Full Stack Engineer

Hi,

Greetings!

We are looking for Lead Engineer for our client in Remote location.

Below are more details on it. Please do let me know if you/your friends would be interested/available.

Thank you

Role: - Lead cloud full-stack Engineer

Location: Remote

Type: long term Contract

Profile: Strong cloud full-stack engineering experience, with deep knowledge across backend services, data platforms, APIs, and front-end analytics applications.

You are comfortable designing and operating cloud-native solutions end to end—from data ingestion and transformation to secure service layers and intuitive dashboard experiences.

About You

You have:

· 12+ years of experience designing, building, and operating scalable, cloud-native applications, data pipelines, and analytics platforms in high-availability environments

· 3+ years of experience developing modern front-end applications using TypeScript and React, with a strong focus on analytics dashboards and data-driven interfaces

· Strong hands-on experience with backend technologies such as Node.js (preferably with TypeScript) and Python, building APIs, event-driven services, and data processing components that power real-time and near–real-time analytics

· Experience designing and maintaining reliable, scalable data ingestion, transformation, and orchestration pipelines to support operational and analytical workloads

· Expertise in developing responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS

· Experience implementing role-based access control (RBAC) and secure access patterns to ensure proper data governance and protection of sensitive information

· Experience with asynchronous programming, event-driven architectures, and telemetry/event-streaming patterns

· Hands-on experience with real-time data monitoring and analytics platforms such as Grafana and InfluxDB

· Strong experience with cloud-based data stores and query engines such as Amazon Redshift, Athena, DynamoDB, and S3-based data lakes, including performance optimization and trend analysis.

· Deep expertise in data modeling and transformation within AWS, leveraging services such as Glue, Redshift, Athena, EMR, Lambda, and S3 to build scalable, performant, and reliable analytical data foundations

· Experience implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions within analytics platforms, including integrating predictive models, anomaly detection, trend analysis, or intelligent insights into production systems

· Familiarity with ML lifecycle practices, model deployment, monitoring, and operationalization using platforms such as SageMaker Studio, Amazon Quick Suite or similar environments

· Deep knowledge of AWS services including Lambda, SNS, SQS, S3, Step Functions, IAM, KMS, and CloudWatch

· Experience provisioning and managing cloud infrastructure using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, and AWS CLI