Software Development👥 201 employees📍 San Francisco, California, USEst. 2020
Jasper is the purpose-built generative AI platform for marketing. Built on a foundation of enterprise trust, Jasper deeply understands marketing, delivering advanced brand control and an intuitive AI…
Job Overview
Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.
About The Role
We're looking for an experienced DevOps Engineer to join our Platform team. This is a highly autonomous, high-impact role that blends Ops practices, infrastructure engineering, and delivery pipeline optimization. You'll work with a focused, collaborative, and fast-moving team where your contributions will directly impact system reliability, developer velocity, and our ability to safely deliver AI-powered products at scale. Candidates should also have a solid background in Cloud, IaC, and Kubernetes, and a drive to produce excellent solutions for a variety of challenges. This fully remote role reports to the Staff Dev Ops Engineer and is open to candidates located anywhere in the continental US.
What You'll Do
Design, implement, and operate cloud-native infrastructure that scales efficiently, fails gracefully, and optimizes for performance and cost.
Build and refine software delivery pipelines to enable safe, fast, and frequent deployments with robust testing, rollback, and progressive release mechanisms.
Develop infrastructure-as-code solutions using Terraform and Helm to create self-healing, automated, and observable systems.
Collaborate with ML and product teams to support AI model training and inference through scalable compute and storage infrastructure.
Identify and eliminate single points of failure, performance bottlenecks, and scalability limits through proactive monitoring and reliability engineering practices.
Implement and enforce security best practices, including secrets management, access control, and compliance across all infrastructure layers.
What You'll Bring
Deep experience running Kubernetes in production (cluster management, networking, storage, security).
Expertise with Terraform, Helm, and configuration management to build reproducible, version-controlled infrastructure.
Proven success designing and maintaining CI/CD pipelines (GitHub Actions, Argo CD, Jenkins, etc.) balancing speed and safety.
Strong background in observability (especially Datadog) — skilled at instrumentation, dashboard creation, and intelligent alerting.
Solid scripting skills in Python, Go, or Bash, with a focus on automation and operational efficiency.
Practical knowledge of Google Cloud Platform and cloud-native architectures.
Experience supporting multi-language environments (TypeScript, Python, Go) and AI/ML workloads, including GPU-based compute.
Familiarity with container security, secrets management, and policy enforcement.
(Bonus) History of open source contributions in infrastructure, CI/CD, or observability projects.
Compensation & Benefits
Compensation Range: The expected base salary range offered for this role is $170,000 - $200,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.
Benefits & Perks:
Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families
401(k) program with up to 2% company matching
Equity grant participation
Flexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from work
FlexWellness program ($1,800 annually) to help support your personal health and wellness