GetVocal AI

Full-stack Engineer

• Own the product roadmap with Product, providing technical context, feasibility, sequencing and engineering trade-offs
• Own features from problem definition through production, including technical specifications, planning, resource allocation, implementation, testing, release and post-release monitoring
• Take technical ownership of the product area, managing architecture, code quality, security, reliability, scalability and technical debt
• Write meaningful amounts of production code
• Build and evolve backend services and product capabilities using Python as a core part of the stack
• Break complex product requirements into clear technical plans for engineers and AI coding agents
• Own the release lifecycle, including CI/CD, release readiness, deployment and rollback strategies
• Improve development velocity and reduce time from agreed idea to production
• Monitor production behaviour and improve uptime, error rates, latency, incident frequency and product reliability
• Lead technical investigations into incidents and turn findings into engineering improvements
• Use AI coding tools for implementation, testing, debugging, refactoring, documentation and technical exploration
• Review AI-generated and human-written code with equal engineering scrutiny
• Coordinate engineers across internal and offshore teams, including hiring, onboarding and technical development where required
• Give Product and Engineering leadership visibility into progress, risks, trade-offs, incidents and delivery commitments
• Raise engineering standards through pragmatic technical leadership
• Deliver quarterly product commitments, improve production reliability, and reduce lead time to production

Product Engineer Manager