Senior Technical Lead - Full Stack

Juniper Square; California; Ibrido; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Juniper Square is seeking a Senior Technical Lead to architect and oversee scalable web applications and distributed systems. You will drive backend work in Python (FastAPI) or Java and frontend work with ReactJS and TypeScript, ensuring robust, secure software across the stack.

You will guide engineering teams, set coding standards, and shape end‑to‑end delivery from design through deployment. Experience with AI‑driven features and cloud infrastructure is highly valued.

Competenze

• Bachelor’s or Master’s degree in computer science, engineering, or related field.
• 10–13 years of software engineering experience with 3+ years in technical leadership.
• Strong expertise in Python (FastAPI preferred) OR Java, ReactJS/TypeScript, REST & GraphQL APIs, async processing, AWS, Docker, Kubernetes.

Mansioni

• Architect and design full‑stack applications and distributed systems.
• Provide hands‑on technical guidance and mentor engineers.
• Define coding standards, ensure code quality, and perform reviews.
• Lead end‑to‑end delivery from architecture to deployment and maintenance.
• Collaborate with product/design teams to deliver scalable, secure solutions.

Conoscenze

Leadership

Frontend development

Backend architecture

Cloud & DevOps

Formazione

BS/MS in CS or related

Strumenti

Python

FastAPI

Java

ReactJS

TypeScript

REST API

GraphQL

AWS

Docker

Kubernetes

Descrizione del lavoro

We are seeking a highly skilled Full-stack Senior Technical Lead to architect, design, and oversee the development of scalable web applications and distributed systems. The ideal candidate brings strong backend expertise in Python (FastAPI preferred) or Java, combined with solid frontend development experience using ReactJS and TypeScript.

This role will lead the design and delivery of end-to-end systems, from user-facing applications to backend services and cloud infrastructure. You will guide engineering teams, drive architectural decisions, and ensure best practices across the full software development lifecycle. Experience leveraging AI tools and building AI-driven solutions will be a significant advantage, especially for developing intelligent features, automation, and data-driven capabilities within products.

The core responsibilities for the job include the following:

Technical Leadership:

• Lead the architecture and design of full-stack applications, including frontend interfaces, backend services, and cloud infrastructure.
• Provide hands‑on technical guidance to engineering teams and mentor developers across frontend and backend domains.
• Define coding standards, enforce code quality, and conduct thorough code reviews.
• Drive end‑to‑end delivery, from architecture and development to deployment and maintenance.

Backend Engineering and API Development:

• Architect and build backend services using Python/FastAPI (preferred) or Java (Spring Boot/Quarkus).
• Design and implement scalable RESTful and GraphQL APIs with a strong focus on performance, security, and maintainability.
• Build asynchronous processing pipelines and microservices using tools like Celery, RabbitMQ, Redis, or similar message brokers.
• Design efficient database schemas and queries using PostgreSQL, MySQL, or NoSQL databases.
• Implement caching strategies and optimize backend services for high throughput and reliability.

Frontend Development:

• Develop modern web applications using ReactJS and TypeScript.
• Design reusable UI components and scalable frontend architecture.
• Implement state management, API integrations, and responsive user interfaces.
• Collaborate closely with design and product teams to deliver intuitive user experiences.
• Ensure frontend applications maintain high standards of performance, accessibility, and maintainability.

Cloud and DevOps:

• Deploy, manage, and optimize applications on AWS (EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, IAM, etc. ).
• Implement CI/CD pipelines, automated testing, and environment provisioning.
• Use Docker and Kubernetes for containerization and microservice orchestration.
• Ensure system observability through logging, monitoring, and distributed tracing.

Architecture and System Design:

• Lead discussions on scalability, distributed architecture, caching strategies, and event‑driven patterns.
• Design full‑stack solutions that balance performance, reliability, and user experience.
• Drive adoption of cloud‑native architectures and modern engineering practices.
• Ensure adherence to security best practices and compliance standards.

AI and Intelligent Systems (Advantage):

• Leverage modern AI tools and frameworks to enhance developer productivity and product capabilities.
• Contribute to or lead the development of AI‑powered features, such as intelligent search, conversational interfaces, recommendation systems, or automation tools.
• Work with technologies such as LLMs, embeddings, semantic search, and RAG pipelines where relevant.
• Evaluate opportunities to integrate AI‑driven capabilities into existing products and workflows.

Requirements:

• Bachelor's or master's degree in computer science, engineering, or a related field.
• 10-13 years of software engineering experience, with at least 3+ years in a technical leadership role.
• Strong expertise in Python (FastAPI preferred) OR Java, ReactJS and TypeScript, REST and GraphQL API development, asynchronous processing (Celery or similar), AWS cloud services, Docker, Kubernetes, and containerization.
• Solid understanding of microservices architectures, distributed systems design, SQL and NoSQL databases, CI/CD pipelines, monitoring, and observability frameworks.

Nice to Have:

• Experience building AI‑driven applications or integrating AI capabilities into products.
• Experience with event‑driven systems such as Kafka, SNS/SQS.
• Exposure to Domain‑Driven Design (DDD) and clean architecture principles.
• Knowledge of Infrastructure as Code (Terraform or CloudFormation).
• Experience with performance tuning, load testing, and AWS cost optimization.

Soft Skills:

• Strong leadership, mentoring, and stakeholder management abilities.
• Excellent communication and documentation skills.
• Analytical mindset with strong problem‑solving capabilities.
• Ability to operate effectively in a fast‑paced, agile environment.