2 of 2 DynamoDB Jobs in the North East

team environment. Essential Skills & Experience: Skilled in Golang for backend development Experience with AWS-managed services, particularly event-driven architectures, serverless, and real-time data processing (Lambda, SQS, SNS, DynamoDB, Kinesis, etc.) Strong understanding of RESTful microservice architectures Hands-on experience with React and TypeScript (or similar front-end frameworks) Familiar with git or other distributed source control systems More ❯

engineers to reduce time-to-production for experiments and prototypes. Design and optimize data wrangling and transformation workflows using Python. Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version … Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration, CI/CD, and deployment automation. Deep understanding of ML More ❯