Sr. Site Reliability Engineer-Remote USA

Compensation: $130,000-$155,000 per year. You are eligible to a Short-Term Incentive Plan with the target at 7.5% of your annual earnings, terms and conditions apply.   Sr. Site Reliability Engineer-Remote, USA     We are seeking an experienced Senior Site Reliability Engineer to lead our observability initiative using Datadog, creating a unified monitoring and alerting strategy across our technology stack. This role will focus on implementing SRE best practices, reducing operational toil, and ensuring system reliability through proactive monitoring and incident prevention. This role requires a combination of deep technical expertise in observability and monitoring, along with the ability to drive organizational changes in reliability practices. The ideal candidate will have a proven track record of implementing successful SRE practices and a passion for building reliable systems at scale.   Essential Functions

• Design and implement a comprehensive observability strategy using Datadog to provide a single pane of glass across development, operations, infrastructure, data, and database workloads
• Develop and maintain sophisticated alerting frameworks that minimize alert fatigue while ensuring critical issues are detected early
• Create and optimize SLIs, SLOs, and error budgets across services
• Implement automated remediation workflows for common failure scenarios
• Work with development teams to implement proper instrumentation, logging, and monitoring best practices
• Lead incident response, postmortem analyses, and implement systematic improvements
• Design and maintain dashboards that provide actionable insights for different stakeholder groups
• Automate toil reduction through infrastructure as code and monitoring as code practices
• Other duties as assigned 

Qualifications

• 5+ years of hands-on SRE experience in largescale production environments
• Deep expertise with Datadog, including APM, Infrastructure Monitoring, Log Management, and Synthetic Monitoring
• Strong experience writing and optimizing monitoring as code using Terraform or similar tools
• Proficiency in at least one programming language (Python, Go, or Java preferred)
• Experience with modern observability practices including distributed tracing, metric aggregation, and log correlation
• Strong understanding of reliability engineering principles including SLIs, SLOs, error budgets, and toil reduction
• Experience with cloud platforms (AWS, Azure, or GCP) and containerized environments
• Knowledge of database systems and their monitoring requirements
• Understanding of network protocols and ability to troubleshoot network related issues

  Preferred

• Master's degree
• Experience with chaos engineering practices
• Knowledge of machine learning for anomaly detection
• Experience with high throughput, low latency systems
  

About Us:

Ambry Genetics Corporation is a CAP-accredited and CLIA-licensed molecular genetics laboratory based in Aliso Viejo, California. We are a genetics-based healthcare company that is dedicated to open scientific exchange so we can work together to understand and treat all human disease faster.

At Ambry, everyone is welcome. A career at Ambry Genetics is a chance to be part of a dynamic company that aims to improve health by understanding the relationships between genetics and human disease. We earned our reputation as industry leaders by responsibly introducing cutting-edge genetic testing solutions and continually sharing what we learn with the global scientific community.

At Ambry you will be learning, challenging yourself, and having fun while collaborating with teammates through the open exchange of ideas.  Our outstanding benefits program includes medical, dental, vision, 401k with a 4% employer match, FSA, paid sick leave and generous paid time off (PTO) program. You can learn more about the benefits here. Ambry Genetics is an Equal Opportunity Employer (EOE) and we maintain a drug-free work environment.

The Company believes in second chance employment.  Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, con