Software Engineer (Future Hiring)

Impact You Will Make in the Role (Key Responsibilities):

Agentic Development Systems

Work from executable specifications — write clear SDD/BDD specs and acceptance criteria as the primary input for AI-assisted code generation, and keep them current as implementation evolves

Use agentic coding tools (Claude Code, Cursor, Copilot, or equivalents) as standard equipment across the full SDLC, from spec to implementation to test generation to code review

Apply critical judgment to AI-generated code and agentic attestations before merge — assess correctness, edge cases, security implications, and alignment with the spec; your review is a real gate, not a formality

Contribute to the team's agentic development practices: spec standards, attestation norms, and how the team uses AI tools responsibly

Feature Delivery

Design, implement, and ship features and components that are reliable, maintainable, and built to perform in high volume, high-availability SaaS environments

Ensure agentic code is clean, well tested, and follows the standards that make it easy to understand and extend by both agentic systems and your teammates

Own your feature areas end-to-end, from understanding the requirement to production delivery, including identifying and resolving defects before they reach customers

Code Quality & Review

Review outputs, including AI-generated code and agentic attestations, with the care and rigor the team depends on; catch what automation misses

Orchestrate unit and integration test development that verifies real behaviour, not just execution paths; apply the same critical eye to test quality as to production code

Contribute to the team's technical standards and raise the bar on engineering operations excellence across all facets of our AI SDLC

Collaboration & Systems Thinking

Work closely with product managers, designers, and QA engineers to understand requirements and build the right thing, not just the specified thing

Think beyond your immediate feature: understand the systems your code interacts with, the data it produces, and the downstream effects of your design decisions

Communicate clearly in writing in specs, in code reviews, in async updatesto keep cross-functional and globally distributed teams aligned

Participate in agile and team ceremonies, including Sprint Review, Program Reviews, and other technical presentations

What You Will Bring (Qualifications/Experience):

2–5 years of experience developing enterprise or SaaS software in production environments

Personal fluency with agentic coding tools (Claude Code, Cursor, Copilot, or equivalents) you use these in your daily work and real delivery scenarios, not as an experiment

Hands-on experience with BDD/SDD frameworks and working from executable specifications as the primary input to development, this is how we work, not a practice you're learning on the job

Proficiency in at least one object-oriented or modern SaaS language; comfort picking up new languages and frameworks as the work demands

Experience with RESTful API design and consumption

Working knowledge of SQL and NoSQL data stores

Experience producing and maintaining automated test suites (unit, integration, or end-to-end)

Experience working in Agile delivery environments with CI/CD pipelines

Strong written communication skills; able to write clear specs, meaningful code review feedback, and async updates for a global team

Preferred Qualifications/Experience:

Experience with cloud platforms (AWS or equivalent) and microservices architectures

Familiarity with containerization, infrastructure-as-code, or observability tooling

Experience developing or integrating with AI/ML features in a production SaaS product

Background in B2B SaaS, CRM, or revenue technology