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Senior Quality Engineer

SafetyCulture -
Sydney NSW

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Job Details

Permanent | Full-time
3 days ago

Benefits

Onsite gym
Parental leave
Employee assistance program

Qualifications

CI/CD
Computer Science
Engineering
Slack
Test automation
Performance testing
Microservices
Bachelor's degree
APIs
Agile
AI
Communication skills

Full Job Description

Why join us?

We’re a global tech company, just not the kind you’re picturing.

Sure, we’ve got catered lunches, team events, cool merch, and yes... dogs in the office. But that’s not why people join.

Our team of nearly a thousand people wakes up every day to make our product and our customers’ lives better. At SafetyCulture, you’ll hear “yes, let’s give it a shot” more often than “that’s not how we do things here.”

People join because we’re building tools that make work better for the 3 billion people who keep the world moving - factory floor operators, baggage handlers, truck drivers, servers, store assistants. The ones who make things happen. We’ve got the scale and innovation you’d expect from big tech. The difference? No endless layers of sign-off. No corporate theatre. Just smart, experienced people solving real problems fast .

The scale is big. But the ownership’s personal. Every full-time team member gets equity - real skin in the game. When we grow, you do too. We’re not perfect, no company is. But this next chapter of our growth is about scaling with intelligence, not just size - fueled by operational maturity, a clear vision, and a strong focus on AI.

This is big tech impact, without the big tech ick. If that excites you more than it scares you, you’ll fit right in.

At SafetyCulture, we help businesses get better every day by giving front-line teams tools to capture issues, learn, and act — across web, mobile, and an evolving ecosystem of sensors, integrations, and AI-powered capabilities.

Quality Engineering is central to that mission. Our Quality Engineers enable teams to ship high-quality software fast and with confidence, by embedding quality into every phase of delivery and using automation and AI to make quality scalable across our platform.

The role

As a Senior Quality Engineer, you are an enabler and multiplier for product and engineering teams:

You help teams own the quality of their deliverables (self-serve quality) while ensuring we maintain a consistently high bar across the platform.
You use data, automation, and AI tooling to surface risks, reduce toil, and improve the reliability and performance of our products.
You work across the lifecycle — from discovery and design to deployment and production — to make sure quality is designed in, not tested on at the end.

You’ll be part of the central Quality Engineering team working across our engineering groups, collaborating with engineers, product managers, designers, and data/AI specialists.

How you can have an impact

In this role you will:

Raise the quality bar of our product by making quality expectations explicit, measurable, and aligned with group and business goals.
Shine a light on product quality by defining and maintaining metrics, dashboards, and scorecards that make quality visible and actionable for groups and leaders.
Improve efficiency through automation and AI by expanding automated testing, trialing AI-based testing tools, and removing manual, repetitive work from the delivery process.
Support building and testing at scale by contributing to load and performance testing in critical domains so we can confidently serve large, complex customers.
Strengthen a collaborative, knowledge-driven quality culture by sharing practices, mentoring others, and contributing to quality initiatives that benefit engineering as a whole.
Design quality capabilities (metrics, dashboards, automation, AI-assisted workflows) that scale across teams and reduce dependency on individual QE involvement over time.

How we approach quality

We use a combination of human judgment, automation, and AI to scale quality:

Human-led: Defining quality strategy, risk assessment, and decision-making in ambiguous or high-impact scenarios
AI-assisted: Using AI to accelerate test creation, analysis, triage, and insight generation
AI-driven: Automating repeatable quality signals, checks, and workflows to enable teams to increasingly self-serve quality

Our goal is to progressively evolve from manual and QE-led activities toward more automated and AI-enabled systems, with QE focusing on designing, enabling, and governing these systems while continuing to apply hands-on support where needed.

The teams

You’ll work with our QE team and cross-functional groups responsible for key parts of our SaaS platform — from inspections and actions, to training, analytics, integrations, and platform capabilities. Each group has:

An Engineering Manager, Product Manager, and Designer
Direct access to customers and support teams
Support from specialists in Quality Engineering and Platform

Quality Engineers are centrally aligned to the QE team and work with multiple product groups, enabling us to share learnings, reusable assets, and consistent practices across SafetyCulture.

What you’ll be doing

Enable groups to own and improve quality

Partner with product and engineering to understand our current quality practices and maturity and co-create an improvement roadmap grounded in data.
Help define our quality strategy that align with industry best-practice, business goals, and quality goals and priorities.
Help identify gaps, risks, and opportunities for improvement in our approach to quality.

Embed quality early in the lifecycle

Contribute to test strategies and plans that cover unit, integration, API, UI/e2e tests, observability, and production validation.
Help design and maintain automated tests (API, integration, and critical end-to-end flows) that run in CI/CD and provide fast, reliable feedback.
Work with engineers teams to improve test reliability ensuring pipelines are trustworthy and fast.
Experiment with and adopt AI-enabled tools (e.g. for test generation, coverage analysis, bug triage, anomaly detection) where they demonstrably improve quality and efficiency.
Build reusable frameworks, dashboards, templates, and AI agents that make quality increasingly self-serve for product teams.

Drive automation, AI usage, and tooling

Proactively identify QE activities that should disappear into automation or agents over time, and track the reduction of manual effort as a measure of impact.

Make quality visible through metrics and feedback

Define and evolve quality metrics (e.g. CPRs, bug age and backlog, incident trends, crash rates, performance indicators) and connect them to team goals.
Build or extend dashboards and automated reports that provide timely, continuous feedback on product health to groups and stakeholders (e.g. Slack updates, Grafana dashboards, scorecards).
Use metrics and customer feedback to prioritise quality work (CPRs, bugs, tech debt, incident improvement actions) and drive remediation in the most impacted areas.
Ensure quality signals are consumable directly by engineering teams and leaders, enabling action without requiring QE interpretation or intervention in most cases.

Support building and testing at scale

Help define and validate performance limits and SLOs and ensure quality checks are integrated into delivery workflows.
Ensure quality practices support the needs of enterprise customers (scale, reliability, data integrity) and complex organisational setups.
Contribute to performance and load testing for critical workflows and services, in partnership with platform and product teams.

Grow a collaborative, learning-focused quality culture

Share knowledge through workshops, pairing, coaching, and documentation, helping engineers and product managers build confidence in quality practices and tools.
Lead QE working groups and cross-team initiatives to drive horizontal improvements (e.g. mobile parity, test device strategy, incident processes, API frameworks).
Contribute to the broader engineering community via internal talks, roadshows, newsletters, or external content, aligning with QE’s role as a thought leader in quality.

What you will need

You will be a great fit if you have:

Experience in software quality or engineering roles, with a focus on building and testing modern web, mobile applications and services.
Strong hands-on skills with test automation frameworks and tools, especially for APIs and end-to-end flows, and a solid understanding of good unit/integration testing practices.
Experience working with microservices, distributed systems, and cloud-hosted SaaS, including both manual and automated validation approaches.
Familiarity with or strong interest in using AI-powered tools to improve testing, triage, or quality analysis (even if you haven’t used them extensively yet).
Demonstrated ability to lead quality improvement initiatives end-to-end — from discovery and planning, through execution, stakeholder communication, and measuring outcomes.
Understanding of how testing and quality practices interact with CI/CD pipelines and modern delivery practices.
Strong communication, collaboration, and influencing skills — you can work effectively with engineers, engineering managers, product managers, designers, and stakeholders across groups.
A growth mindset and comfort working in a fast-paced, evolving environment where priorities can shift and learning is continuous.
Prior experience in Agile delivery environments and cross-functional product teams.

What Success Looks Like

Success in this role is demonstrated not only by improved quality outcomes, but by the extent to which teams can independently assess risk, quality, and readiness using systems and signals designed by QE.

Nice to have

Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
Experience with at least one modern programming language (e.g. Golang, JavaScript/TypeScript) and willingness to dig into code when needed.
Exposure to non-functional testing (load, performance, resilience, reliability) and observability practices.
Experience working with AI features or AI-assisted workflows (e.g. AI testing tools, anomaly detection, intelligent triage), and an interest in responsible and ethical AI practices.
Background in platform or infrastructure quality, particularly in high-scale, multi-tenant SaaS environments.
If you’re passionate about helping teams move fast with confidence, excited by the idea of using data, automation, and AI to improve quality, and want to shape how a mission-critical platform is built and operated, we’d love to hear from you.

More than a job

Equity with high growth potential, and a competitive salary
Flexible working arrangements
Access to professional and personal training and development opportunities
Hackathons, Workshops, Lunch & Learns
In-house Culinary Crew serving up daily breakfast, lunch and snacks
Barista coffee machine, craft beer on tap, boutique wines and a range of non-alcoholic beverages
Wellbeing initiatives such as subsidised fitness programs, EAP services and generous parental leave policy
Quarterly celebrations and team events
On-site gym, table tennis, board games, books library, and pet-friendly offices

We’re committed to building inclusive teams and cultivating a sense of belonging so our people can bring their whole authentic selves to work each day. We seek to make reasonable adjustments throughout our recruitment process to create an even playing field for all candidates. Thanks to the tireless efforts of the entire SafetyCulture team we’ve built an incredible culture which has seen us recognised as a Best Place to Work in Australia, the US and the UK .

Even if you don't meet every requirement listed in the ad, please consider applying for this role. We prioritise inclusion and value individuals with potential over a checklist of qualifications. Don't rule yourself out, hit that apply button if this job resonates with you.

You can find out more about life at SafetyCulture via Youtube, Twitter, Instagram and LinkedIn.

To all recruitment agencies, we do not accept resumes or partnership opportunities. Please do not forward resumes to SafetyCulture or any of our employees. We are not responsible for any fees associated with unsolicited resumes.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

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