MID-LEVEL FULL STACK ENGINEER / AWS CLOUD-NATIVE ANALYTICS PLATFORM

Job Summary

We are seeking a Full Stack Engineer to support the design, development, and reliability of enterprise analytics platforms that power mission-critical exam operations. This role will contribute to building scalable cloud-native applications, real-time telemetry pipelines, APIs, and high-performance reporting systems that provide trusted operational insights during peak exam delivery.

The ideal candidate is a mid-level engineer with strong hands-on experience across AWS serverless architecture, backend services, data platforms, and modern front-end development. This role requires someone who can work across the full stack—from data ingestion and transformation through secure service layers to intuitive dashboard experiences—while maintaining a strong focus on scalability, reliability, automation, and observability.

Required Qualifications

• 3 years of experience designing, building, and supporting scalable cloud-native applications, data pipelines, or analytics platforms.
• 1 years of experience building modern front-end applications using React.js and TypeScript.
• Strong hands-on development experience with Python, JavaScript (ES6), TypeScript, Node.js, and React.js.
• Experience with AWS serverless and distributed cloud infrastructure.
• Strong experience with AWS Lambda, DynamoDB, S3, SNS, SQS, Step Functions, Glue, EMR, EC2, ECS, VPC, IAM, and CloudWatch.
• Experience building APIs, backend services, and data processing systems.
• Experience with data ingestion, transformation, orchestration, and reporting pipelines.
• Strong understanding of microservices, asynchronous programming, and event-driven architectures.
• Experience building responsive, secure, and high-performance front-end applications.
• Experience with Playwright or similar automated testing frameworks.
• Strong analytical thinking, problem-solving ability, and communication skills.
• Ability to work EST business hours.

Preferred Qualifications

• Experience with Amazon Redshift, Athena, Apache Iceberg, Lake Formation, InfluxDB, and SageMaker Studio.
• Familiarity with Grafana, observability practices, telemetry, and platform monitoring.
• Experience with Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI.
• Exposure to Backstage, LaunchDarkly, GitHub Actions, or modern CI/CD tooling.
• Familiarity with machine learning lifecycle concepts and AI-enabled solutions.
• Experience with stream processing or complex event processing frameworks such as Apache Flink.

Why TalentBurst?

At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.

Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.

We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.

TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.