Senior Full Stack Engineer
About the role
The ideal candidate will lead the technical aspects of a critical platform capability, driving architecture decisions and delivering full stack features.
Responsibilities
Lead design, development, and delivery of full stack features across frontend and backend layers
Build responsive, accessible UI components using modern frameworks (React, Next.js)
Develop and maintain RESTful APIs and microservices using Node.js / NestJS
Collaborate with UX/UI designers to implement pixel-perfect, user-centric interfaces
Drive code reviews, enforce engineering standards, and contribute to technical documentation
Architect and develop embedded analytics dashboards using AWS QuickSight
Design and build analytics-specific data models — including aggregated views, calculated fields, and purpose-built schemas — to unlock deeper business insights beyond operational data structures
Manage QuickSight datasets, analyses, and SPICE capacity for optimal performance
Integrate QuickSight with data sources such as Amazon RDS, Redshift, Athena, and S3
Automate report generation and snapshot workflows via the QuickSight API
Work closely with BAs and product owners to translate requirements into technical specs
Contribute to sprint planning, estimation, and agile ceremonies
Mentor junior engineers and promote best practices across the team
Requirements
5+ years of experience with React.js and modern JavaScript/TypeScript
Proficiency with Next.js, component libraries (shadcn/ui, MUI etc ), and CSS frameworks
Strong understanding of state management, accessibility, and performance optimization
5+ years of experience building server-side applications with Node.js or similar backend frameworks
Hands-on experience with NestJS or Express.js for REST API development
Deep expertise with PostgreSQL — including schema design, query optimization, indexing strategies, and migrations
Proficiency with a TypeScript-based ORM such as TypeORM or Prisma, including entity modeling and relation management
Experience with authentication/authorization patterns (JWT, OAuth 2.0, HMAC, API keys)
3+ years of hands-on AWS experience across core services (EC2, RDS, S3, Lambda, IAM, Cognito)
Demonstrated experience with AWS QuickSight — including embedded analytics, datasets, and RLS
Familiarity with Terraform for infrastructure management
Demonstrated ability to lead technical initiatives, make architecture decisions, and mentor other engineers
Experience working in Agile/Scrum teams with tools like Jira / Confluence / Bitbucket
Strong written and verbal communication skills; ability to work with non-technical stakeholders
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Qualifications
Advanced Next.js experience including App Router, server components, Next.js middleware, route handlers, and API layer patterns for multi-tenant SaaS applications
Experience optimizing Next.js application performance — code splitting, lazy loading, and edge rendering strategies
Deep understanding of Node.js runtime internals
Experience building high-throughput, production-grade Node.js services with robust error handling and observability
Familiarity with Node.js package ecosystems and best practices for dependency management and security hardening
Hands-on NestJS experience including modular architecture, dependency injection, guards, interceptors, and pipes
Experience building multi-tenant NestJS backends with role-based access control (RBAC)
Familiarity with NestJS microservices patterns and integration with messaging systems (SQS, RabbitMQ)
Advanced PostgreSQL skills including window functions, CTEs, materialized views, partitioning, and JSONB operations
Experience designing multi-tenant database schemas with row-level security (RLS) and tenant-scoped indexing strategies
Proficiency with PostgreSQL performance tuning — query planning (EXPLAIN ANALYZE), index optimization, and connection pooling
Hands-on experience with Prisma for entity modeling, migrations, and relation management in TypeScript projects
Proven experience embedding QuickSight dashboards in multi-tenant SaaS applications using namespace isolation and RLS
Ability to design and build analytics-specific data models — including aggregated datasets, calculated fields, and SPICE-optimized schemas
Experience integrating QuickSight with diverse AWS data sources including RDS, Redshift, Athena, and S3-backed data lakes
Familiarity with QuickSight API automation for programmatic dashboard creation, snapshot scheduling, and user provisioning
Understanding of QuickSight ML Insights features such as anomaly detection, forecasting, and narrative auto-generation
Experience with multi-tenant SaaS architecture and tenant isolation patterns
Prior experience in telecommunications, short code, or regulated industry platforms
Skills
Leadership and mentoring skills
Technical problem-solving and decision-making
Agile methodologies and Scrum practices
Cloud-native technologies (AWS, Kubernetes, Docker)
Data modeling and analysis
Performance optimization and monitoring
Version control and CI/CD pipelines
API design and security
Database design and optimization
DevOps practices and tooling
UX/UI design principles
Business intelligence and analytics
Benefits
Medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance.
Pay
$145k-$180k per year
Schedule
N/A