Full Job Description
Lead Full Stack Developer (React, Java/Node/Go/python, AWS)
Primary Skills
• AngularJS, JavaScript, CSS3, React JS, CI/CD Pipeline, Java, Hibernate, Oracle RDBMS, Kafka, Docker, Spring Core, Spring Boot, HTML5, Kubernetes, MySQL
Job requirements
• Role: Lead Full Stack Developer (React, TypeScript, Go/ Java/Python/Node.js, AWS)
• Years of Experience: 8+ years
• Location: Hybrid 3 days for these locations (Madison, NJ | Manhattan, NY | Boston, MA | Aventura, FL | Seattle, WA)
As a consultant within the DE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value.
Job Description:
We are seeking a highly skilled, hands-on Lead Full Stack Developer to drive the design, development, and delivery of scalable, cloud-native applications aligned to the Golden Path engineering stack. This role requires strong technical depth across modern frontend engineering, backend services, distributed systems, AWS/GCP cloud platforms, DevOps, observability, automated testing, and AI-assisted engineering practices.
The ideal candidate will lead by example, mentor engineers, influence architecture decisions, and own end-to-end delivery of business-critical solutions while ensuring high standards for scalability, reliability, security, performance, maintainability, and operational excellence.
Key Responsibilities
• Lead the architecture, design, and delivery of enterprise-grade full-stack applications across frontend, backend, cloud, and data layers.
• Build scalable, reusable frontend experiences (ReactJS, TypeScript, JavaScript, hooks) and robust backend APIs/microservices (Go, Java, Python, Node.js), integrated via REST, gRPC, Thrift, and event-driven patterns.
• Architect cloud-native solutions on AWS with containerized platforms, CI/CD pipelines, infrastructure automation, and monitoring.
• Own features end to end - from design through deployment, production support, and continuous improvement.
• Lead technical design discussions, architecture reviews, and code reviews; drive engineering excellence in testing, security, observability, and performance.
• Implement comprehensive testing strategies (unit, integration, API, Cypress-based UI regression) and troubleshoot complex production issues.
• Mentor junior and mid-level engineers, and collaborate closely with product managers, architects, designers, and business stakeholders.
• Communicate technical decisions, risks, and trade-offs clearly across technical and non-technical stakeholders.
Required Skills & Experience
Technical Experience
• Bachelor's degree in Computer Science, Software Engineering, or equivalent, with 8+ years of full-stack software engineering experience.
• Deep expertise in ReactJS, TypeScript, JavaScript (hooks, functional components), building scalable, high-performance UIs.
• Strong backend development in Go, Java, Python, or Node.js - APIs, microservices, and distributed systems (REST, gRPC, Thrift; Koa).
• Solid grounding in system design, distributed systems, scalability, resiliency, and performance optimization.
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, Aurora, RDS, MongoDB, DynamoDB, Redis).
• Strong AWS experience (ECS, Lambda, API Gateway, S3, CloudWatch, and similar), plus Docker, Kubernetes, Terraform, and CI/CD (CircleCI).
• Experience with comprehensive testing (unit, integration, API, UI - Jest/Cypress) and observability/monitoring (Datadog, CloudWatch).
• Strong understanding of networking and security fundamentals (DNS, authentication, encryption, secure API design).
• Familiarity with AI-assisted engineering tools (Gemini, Claude Code, GitHub Copilot) and Agile/Scrum delivery.
Professional Skills
• Proven ability to independently own and deliver complex technical initiatives with minimal supervision.
• Strong analytical, problem-solving, and debugging skills with the ability to break down complex technical challenges.
• Excellent communication, collaboration, and stakeholder management skills across distributed engineering, product, and architecture teams.
• Ability to balance engineering excellence with business priorities, delivery commitments, and customer outcomes.
• Strong mentoring mindset with the ability to guide engineers, raise technical standards, and foster a culture of accountability and continuous learning.
Leadership & Communication
• Lead technical initiatives by influencing architecture decisions, defining implementation approaches, and guiding teams through delivery execution.
• Partner effectively with cross-functional stakeholders to clarify requirements, manage dependencies, communicate risks, and align delivery with business outcomes.
• Provide technical mentorship, design guidance, and constructive code review feedback to strengthen team capability and engineering quality.
• Operate effectively in distributed Agile teams with strong ownership of sprint commitments, release quality, and production readiness.
Nice to Have Skills
• Experience with event-driven architecture and messaging platforms such as Kafka, AWS EventBridge, SQS, or similar technologies.
• Hands-on exposure to workflow orchestration and data processing platforms such as Databricks, Airflow, Temporal, or equivalent tools.
• Experience with Elasticsearch or other high-scale search, analytics, indexing, and data retrieval platforms.
• Experience contributing to enterprise design systems, shared UI component libraries, or large-scale frontend codebases.
• Familiarity with monorepo development environments and build systems such as Bazel.
• Infrastructure-as-Code experience using Terraform, AWS CDK, CloudFormation, or similar automation tools.
• Exposure to high-scale SaaS, marketplace, PropTech, real estate technology, or customer-facing digital product platforms.
• Experience working with geographically distributed engineering teams and cross-functional stakeholders.
$110,000 - $120,000 a year
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.