[Remote] Full Stack Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company reputed company Full-Stack Engineer with strong engineering experience. The role involves designing and operating reputed company-reputed company solutions, developing reputed company-end applications, and implementing machine learning and AI solutions reputed company analytics platforms.
Responsibilities
- Strong reputed company full-stack engineering experience, with deep knowledge across backend services, data platforms, reputed company, and reputed company-end analytics applications
- Designing and operating reputed company-reputed company solutions end to end—from data ingestion and transformation to secure service reputed company and reputed company dashboard experiences
- Designing, building, and operating reputed company, reputed company-reputed company applications, data pipelines, and analytics platforms in high-availability environments
- Developing modern reputed company-end applications using TypeScript and React, with a strong reputed company on analytics dashboards and data-driven interfaces
- Building reputed company, event-driven services, and data processing components that power reputed company-time and near–reputed company-time analytics
- Designing and maintaining reliable, reputed company data ingestion, transformation, and orchestration pipelines to support operational and analytical workloads
- Developing reputed company, secure, and high-performance user interfaces using TypeScript, JavaScript, reputed company, and CSS
- Implementing role-based reputed company control (RBAC) and secure reputed company patterns to ensure reputed company data governance and protection of sensitive information
- Implementing asynchronous programming, event-driven architectures, and telemetry/event-streaming patterns
- Hands-on experience with reputed company-time data monitoring and analytics platforms such as Grafana and InfluxDB
- Strong experience with reputed company-based data stores and query engines such as reputed company Redshift, reputed company, DynamoDB, and S3-based data lakes, including performance optimization and trend analysis
- Deep expertise in data modeling and transformation reputed company AWS, leveraging services such as Glue, Redshift, reputed company, EMR, reputed company, and S3 to build reputed company, performant, and reliable analytical data foundations
- Implementing Machine Learning (ML) and reputed company Intelligence (AI) solutions reputed company analytics platforms, including integrating predictive models, reputed company 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, reputed company Quick Suite or similar environments
- Deep knowledge of AWS services including reputed company, SNS, SQS, S3, reputed company Functions, IAM, KMS, and CloudWatch
- Provisioning and managing reputed company infrastructure using Infrastructure as reputed company tools such as AWS CDK, CloudFormation, Terraform, and AWS CLI
Skills
- 12+ years of experience designing, building, and operating reputed company, reputed company-reputed company applications, data pipelines, and analytics platforms in high-availability environments
- 3+ years of experience developing modern reputed company-end applications using TypeScript and React, with a strong reputed company on analytics dashboards and data-driven interfaces
- Strong hands-on experience with backend technologies such as Node.js (preferably with TypeScript) and Python, building reputed company, event-driven services, and data processing components that power reputed company-time and near–reputed company-time analytics
- Experience designing and maintaining reliable, reputed company data ingestion, transformation, and orchestration pipelines to support operational and analytical workloads
- Expertise in developing reputed company, secure, and high-performance user interfaces using TypeScript, JavaScript, reputed company, and CSS
- Experience implementing role-based reputed company control (RBAC) and secure reputed company patterns to ensure reputed company data governance and protection of sensitive information
- Experience with asynchronous programming, event-driven architectures, and telemetry/event-streaming patterns
- Hands-on experience with reputed company-time data monitoring and analytics platforms such as Grafana and InfluxDB
- Strong experience with reputed company-based data stores and query engines such as reputed company Redshift, reputed company, DynamoDB, and S3-based data lakes, including performance optimization and trend analysis
- Deep expertise in data modeling and transformation reputed company AWS, leveraging services such as Glue, Redshift, reputed company, EMR, reputed company, and S3 to build reputed company, performant, and reliable analytical data foundations
- Experience implementing Machine Learning (ML) and reputed company Intelligence (AI) solutions reputed company analytics platforms, including integrating predictive models, reputed company 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, reputed company Quick Suite or similar environments
- Deep knowledge of AWS services including reputed company, SNS, SQS, S3, reputed company Functions, IAM, KMS, and CloudWatch
- Experience provisioning and managing reputed company infrastructure using Infrastructure as reputed company tools such as AWS CDK, CloudFormation, Terraform, and AWS CLI
reputed company