Senior Software Engineer
- Compensation
- Not disclosed
- Location
- NSW, Australia, Australia
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Design and ship features end-to-end across React/TypeScript and Ruby on Rails or Python — from problem definition through architecture, implementation, testing, and release. You own the outcome, not j
- Use Claude Code, Cursor, and similar agentic tools as a genuine development partner — structuring problems for AI execution, validating output, and building the shared AI workflows that make the whole
- Own system design, data modelling, security, and technical debt — the trade-off calls that shape long-term platform health.
- Set and hold a high bar for code quality, including AI-generated code — reviewing for correctness, security, performance, and long-term maintainability, not just whether it runs.
- Own the reliability and scalability of what you ship — better observability, cleaner architecture, fewer production incidents over time.
- Work closely with your Tech Lead, Product Manager, and Design across every initiative — bringing technical depth and a clear point of view on what to build and how.
- Help the engineers around you raise their AI game — share what works (tools, prompting approaches, workflows) and make the whole team faster, not just yourself.
Full description
Nexl is looking for a Senior Software Engineer to help build our AI-driven CRM and growth intelligence platform. You'll be technically rigorous and highly autonomous, with a high bar for what you ship and a strong point of view on how to build it.
You'll work within a cross-functional squad, partnering closely with your Tech Lead, Product Manager, and shared Designer. AI tools such as Claude Code and Cursor are core to how the team builds, and you're expected to use them to ship faster and at higher quality. Deep fundamentals still matter just as much: architecture, debugging, security, system thinking because those are what let you direct AI effectively and catch where it gets things wrong.
This is a high-ownership role for someone who thrives working autonomously and wants to help shape how a fast-growing LegalTech company builds. You'll be equally comfortable discussing architecture trade-offs, code quality, and the impact your work has on the product and the customer.
Responsibilities
Must haves:
- Deep expertise in full-stack software architecture, system design, data modelling, debugging, and security — these fundamentals are non-negotiable.
- Strong proficiency in React + TypeScript and strong proficiency in Ruby on Rails or Python.
- You use Claude Code, Cursor, or equivalent agentic tools as your primary development workflow, and can point to meaningfully higher output velocity as a result.
- Ability to critically assess AI-generated code for correctness, security, performance, and long-term maintainability. You know when to push back, refactor, or start over — and you do.
- Solid understanding of database design and optimisation (PostgreSQL, MongoDB) including indexing, query optimisation, and data modelling.
- Ability to take ownership, operate with minimal direction, and drive outcomes end-to-end, with a bias toward impact over activity.
Nice to haves:
- Experience with GraphQL, gRPC, or real-time communication protocols (WebSockets).
- Experience in multi-tenant, data-heavy SaaS applications.
- Familiarity with Marketing Tech, CRM-like systems, or workflow automation products.
- Knowledge of DevOps practices, Infrastructure as Code, or cloud infrastructure (AWS or Azure).
- Experience in LegalTech or Professional Services tech.
- Experience designing or orchestrating multi-agent systems — decomposing work across autonomous agents and managing inter-agent communication.
What Success Looks Like:
- You ship features at significantly higher velocity than traditional engineering workflows, and the quality and reliability of what you ship is high.
- AI agents and workflows you build are adopted by the squad, multiplying the team’s collective output.