Full Stack Engineer, External Data Analytics

LanceSoft, Inc. is seeking a Full Stack Engineer for their External Data Analytics Team. The role involves designing, developing, and ensuring the reliability of enterprise analytics platforms that support critical exam operations, focusing on building scalable data architectures and real-time telemetry pipelines.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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
• 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
• Experience with Backstage, LaunchDarkly, GitHub Actions is a plus