11 of 11 Amazon S3 Jobs in the City of London

such as Terraform, CloudFormation or CDK. •Develop automation and scripting solutions using Python, Bash or Shell. •Work with AWS services including EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS and IAM. •Support continuous integration and delivery using modern CI/CD tooling. •Troubleshoot complex technical challenges ...

products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia ...

modern AWS data services. Architect and develop data ingestion, processing, and transformation pipelines. Design and optimize data storage solutions using AWS services such as S3 and Lake Formation. Develop serverless data processing solutions using AWS Lambda and AWS Glue. Implement data governance and access control frameworks using AWS-native … hands‐on experience working with AWS cloud services. Strong expertise in AWS data and analytics services, including: AWS Lambda AWS Glue Amazon S3 AWS Lake Formation Amazon Athena Experience building Lakehouse architectures and modern data platforms. Experience working with data formats such as Parquet ...

Experience testing REST APIs using tools like Postman or automation frameworks Desirable Skills (The Competitive Edge) Cloud Proficiency: Experience with AWS or GCP (e.g., S3, EC2, Lambda, GKE) Agentic AI Exposure: Experience or strong interest in: Autonomous testing agents AI-driven test orchestration Prompt engineering for QA use cases ...

automated. Works with ops teams to optimize processes. Designs maintainable, observable, and resilient solutions. Mandatory Technical Skills: Python AWS Services Lambda, Step Functions, S3, APIs/EventBridge. Practical, hands-on experience (not certification-only). Data Pipelines & Scripting Understanding of data pipelines. Comfort with scripting (Python, Bash, etc.). ...

design experience Experience of using Agentic AI coding tools - e.g. Claude Code, Co-Pilot Agent Mode, Devin Experienced with Cloud Technologies – ideally AWS – e.g. S3, SQS, Lambda, Fargate Strong RDBMS knowledge Experience developing distributed, micro services-based applications. Experience with data modelling and curation for large-scale datasets Preferred ...

workflows Risk & privacy modules — correlation, remediation BigID Open SDK, APIs, and custom app development Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/ ...

measured Desireable: Experience writing complex validation logic using tools like Great Expectations, dbt tests, Elementary, Soda, or Deequ. Familiarity with AWS data services ( S3, Athena, Glue ) Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery ) A pragmatic problem solver who can balance technical excellence with business ...

concrete migration treatments (rehost, replatform, refactor, etc.) and address dependencies, cutover sequences, and rollback strategies. Core AWS & EKS Patterns: Design specific integration patterns for S3, VPC, IAM, KMS, CloudWatch, and CloudTrail. Define managed Kubernetes/EKS landing patterns where container runtimes are required. Infrastructure as Code: Ensure all designs … complex AWS migrations. Active AWS Certified Solutions Architect – Professional credential. Extensive knowledge of core AWS services, specifically VPC, IAM, KMS, CloudWatch, CloudTrail, AWS Config, S3, EC2, RDS, and Lambda. Strong expertise in designing AWS Landing Zones and workload isolation patterns. Hands-on experience with IaC tools—specifically Terraform ...

strong focus on improving production services and incident response. AWS Cloud Services leadership: Advanced hands‐on experience designing and deploying scalable systems utilizing Amazon Web Services, including DynamoDB, SNS, SQS, and S3. AI‐Assisted Development: You are highly comfortable leveraging AI coding assistants and LLMs to accelerate workflow ...

Lake, and Databricks notebooks. Develop end-to-end ETL/ELT pipelines for ingestion, transformation, validation, and consumption. Work with AWS services such as S3, Glue, Lambda, EMR, IAM, KMS, CloudWatch, Secrets Manager, Athena, and related services. Implement lakehouse architecture using Databricks, Delta Lake, and AWS S3. Build data … optimization. Experience with Spark SQL and large-scale distributed data processing. Strong understanding of Delta Lake and lakehouse architecture. Hands-on experience with AWS S3 as a data lake storage layer. Experience in building ETL/ELT pipelines for batch and near-real-time data processing. Experience with data ...