Senior DevOps Engineer

POS-31286

Our mission at HubSpot is to help millions of organizations grow better. On the Marketing Web Team, you’ll play a critical role in ensuring the systems behind HubSpot’s digital experiences are reliable, scalable, and built to grow with our customers. This is a highly visible team responsible for delivering innovative web platforms and applications that power HubSpot’s global brand and are experienced by millions every day.

As a Senior DevOps Engineer, you’ll design and operate the infrastructure that supports high-traffic, data-intensive marketing platforms and systems. You’ll partner closely with developers and marketers to improve delivery velocity while upholding strong standards for security, performance, and operational excellence. Together, we’re on a mission to build the best web experience in the world, and the reliability of our platforms is foundational to that goal.

• Design, build, and maintain scalable, secure, and reliable cloud infrastructure to support high-traffic, business-critical digital applications.
• Proactively improve system reliability, availability, and performance through automation, observability, and continuous optimization.
• Collaborate cross-functionally with Web Development, QA, and Product teams to align infrastructure decisions with business and delivery goals.
• Lead incident response, root cause analysis, and post-incident reviews, ensuring learnings are translated into systemic improvements.
• Build and maintain CI/CD pipelines that reduce friction and increase deployment confidence.
• Establish and evolve infrastructure-as-code standards to ensure consistency, scalability, and long-term maintainability.
• Identify opportunities to incorporate AI-assisted tooling into DevOps workflows and partner with leadership to measure its impact on reliability, delivery velocity, and cost efficiency.
• Drive security, resiliency, and cost-awareness across environments.
• Own medium-to-large infrastructure initiatives from design through production, including documentation and long-term support.
• Contribute to sprint planning and backlog refinement within an Agile environment, ensuring work is prioritized and delivered effectively.
• Contribute to roadmap planning by identifying infrastructure investments that improve reliability, scalability, and developer velocity.
• Evaluate technical trade-offs and clearly communicate risks, impact, and recommendations to stakeholders.
• Develop and maintain runbooks, architectural diagrams, and system documentation to support operational excellence.
• Mentor engineers by sharing best practices in DevOps and cloud architecture

Required Qualifications

• 5+ years of experience in DevOps, platform engineering, or infrastructure-focused software engineering roles.
• Significant experience operating production systems in at least one major public cloud environment (AWS, Azure, or GCP).
• Practical experience with infrastructure as code and configuration management (e.g., Terraform, CloudFormation, Ansible, Chef).
• Hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitHub Actions, or similar platforms.
• Experience working with CDN, DNS, and edge security platforms (e.g., Cloudflare).
• Solid understanding of Linux systems, networking, and distributed systems.
• Hands-on experience with containers and orchestration tools (e.g., Docker, Kubernetes).
• Ability to troubleshoot complex system issues and drive them to resolution.
• Ability to prioritize competing initiatives and manage work with minimal oversight.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.

Nice-to-Have Qualifications

• Experience supporting large-scale, customer-facing SaaS platforms.
• Experience operating highly distributed, scalable systems in production environments.
• Exposure to observability tooling such as Prometheus, Grafana, or OpenTelemetry.
• Familiarity with web technologies such as TypeScript, JavaScript, and Node.js.
• Experience leveraging AI-assisted engineering or operations tools to improve productivity or system reliability.
• Experience with security best practices in cloud environments.
• Exposure to cost optimization strategies in high-growth systems.
• Prior experience mentoring or leading technical initiatives.