Dovetail is the Customer Intelligence Platform for the entire organization. We unify fragmented feedback from every touchpoint, including sales calls, support tickets, and research, into a single AI-powered intelligence layer that empowers every team to build, sell, and serve with confidence. Founded in 2017, we are a team of 100+ across our offices in Sydney and San Francisco, working with thousands of teams from Fortune 500 companies to the world’s most innovative startups.
The best never guess. We help teams turn the noise of thousands of customer interactions into the signal required to move faster, prioritize better, and drive revenue.
We're looking for SRE and DevOps Engineers to join our platform engineering team. Over the next 18 months, we will invest significant effort in growing our platform engineering team and the operational excellence they will drive across the business. You’ll bring relevant SRE experience to help us accelerate it.
What you will do
Join our platform engineering team. You'll be a crucial part of our platform team, working closely with your engineering manager, technical product manager, and other engineers to evolve our internal systems and platforms.
Own the technologies that power our engineering. You'll be responsible for cross-cutting technologies that support all Dovetail engineers in delivering value to our customers. You’ll directly impact delivery performance, developer experience, reliability, and the end-to-end customer experience by delivering excellent internal products.
Support high-quality product infrastructure. Working with your team, you'll participate in the design and implementation of technical solutions for Dovetail’s platform, including infrastructure, application foundations, developer tooling, CI/CD, and observability.
Help mature our operational health. You’ll bring an SRE mindset to promote operational practices within our platform and product teams. Your hard work will support state-of-the-art reliability and performance for our rapidly growing customer base.
Support other engineers. We're scaling quickly, so you'll work with others to continually improve our software practices through code review, pair programming, design sparring, and career growth.
Foster a culture of pragmatism. You'll maintain and foster a pragmatic approach to software development while also collaborating towards establishing detailed guidelines and standards for product development processes based on industry best practices and your experience.
What you will bring
Experience in platform engineering. You'll have experience with technologies similar to TypeScript, GraphQL, Aurora PostgreSQL, AWS, containerization (EKS or ECS), serverless technologies, developer tooling, and infrastructure-as-code (Pulumi and Terraform). While you don’t need to be a master of our technology stack, you’re a fast learner and understand relevant concepts.
You’re a disciplined operator. You’re a strong owner, who’s used to owning the platform reliability, performance security for high growth platforms. You hold a high bar on ensuring that we keep our test and release, and operational hygiene in a good state, so everyone can sleep well.
Experience working on platform projects. You'll have the ability to play a significant role in the delivery of complex features, understand requirements, and drive quality.
You are pragmatic and flexible. Like your new teammates, you're used to doing what's necessary to get the job done. You'll need to be comfortable with ambiguity, operate with high independence, be resourceful in solving problems, and be able to adjust to shifting deadlines and project goals.
When you do it, you nail it. You share our keen eye for quality. You don't half-ass your work, instead what you ship is top-notch. You cut scope before cutting quality.
Excellent, concise communicator. You can easily convey your thoughts, opinions, and feelings with your platform team and have the ability to articulate effort vs impact tradeoffs.
You know how to build great software. 5 years+ of software engineering experience in software engineering, with a minimum of 3 years in SRE, DevOps or equivalent teams. You have a bachelor of computer science or equivalent industry experience, and possess strong knowledge of software engineering fundamentals and operational best practices.
We hire smart people and look after them well! Here's the deal:
📈 Equity for everyone. Competitive base salary plus options, so every builder is aligned on long-term impact.
🏢 A place to do your best work, wherever you are. Our Sydney office is built for in-person first collaboration. Our US team runs on a flexible remote setup. Either way, you've got what you need.
🤝 Built in connection. Join a Doveclub, bond with your team regularly, and celebrate the small wins, big milestones, and cultural moments with the whole company.
📚 Learn and thrive. Flexible L&D and wellness benefits, choose between a generous $3000 L&D allowance, or up to $1000 on wellness.
🌴 Time to recharge. Four weeks of accrued leave, floating public holidays, and gifted bonus Kit Kat days sprinkled throughout the year.
🌍 Four weeks from anywhere. Up to four weeks a year doing your job from anywhere in the world. Split it up or use it all at once.
🍼 Generous parental leave. We offer 20 weeks for primary caregivers, 12 weeks for secondary caregivers, plus return-to-work support.
🎉 Four weeks at four years. Four years is a long time in tech, and we value loyalty. Take an additional four weeks off to reset and recharge.
🩺 Stellar US benefits. Comprehensive health, dental, vision, 401(k), and more through Sequoia.
At Dovetail, we're building a place where every team member feels supported and valued. We celebrate individualism and want you to show up as your authentic self every day. It’s no secret that diversity builds the best teams, large or small, so we highly encourage applications from people who identify as part of an underrepresented group.
On AI: We expect candidates to already be embedding AI into their day-to-day work. We look for people who are thoughtful and pragmatic in how they use AI—knowing when to leverage it, how to direct it effectively, and how to apply it to improve the quality, speed, and impact of their work.
