7 of 7 Remote/Hybrid AWS Lambda Jobs in Hertfordshire

long-term technology roadmap. This is a high-impact role where you’ll influence cloud, enterprise, and solution architecture and lead decisions across AWS, cloud-native services, DevOps, and large-scale integrations—particularly within affiliate marketing platforms. Responsibilities: Create and maintain comprehensive technical documentation, including API guides, integration documentation … best practices. Provide architectural leadership with a strong focus on AWS-based solutions. Lead and support affiliate marketing platform integrations. Collaborate effectively across teams, fostering strong interpersonal communication and teamwork. Stay current with industry trends, particularly in .NET and AWS ecosystems. Design and implement cloud-native architectures, REST ...

days on site Package: Up to £85,000 + benefits Industry: Retail, gaming, digital & data What You’ll Be Doing: Owning cloud integration across AWS for BI workloads, ensuring infrastructure is consistent, secure, and scalable. This role is brand new and it’s being introduced to bridge … services and deployments. Partnering with engineering, data, and reporting teams to coordinate releases and resolve technical challenges. Embedding security, governance, and compliance practices across AWS environments. Monitoring performance and cost usage, recommending improvements and efficiencies. Driving continuous improvement across pipelines, tooling, automation, and release processes. Main Skills Needed: Strong ...

analysts and banking teams. Your work will focus on: Designing and implementing robust event-driven microservices and APIs Building scalable, cloud-native systems on AWS Developing modern, responsive React front-ends Integrating LLM-powered capabilities into real-world workflows Collaborating closely with product and AI specialists to turn ideas … working with You should be comfortable with most of our core technologies: Node.js and TypeScript React and modern front-end tooling AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS) NestJS or equivalent back-end frameworks Microservices and event-driven architectures We also actively ...

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/ ...

years of experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory ...

modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines ...

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. ...