About Us
Quillbot was founded in 2017 with a mission to help students and professionals strengthen their writing. Today, we help over 56 million people around the world create great things. Whether you're writing, designing, coding, or collaborating, Quillbot is a place where anyone can create at the speed of thought. Our AI-powered tools help you think clearly, communicate effectively, and create beautifully—across every platform, in any format, at any skill level. If you're passionate about using technology to make the path from inspiration to execution more accessible, intentional, and relevant, come join us.
Role Overview
We are seeking a motivated DevOps Engineer II to join our growing Platform SRE team. In this role, you will support the design, deployment, and maintenance of our multiregion, multicloud infrastructure, with a primary focus on Google Cloud Platform (GCP). You’ll work closely with senior DevOps engineers and developers to ensure high availability, scalability, and reliability across distributed systems. As a DevOps Engineer II, you’ll help design, deploy, and optimize infrastructure to support ML training, inference, and data-intensive pipelines. This is an excellent opportunity for someone early in their career who is eager to deepen their expertise in Kubernetes, GitLab CI, ArgoCD, and cloud automation while gaining exposure to complex global infrastructure.
Responsibilities
- Assist in managing multiregion and multicloud infrastructure, ensuring resiliency, scalability, and performance.
- Support infrastructure provisioning and deployments primarily on GCP, while gaining exposure to other cloud providers.
- Design, deploy, and maintain agentic AI workflows and automation systems, integrating LLMs, orchestration frameworks, APIs, and observability tooling to improve operational efficiency, incident response, and developer productivity.
- Collaborate with development teams to design and maintain CI/CD pipelines in GitLab CI.
- Work on Kubernetes cluster management (GKE and potentially other managed K8s offerings).
- Contribute to GitOps-based deployments using ArgoCD.
- Help automate infrastructure with Terraform and other infrastructure-as-code tools.
- Monitor system health and participate in the on-call rotation, contributing to incident response, troubleshooting, and root cause analysis to improve reliability.
- Document processes, create runbooks, and help improve operational practices.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent practical experience).
- 4-6 years of hands-on experience in DevOps, SRE, or related roles
- Solid foundation in Linux/Unix administration and basic networking.
- Hands-on experience with public cloud services (Compute Engine, GKE, Cloud Storage, IAM, VPC etc).
- Understanding of Kubernetes concepts
- Familiarity with CI/CD concepts and ArgoCD for GitOps workflows.
- Interest or exposure to multicloud and multiregion architectures.
- Strong analytical, troubleshooting, and problem-solving skills.
- Scripting experience with Python, Bash, or Go.
- Knowledge of infrastructure-as-code (Terraform, Ansible, or CloudFormation).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK, or GCP Cloud Monitoring/Logging).
- Understanding of distributed systems design and global traffic management.
- Awareness of security and compliance best practices in a cloud-native environment.
What We Offer
- A collaborative environment with mentorship opportunities.
- Exposure to large-scale, multiregion, and multicloud infrastructure challenges.
- Hands-on experience with modern DevOps tooling and cloud-native technologies.
- Competitive compensation and benefits.
- A structured growth path to advance into mid-level and senior DevOps engineering roles.
Benefits & Perks
- Competitive salary and annual bonus
- Medical coverage
- Life and accidental insurance
- Vacation & leaves of absence (menstrual, flexible, special, and more!)
- Developmental opportunities through education & developmental reimbursements & professional workshops
- Maternity & parental leave
- Hybrid & remote model with flexible working hours
- On-site & remote company events throughout the year
- Tech & WFH stipends & new hire allowances
- Employee referral program
- Premium access to Quillbot
*Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process.
This role is eligible for hire in India.
We are a virtual-first company with employees across the United States, Canada, India, Germany, and the Netherlands. Our compensation approach is market-based and varies by location while ensuring fairness, consistency, and transparency.
The base pay for this role is determined by several factors, including:
- Relevant professional experience
- Skills and expertise
- Scope and responsibilities of the role
- Internal equity considerations
In addition to base salary, total compensation may include bonus, equity, and benefits. Eligibility depends on role, level, and location.
We are committed to equal pay for equal work, and all compensation decisions are made using consistent, gender-neutral criteria in alignment with pay transparency requirements.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience!
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Equal Employment Opportunity Statement (EEO)
We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.
When you apply for a role with Learneo your personal data is treated in accordance with our Candidate Privacy Notice or our EU / UK Candidate Privacy Notice as applicable.
