Site Reliability Engineer, Core Systems Development

Site Reliability Engineer, Core Systems Development

We're looking for an experienced Site Reliability Engineer to be a systems developer who engineers the software, tools, and automation required to scale our platform for the next generation of AI features. This is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.

In This Role, You Will:

Develop, test, and implement high-volume connection management and auto-scaling logic (in Go) for our Kubernetes clusters. Introduce and maintain self-healing and auto-remediation capabilities into core service layers to maintain 99.95% availability under peak load. Architect and implement tooling and automation that measurably improves our Mean Time To Resolution (MTTR). Optimize our CI/CD toolchain (GitHub Actions, CircleCI, ArgoCD) by writing and hardening deployment controllers and safety checks. Design and deploy instrumentation within Datadog for high-volume monitoring. Utilize deep-dive investigations and platforms like Jeli to drive architectural improvements that measurably reduce operational toil. Act as a senior subject matter expert, partnering directly with Product Engineering teams to review designs, define SLOs, and ensure new services are inherently resilient and operable before production deployment. Conduct advanced performance analysis and capacity planning for our transactional and analytical databases (Spanner, PlanetScale, BigQuery), optimizing query execution and eliminating hot-spotting.

What You Bring To The Table:

Proven history of architectural ownership and driving reliability initiatives within complex, distributed production environments as an SRE, DevOps, or Infrastructure Engineering role. Proficiency in Go and/or Python, with a proven history of developing and deploying production-grade automation and control plane components for infrastructure teams. You must be experienced and comfortable providing hands-on operational support for critical, high-volume legacy codebases (like a PHP/HHVM/Hack monolith) while driving modernization efforts. Deep operational and architectural knowledge of Kubernetes (GKE) and the complexities of service mesh (Istio) networking in a high-volume environment. Expert experience with CI/CD systems (GitHub Actions, CircleCI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform). Mastery of high-volume monitoring and observability stacks like Datadog, and a proven ability to perform deep-dive root cause analysis under production load using systems like Jeli. Solid understanding of Linux systems, networking, and the challenges of large-scale distributed cloud architectures on GCP (AWS or equivalent).

Compensation, Benefits & Perks:

Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $110,000 - $230,000, depending on location and experience, as well as company stock options. Collaborate with your manager and team to create a healthy work-life balance. 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice). Employer-sponsored 401(k) plan with company match. Access to LinkedIn Learning and other resources to support professional growth. Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits. 40 hours of annual paid time off to participate in volunteer programs of choice.

Why Join Quizlet? Massive reach: 60M+ users, 1B+ interactions per week. Cutting-edge tech: Generative AI, adaptive learning, cognitive science. Strong momentum: Top-tier investors, sustainable business, real traction. Mission-first: Work that makes a difference in people's lives. Inclusive culture: Committed to equity, diversity, and belonging. We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! At Quizlet, we're excited about passionate people joining our team—even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.