Juniper Square - Technical Lead
Requirements
• Bachelor's degree in Computer Science or equivalent work experience • 7 to 10 years of experience building, integration, security, and architecture. • Previous experience of building enterprise-grade API will be a plus. • Previous experience of leading a team will be a plus. • Expertise in object-oriented programming (OOP) with Python as the primary language, • Experience with front end technologies like React, CSS frameworks, HTML and Javascript • Experience with Relational Databases like Postgres, MySQL • Experience with SQL database schema design and query optimization • Experience with Cloud technologies (AWS preferred) and Container technologies (Docker and k8s) • Experience with GraphQL and Apollo Server is a plus but not required • You must be flexible and adaptable—you will be operating in a fast-paced startup environment. • Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases introduced by AI-assisted development • Experience building and shipping production-grade software using AI-assisted workflows across the full SDLC • Hands-on experience developing or integrating LLM-powered systems (e.g., agents, copilots, tool-using workflows, or multi-step reasoning systems) • Familiarity with patterns such as tool-calling agents, planning/execution loops, and retrieval-augmented generation (RAG) • Demonstrated ability to leverage modern AI tools to improve development velocity, code quality, and problem-solving • Experience contributing to AI-powered features (e.g., intelligent search, conversational interfaces, recommendations, automation) • Working knowledge of LLMs, embeddings, semantic search, and RAG pipelines • Ability to identify and evaluate opportunities to integrate AI capabilities into products and workflows. • At Juniper Square, we believe building a diverse workforce and an inclusive culture makes us a better company. If you think this job sounds like a fit, we encourage you to apply even if you don’t meet all the qualifications.
Responsibilities
• 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 & 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 optimise 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. • 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 & 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 & 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.
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