Ideal Candidate Profile: Seeking a Full Stack Engineer, Data Analytics who will contribute to the design, development, and reliability of enterprise analytics platforms that support mission-critical exam operations. Candidate will help build scalable data architectures, real-time telemetry pipelines, and high-performance reporting systems that operate reliably during peak exam delivery. Candidate bring strong cloud full-stack engineering experience, with hands-on skills across backend services, data platforms, APIs, and front-end analytics applications. Seeking a skilled engineer with experience in AWS event-driven serverless cloud environment; scripting using Python, JavaScript, and solid communication skills and naturally curious about technology and comfortable working on cloud-native solutions end to end—from data ingestion and transformation to secure service layers and intuitive dashboard experiences.
Job Duties & Responsibilities
Software Solutioning & Design (10%)
Develop a strong understanding of customer business processes and exam operations
Collaborate with Lead Engineers and Solution Architects to evaluate feature requests, provide effort estimates, and support sprint planning
Participate in peer code and design reviews to ensure quality and consistency
Design & Implementation (65%)
Contribute to the development and scalability of enterprise analytics platforms supporting mission-critical exam operations
Write code to implement, and maintain cloud-native data architectures, telemetry pipelines, APIs, and reporting systems
Build secure, scalable full-stack solutions across backend services, data platforms, and front-end analytics applications
Implement end-to-end solutions—from data ingestion and transformation to service layers and dashboards
Apply established architectural patterns, automation practices, and observability standards
Ensure systems meet requirements for scalability, data integrity, availability, and reliability
Integrate monitoring, telemetry, and operational readiness into system components
Develop and maintain automated end-to-end and UI testing frameworks using Playwright to ensure application quality and reliability.
Embed monitoring, telemetry, and operational readiness into all platform components
Technical Contribution & Engineering Excellence (15%)
Contribute to solving complex technical problems and improving system design
Support and collaborate with team members to promote best practices in development, testing, and system design
Continuously improve skills across cloud, data, full-stack technologies, and test automation frameworks
Communicate technical approaches, tradeoffs, and solutions clearly to team members and stakeholders
Promote best practices in secure system design, automation, performance optimization, and resilient engineering
Team Operations & Cross-Functional Collaboration (10%)
Partner with product, operations, and security teams to deliver aligned solutions
Support exam readiness through participation in testing, monitoring, and reliability efforts
Contribute to documentation, knowledge sharing, and continuous improvement initiatives
Collaborate with QA and engineering teams to integrate automated into CI/CD pipelines
Foster a culture of ownership, documentation, accountability, and continuous improvement
Required Skills & Experience
3+ years of experience designing, building, and supporting scalable, cloud-native applications, data pipelines, analytics platforms
1+ years of experience developing modern front-end applications using TypeScript and React.
Coding/scripting experience with Python, JavaScript, React.js, Node.js
Technical knowledge of Cloud Computing, DevOps, and Microservices
Strong knowledge and experience with distributed cloud infrastructure within AWS
Experience with Backstage, LaunchDarkly, GitHub Actions is a plus
Exceptional analytical, conceptual, and problem-solving abilities
Experience working with AWS resources such as Lambda, SNS, SQS, S3,
Step Functions, EC2, ECS, VPC, IAM, CloudWatch, DynamoDB
Excellent communication and collaboration skills with an ability to present ideas in business-friendly and user-friendly language
Ability to prioritize and execute tasks in a high-pressure environment
Strong hands-on experience with backend technologies such as Node.js (preferably TypeScript) and Python, building APIs and data processing systems
Experience working with data ingestion, transformation, and orchestration pipelines for analytical and operational workloads
Experience in building responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS
Familiarity with asynchronous programming and event-driven architectures
Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3
Familiarity with ML lifecycle concepts and tools
Experience using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI
Experience with real-time stream processing and Complex Event Processing (CEP) using Apache Flink or similar technologies is a plus
Experience with automated testing frameworks, specifically Playwright for end-to-end and UI testing
Strong focus on scalability, data integrity, reliability, and quality engineering practices
Good problem-solving, analytical thinking, and communication skills
Preferred Skills
Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similar
Experience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg and S3-based data lakes a plus
Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3
Understanding of data isolation, performance segmentation, and secure access in distributed systems
Familiarity with observability and operational strategies in distributed architectures
Experience integrating automated testing frameworks like Playwright into CI/CD pipelines
