Fullstack Software Engineer (San Francisco)
ZendeskAbout the role
Job Description
Full-Stack Software Engineer – Support Suite Engineering
Zendesk is hiring a Full-Stack Software Engineer to join our Support Suite Engineering team. In this role, you will work on both backend services and frontend features, helping deliver robust, scalable, and user-friendly systems across Zendesk’s support products.
This is a hybrid role. Candidates must reside within a commutable distance of our office in San Francisco, CA
What You’ll Be Doing
Design, implement, and maintain backend services and APIs that power Zendesk’s Support Suite products.
Contribute to frontend development using React, TypeScript, and GraphQL to build user-facing features.
Collaborate with engineers across teams to integrate shared platform components.
Ensure systems are scalable, maintainable, secure, and observable.
Write clean, testable, maintainable code and participate in code reviews.
What You Bring to the Role
3+ years of experience in full-stack software development.
Strong proficiency with Ruby or similar backend languages (e.g., Python, Java, Node.js).
Experience with frontend technologies such as React, TypeScript, and GraphQL.
Experience designing and implementing RESTful APIs and integrating with backend services.
Ability to work cross-functionally and translate product requirements into technical solutions.
Strong collaboration and communication skills.
Experience with RDBMS systems such as MySQL or Aurora.
Preferred Qualifications
Experience building enterprise SaaS products.
Familiarity with observability and monitoring tools like DataDog.
Exposure to cloud platforms (AWS), Kubernetes, and CI/CD pipelines.
Tech Stack
Backend: Ruby on Rails, MySQL/Aurora
Frontend: JavaScript, TypeScript, React, GraphQL
DevOps & Monitoring: DataDog, Kubernetes, CI/CD
Cloud: AWS
Why Zendesk
Work on a high-impact, collaborative full-stack engineering team.
Build scalable, reliable full-stack systems that power enterprise support products.
Flexible hybrid work model with strong work-life balance.
Learn from and grow with experienced engineers in a supportive environment.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
The US annualized base salary range for this position is $110,000.00-$166,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications
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