About Berny

Berny is a Melbourne-founded product company building AI-powered products for a wide range of customers. We pair deep domain expertise with the best AI tools available to solve problems conventional software can't, and we use AI as a force multiplier across our own engineering as much as we build it into the products themselves.

We're now scaling our Clark engineering function, and you'd be one of the people we're betting on to make that work.

Our values: Harmonize · Innovate · Lead.

Job Summary

We are looking for a hands-on Tech Lead with a strong background in SaaS platforms and mobile application development, who will own the technical direction of one of our product teams (Team Loopym or Team Knightriders) within Berny OS. This role owns the overall health of the codebase, drives engineering excellence, and ensures high standards in quality, security, and performance. You will lead by example,writing code, guiding architecture, and mentoring engineers, while integrating modern tooling, including AI/automation agents, to improve development velocity and product reliability. You can articulate why each agile practice exists, when it's the right tool, and when it isn't, we hire judgment, not certifications.

Our tech leads are a healthy blend of eternal idealism and pragmatism, who have a track record of making good judgement decisions based on data.

• HMO Eligibilty

• HMO Maximmum Benefit Limit

• HMO Dependents MBL

• 13th Month Pay Eligibiliy

• Overtime Eligibility

• Holiday Premiums Eligibility

• Night Differential Eligibility

1. Codebase Ownership

•         Take full ownership of the architecture, structure, and maintainability of the codebase

•         Enforce coding standards, code reviews, and best practices

•         Drive refactoring and technical debt management

2. Architecture & Technical Leadership

•         Design scalable, resilient architectures for SaaS platforms and mobile apps (iOS/Android)

•         Make key technical decisions on frameworks, APIs, and infrastructure

•         Ensure systems are designed for scalability, reliability, and extensibility

•         Think about software, organization, and product as one system

3. AI/Automation Agents & Tooling

•         Implement and manage AI-driven or automated engineering agents (e.g., for code generation, testing, monitoring)

•         Evaluate and integrate tools that improve developer productivity and software quality

•         Establish guardrails for safe and effective use of automation/AI in development workflows

•         Run evals on agent output so we can tell when an agent-owned workflow is regressing

4. Quality Engineering

•         Champion a quality-first mindset across teams

•         Implement robust testing strategies (unit, integration, end-to-end, automated testing)

•         Ensure CI/CD pipelines enforce quality gates before deployment

5. Security & Compliance

•         Embed security best practices in development (secure coding, vulnerability management, data protection)

•         Conduct code audits and ensure compliance with relevant standards (e.g., OWASP)

•         Collaborate with DevOps on secure infrastructure and deployment

6. Performance & Scalability

•         Optimize system performance across backend, frontend, and mobile platforms

•         Monitor application performance and resolve bottlenecks

•         Ensure systems can scale efficiently with user growth

7. Team Leadership & Mentorship

•         Lead and mentor engineers through technical guidance and coaching

•         Conduct code reviews and provide constructive feedback

•         Foster a culture of ownership, accountability, and continuous improvement

8. Cross-Functional Collaboration

•         Work closely with Product Managers, Designers, and DevOps teams

•         Translate product requirements into technical solutions

•         Align engineering efforts with business goals and timelines

•         Partner with the other Tech Lead and the Engineering Manager on shared Agent Platform decisions, we don't want N divergent stacks across product teams

•         Leverage data and dashboards to drive continuous improvement decisions based on evidence rather than blind adherence to a process.

•         Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

•         6–10+ years of software development experience, including leadership responsibilities

•         Proven experience in SaaS platforms and mobile application development

•         Strong experience with modern frameworks, APIs, and cloud-based architectures

•         Experience scaling systems in high-growth SaaS environments

•         Background in observability tools (e.g., logging, monitoring, tracing systems)

•         You've shipped non-trivial software across at least two different production stacks, our stack today will not be our stack in 2 years

•         You've used AI coding agents, skills in an orchestrated agentic ecosystem on production code and can describe what they're good at, what they're not, and how you measured their output, and guardrails you can place to protect quality.