4 of 4 Permanent AWS Lambda Jobs in Plymouth

substantial leadership and architecture responsibilities. Core Technology skills required – Strong full stack software engineering skills. Desirable technology skills: Python, Django, React, JavaScript, MySQL, SPAs, AWS (Lambda, CloudFormation, RDS). Best practice software development skills and practices. Excellent communication skills with an open, collaborative approach. A passion for problem ...

distributed systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation … pipelines Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS) CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines Experience operating highly available systems in production environments Security, Compliance & Enterprise Secure systems design, identity/ ...

whole company. Help hire future colleagues and shape the team you want to work with. Our tech stack: We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. … building reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. ...