Full Stack Software EngineerExpiring Today!

• Solution Design & Ownership: Independently design and implement scalable, production-ready applications; front-end, back-end APIs, and data storage, etc…
• Technology Stack: Apply expert-level knowledge across modern JavaScript frameworks (React, Vue, Angular), microservices, cloud platforms (like GCP, AWS, OCI, or Azure), and performance-optimised databases.
• Quality & DevOps Champion: Establish best practices for clean code, comprehensive testing (unit, integration, E2E), security, and CI/CD, driving an always-shippable product.
• Customer-Centric Solutioning: Translate complex business requirements into simple, intuitive software experiences that clearly solve the problem.
• Strategic Reusability: Architect with modularity and componentisation in mind, building frameworks and patterns that can be rapidly tailored for new clients across sectors.
• Advanced Prototyping: Lead research and prototyping of complex features; real-time data integration, highly interactive UIs.
• AI-Accelerated Engineering: Use AI coding tools (e.g., Claude Code) to move faster; generating boilerplate, debugging, writing tests, and documentation while staying deliberate about where human review and judgment must take over.
• Cross-Functional Partnership: Collaborate closely with product, UX/UI, and business stakeholders to ensure successful technical definition and delivery of end-to-end solutions.
• Knowledge Sharing: Document technical designs, share best practices, and raise the engineering quality bar across the engineering team.

Qualifications & Experience:

• Cloud & DevOps Mastery: Significant hands-on experience architecting and deploying on a major cloud platform (like GCP, AWS, OCI, or Azure), with proven CI/CD, monitoring, and containerisation (Docker) expertise.
• Data & Infrastructure: Hands-on expertise with relational and/or NoSQL databases; familiarity with serverless functions, application gateways, and networking. Infrastructure-as-Code (IaC); for example Terraform, experience is a plus.
• Data Engineering Skills: Experience with data pipelines, ETL/ELT processes, or working with large-scale/streaming data.
• AI Tooling & Workflows: Practical experience building AI-powered features (e.g., using the Claude API or similar), not just using AI as a coding assistant. Including prompt design, tool use, function calling, and evaluating model outputs in production.
• Experience across multiple cloud platforms (GCP, AWS, Azure, OCI).
• Experience contributing to reusable internal frameworks or libraries deployed across multiple clients.
• 1 Year: Drive measurable improvements in delivery speed and quality through reusable patterns, AI-accelerated workflows, etc.

Skills & Competencies:

• Full-Stack Acumen: Expert-level proficiency in a modern front-end framework (React/ReactNative) and a back-end environment (Node.js/Express, Java Spring Boot, Python, etc.).
• End-to-End Delivery: A track record of taking applications from concept through to live production, with an unwavering focus on reliability and performance.
• Problem-Solving & Communication
• Ownership & Ambiguity: Proven ability to take highly ambiguous business problems and translate them into well-defined, delivered technical solutions.
• Communication: Exceptional ability to explain complex architectural decisions to both technical and non-technical audiences.
• Team Player: Transparent and communicative, anticipating roadblocks and prioritising the team’s success over individual credit.
• Continuous Learning: A strong bias for fast, self-directed learning and staying current with new frameworks and best practices.
• Nice-to-Haves
• First 90 Days: Get up to speed on our stack and delivery model, ship your first production grade feature or integration for a client.
• 6 Months: Become a trusted technical anchor on your project team, contributing to architecture decisions and code review with confidence.