motivated Data Engineer to join our team in the Public Sector and More ❯

Required Skills & Experience Proven experience as a Programme or Delivery Manager on data-centric programmes Solid understanding of data ingestion processes and Snowflake data warehousing Familiarity with AWS Glue, S3, DBT, SnapLogic, PySpark (not hands-on, but able to converse technically) Strong governance and delivery background in a data/tech environment Excellent communication and stakeholder management skills (must More ❯