• Build and ship full stack applications in React and Next.js deployed on Vercel • Architect new customer-facing dashboard • Write complex SQL across rich CX and marketing data streams • Build ETL pipelines that land clean data in Snowflake • Wire LLM capabilities into product surfaces • Build and extend dashboards directly and web experiences

• Own and improve internal applications that support property/listing workflows, approvals, knowledge management, AI-assisted tooling, reporting, administration, and related platform capabilities • Build and maintain TypeScript/Node.js backends, API layers, and server-rendered applications using patterns such as NestJS/Fastify, Next.js, Astro/SvelteKit, and AWS Lambda • Contribute to our Next.js/Turborepo platform, including shared React UI, auth helpers, schemas, reference data, test tooling, deployment scripts, and developer experience • Work across AWS and data infrastructure including Lambda, API Gateway-style APIs, Amplify, AppSync, DynamoDB, S3, SSM, EventBridge, CloudWatch, ECS/Fargate, PostgreSQL, Drizzle, and Dynamoose • Maintain integrations with authentication services, listings APIs, knowledge base APIs, email workflows, analytics, search, Google Places, and AWS Bedrock-backed AI features • Help reduce single-person knowledge risk by documenting, simplifying, improving CI/CD/testing, and partnering with product and engineering leadership on pragmatic technical decisions

• Technical Leadership: Act as the primary technical authority with client teams, leading the platform and architecture activities while assessing the current ecosystem. • Architecture Definition: Own the target architecture and define technical standards for the assessment and project delivery. • Quality and Governance: Lead refinement of the technical backlog, perform code reviews, and ensure high-quality data engineering. • Mentorship: Guide and mentor the development squad, promote best practices, and drive the team’s technical growth.

Role Description We are seeking a Software Engineer, early in their career, to join our product engineering team. This is a hands-on role where you'll build real features in our SaaS platform from day one. We move fast, wear multiple hats, and figure things out as we go — the kind of environment where people who take initiative and pick things up quickly tend to do their best work. You'll get exposure to NodeJS, ReactJS, Java, relational databases, or cloud technologies, and plenty of room to grow across the stack. Comfort using AI-powered programming tools (e.g., Claude, GitHub Copilot, or similar) is expected, as they're part of how our team works day to day. Key Responsibilities - Build and maintain features in Collabrix's SaaS product suite using technologies such as NodeJS, ReactJS, Java, relational databases, and cloud platforms. - Use AI-assisted development tools (Claude, Copilot, etc.) to support coding, testing, and documentation. - Write clean, testable code and take an active role in code reviews. - Work closely with product managers, designers, and fellow engineers to turn requirements into working software, often with a fair amount of ambiguity to navigate. - Take part in system design discussions and contribute your perspective as you build your understanding of scalable systems. - Support deployment and monitoring of applications in cloud environments. - Troubleshoot production issues and take ownership of getting them resolved. - Document your work and contribute to the team's knowledge-sharing practices. Qualifications - 0–2 years of professional experience in software engineering (internships and academic/personal projects count). - Some hands-on exposure to one or more of the following: - Backend: NodeJS, Java - Frontend: ReactJS - Databases: relational databases such as MySQL, PostgreSQL, or Oracle - Cloud: AWS, Azure, or GCP - Willingness to work with and learn AI-based programming assistants (Claude, Copilot, etc.) as part of daily work. - A foundational understanding of software engineering principles, built through coursework, projects, or hands-on tinkering. - Education: Degree in Computer Science, Engineering, or a related field. Requirements - A curious, hands-on engineer who's eager to learn. - Strong problem-solving instincts and a willingness to ask questions. - Ability to pick up new technologies quickly and work across the stack over time. - Collaborative, communicative, and committed to quality. - Genuine interest in using AI tools to grow as a modern software engineer. Work Schedule To support our global customers with agility and excellence, we follow a six-day work model on alternate weeks. Employees are expected to work on the 1st, 3rd, and 5th Saturdays of each month. Benefits - Work on SaaS products that digitally transform life sciences supply chains and manufacturing. - Learn from experienced engineers while contributing to a global-scale product company. - High visibility and real ownership, even early in your career. - Collaborative, remote-first culture with room to grow and experiment.