Senior CloudOps Engineer

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way– it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.

• We Seek A Better Way
  :
  We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care
• We Make It Happen
  :
  We act with urgency, commit to quality, and bring fun to our hard work
• We Are Stronger Together
  :
  We collaborate openly, seek to understand, and celebrate our wins
• We Care Deeply
  :
  We embrace our differences, do the right thing, and encourage each other

We are seeking a hands‑on Senior Cloud Ops Engineer to execute our cloud operations strategy. In this critical role, you will lead the technical implementation for our AWS Cloud Ops strategy, driving the adoption of modern operational practices across the organization. You will be responsible for architecting and implementing highly automated, reliable, and cost‑efficient systems that support our production services, R&D initiatives, and corporate functions.

The ideal candidate is a seasoned engineer with a deep passion for automation, a strategic mindset for system design, and proven experience mentoring and leading technical projects.

This position is a hybrid role based out of our San Diego or South San Francisco office. We are open to remote for the ideal candidate.

Responsibilities:

• Technical Leadership:
  Work with Cloud Ops leadership to craft the roadmap for cloud operations, setting technical standards and best practices. Mentor and guide other engineers on the team, fostering a culture of operational excellence and continuous improvement.
• Infrastructure as Code (IaC):
  Lead the design and implementation of key Cloud Ops requirements and initiatives. Develop solutions using imperative interfaces such as the AWS Cloud Development Kit (CDK) or Pulumi.
• Continuous Delivery (CD):
  Architect, build, and maintain robust CI/CD pipelines to automate application and infrastructure deployments, ensuring fast, safe, and reliable releases.
• Automation & Scalability:
  Drive automation initiatives across the organization, developing scripts (Python, Bash, etc.) and tooling to eliminate manual tasks, improve system scalability, and streamline operational workflows.
• Reliability & Observability:
  Implement and manage sophisticated monitoring, logging, and observability platforms (e.g., Amazon Cloud Watch, Sumo Logic, Prometheus, Grafana) and lead the strategy for incident response and post‑mortems.
• Cloud Financial Management (Fin Ops):
  Champion our cloud cost optimization efforts. You will lead the analysis of AWS spend, implement governance policies, and engineer solutions to maximize cost‑efficiency without compromising performance.

• 8+ years of experience in Cloud Ops, SRE, or Dev Ops, with a proven history of technical leadership and project ownership.
• Expertise in Infrastructure as Code (AWS CDK, Pulumi, TF CDK) and designing complex CI/CD pipelines (AWS Code Pipeline, Git Lab CI, Jenkins).
• Expert‑level Python scripting skills and deep knowledge of managing large‑scale AWS Organizations using services like Control Tower, IAM Identity Center, VPC, and EC2.
• Experience with regulatory compliance frameworks, particularly in healthcare (HIPAA, CLIA, FDA).
• Strong skills in observability, Fin Ops (cloud cost optimization), cloud networking, and security.

For Remote US candidates, the salary range is $134,000 - $149,000
.

For candidates based in our San Diego office
, the salary range is $136,000 - $149,000
.

For candidates based in our South San Francisco office
, the salary range is $162,000 - $175,000
.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry,…