Duolingo
Platform Engineer II
Edtech.com's Summary
- Build and operate Kubernetes-based compute platform components across multiple regions and cloud providers.
- Improve delivery pipelines using GitOps and deployment best practices for safer and faster rollouts.
- Define service level objectives (SLOs), create dashboards and alerts, and participate in on-call incident response.
- Develop reusable platform abstractions to enable self-service for product engineers.
- Experience with CI/CD tools such as Jenkins, Argo CD, or GitHub Actions, and infrastructure management tools like Terraform or CloudFormation required.
- Strong understanding of distributed systems, networking, failure modes, and caching/storage concepts.
- Functional Linux system administration and automation skills essential.
- Exceptional candidates have a Bachelor’s degree in Computer Science or related fields and experience managing production infrastructure on AWS, Google Cloud, Alibaba Cloud, or Azure.
- Knowledge of multi-cluster/multi-region architectures and service mesh/zero-trust networking patterns (e.g., Istio) is a plus.
- Salary range offered is $153,000 to $207,000 USD, excluding equity and benefits.
Platform Engineer II Full Description
Our mission at Duolingo is to develop the best education in the world and make it universally available. Itâs a big mission, and thatâs where you come in!
At Duolingo, youâll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. Youâll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes â while doing work thatâs both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
As a Platform Engineer on the Compute team, youâll improve how engineers build and run services, helping ensure our compute platform is reliable at scale for our learners and fellow Duo engineers.
The Compute team builds and operates the core compute platform that powers our applications. We build paved roads (self-service platform primitives, templates, and tooling) and we operate them so product engineers can focus on shipping features with confidence.
ð§ You will...
- Build and operate core compute primitives that power production workloads based on Kubernetes, across different regions and cloud providers.
- Improve the delivery pipeline from commit to production by evolving our GitOps and deployment patterns, making rollouts safer and faster.
- Raise the operational bar: define SLOs, build dashboards/alerts, write runbooks, and participate in on-call/incident response to keep the platform dependable.
- Enable effective self-service by turning platform capabilities into reusable abstractions.
â You have...
- Strong problem-solving skills and experience delivering and shipping pragmatic solutions in production environments.
- Experience with distributed systems fundamentals (networking, service-to-service communication, failure modes, caching/storage concepts).
- Experience working on production systems (through industry roles, internships, or substantial open-source work).
- Experience with one or more CI/CD tools (Jenkins, Argo CD, GitHub Actions) and infrastructure management tools (Terraform, CloudFormation)
- Clear written and verbal communication skillsâcomfortable writing docs/runbooks and collaborating across teams.
- Functional knowledge of Linux system administration and automation
â Exceptional candidates will have...
- A Bachelorâs degree in Computer Science, related technical field, or equivalent practical experience
- Experience managing a production infrastructure on AWS, Google Cloud, Alibaba Cloud, or Azure.
- Exposure to multi-cluster or multi-region architectures and the operational patterns that make them reliable.
- Experience with service mesh / zero-trust networking patterns (e.g., Istio mTLS, traffic management, authorization policies).
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
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