Senior Site Reliability Engineer
Drata, San Francisco, CA, United States
Job Summary
Drata's SRE team operates as both a central engineering function and an embedded reliability practice. You'll be part of a close-knit SRE team where you grow your career, shape standards, and collaborate with peers—while also serving as the dedicated reliability partner for one of Drata's product engineering teams across the full lifecycle of their work.
This is a highly technical role at the intersection of software engineering and systems engineering. The best SREs at Drata are engineers first—they solve problems by building solutions, not by executing manual processes. Automation is a core value, and nowhere is that more visible than in how we approach reliability.
Our infrastructure runs on AWS across multiple accounts, defined entirely in Terraform. You'll work across a modern cloud‑native stack to help Drata scale reliably for a rapidly growing customer base.
Reliability Architecture for Your Product Team
You are the reliability expert for your aligned product team. You engage early—during architecture reviews and design discussions—to surface risks before they become incidents.
Lead Production Readiness Reviews (PRRs) before new services launch, with authority to flag gaps and gate launches when critical reliability standards aren't met.
Partner with product engineering leads and staff engineers to define SLOs and SLIs for critical services, turning reliability from a vague goal into a measurable commitment.
Participate in team planning and architecture reviews to provide proactive reliability guidance.
Build reusable artifacts—SLO templates, observability checklists, alerting standards, reference dashboards—to raise the reliability floor across the team, not just the services you touch directly.
Eliminating Toil Through Engineering
You handle operational needs from your product team, but your job isn't to be a help desk. Your goal is to make each request the last of its kind. When an engineer needs something, your priority is to automate it so anyone can do it, document it so the team can self‑serve, and execute it manually only as a last resort.
Build and maintain Datadog monitors, dashboards, and alert routing—enforcing infrastructure‑as‑code standards via Terraform so those resources are owned, versioned, and auditable.
Handle infrastructure requests: ECS task management, secret rotations, Terraform changes, capacity adjustments.
Identify repeated manual work and convert it into self‑service tooling or runbooks.
Audit existing services for reliability anti‑patterns and surface top risks before they cause incidents.
Central SRE Platform Work
Beyond your product team, you contribute to cross‑cutting infrastructure, tooling, and standards that benefit every team at Drata. Recent examples include automated Datadog governance workflows, dynamic AWS account provisioning, and disaster recovery exercises.
Design and build shared platform infrastructure—Reusable Terraform modules, standardized observability stacks, service templates—to compound reliability improvements across the organization.
Participate in the on‑call rotation and lead incident response when needed; conduct thorough post‑incident reviews to drive lasting fixes.
Design and manage CI/CD pipelines using GitHub Actions.
Contribute to evolving SRE standards, tooling, and practices across the organization.
What you’ll bring
6+ years of experience in Site Reliability Engineering, Cloud Engineering, or building and maintaining scalable, resilient services.
Robust knowledge of cloud computing technologies: Terraform, Docker, Git, and Linux.
Hands‑on experience with Datadog for monitoring, alerting, dashboards, SLO tracking, and distributed tracing.
Experience building software systems as a software engineer.
Experience developing tooling and automation in Python and/or Bash.
Experience with CI/CD pipeline automation, specifically GitHub Actions.
Experience with disaster recovery practices and incident management.
Strong understanding of observability concepts—monitoring, logging, distributed tracing, and metrics—and how to apply them to production systems.
Experience with container orchestration and deployment technologies including AWS ECS Fargate and/or Kubernetes.
Experience working with relational databases (MySQL proficiency is a plus).
Ability to take ownership of problems and act on them independently in a constantly evolving environment.
Nice to Have
Experience with AIOps—using AI/ML‑based tooling for anomaly detection, predictive alerting, or automated incident triage.
Familiarity with the reliability characteristics of AI/ML‑backed services (e.g., LLM inference latency, non‑determinism, prompt pipeline observability).
Experience with the JavaScript/Node.js ecosystem.
Certified Kubernetes Administrator (CKA) certification.
Familiarity with compliance frameworks like SOC 2, ISO 27001, or NIST.
AI Experience (required – at least one of the following)
Hands‑on experience using AI‑assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate automation, scripting, or infrastructure work.
Demonstrated use of AI/AIOps capabilities for reliability tasks—anomaly detection, incident triage, runbook generation, or alert noise reduction.
Familiarity with the operational characteristics of AI/ML‑backed services and what it means to make them observable and reliable in production.
Demonstrated passion for AI through personal projects, contributions, or continuous learning in the context of infrastructure or reliability engineering.
How we support you
We offer a comprehensive total rewards package designed to power well‑being, accelerate growth, and maintain work‑life balance.
Shared Success: Stock equity to give every employee ownership and a share in company growth.
Health & Wellness: Up to 100% employer‑paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services.
Financial Well‑being: 401(k) plan, company‑paid life and disability insurance, tax‑advantaged spending accounts, and discounted voluntary offerings.
Family Support: Paid parental leave policy after six months of employment; fertility and family‑building benefits and dedicated leave specialists.
Growth & Development: Annual stipends for professional and personal development, internal learning opportunities, and support to advance career.
Time Off & Flexibility: Flexible vacation policy, paid holidays, and other perks to recharge.
Compensation
This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for this role is: $166,900 - $225,900.
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Drata's SRE team operates as both a central engineering function and an embedded reliability practice. You'll be part of a close-knit SRE team where you grow your career, shape standards, and collaborate with peers—while also serving as the dedicated reliability partner for one of Drata's product engineering teams across the full lifecycle of their work.
This is a highly technical role at the intersection of software engineering and systems engineering. The best SREs at Drata are engineers first—they solve problems by building solutions, not by executing manual processes. Automation is a core value, and nowhere is that more visible than in how we approach reliability.
Our infrastructure runs on AWS across multiple accounts, defined entirely in Terraform. You'll work across a modern cloud‑native stack to help Drata scale reliably for a rapidly growing customer base.
Reliability Architecture for Your Product Team
You are the reliability expert for your aligned product team. You engage early—during architecture reviews and design discussions—to surface risks before they become incidents.
Lead Production Readiness Reviews (PRRs) before new services launch, with authority to flag gaps and gate launches when critical reliability standards aren't met.
Partner with product engineering leads and staff engineers to define SLOs and SLIs for critical services, turning reliability from a vague goal into a measurable commitment.
Participate in team planning and architecture reviews to provide proactive reliability guidance.
Build reusable artifacts—SLO templates, observability checklists, alerting standards, reference dashboards—to raise the reliability floor across the team, not just the services you touch directly.
Eliminating Toil Through Engineering
You handle operational needs from your product team, but your job isn't to be a help desk. Your goal is to make each request the last of its kind. When an engineer needs something, your priority is to automate it so anyone can do it, document it so the team can self‑serve, and execute it manually only as a last resort.
Build and maintain Datadog monitors, dashboards, and alert routing—enforcing infrastructure‑as‑code standards via Terraform so those resources are owned, versioned, and auditable.
Handle infrastructure requests: ECS task management, secret rotations, Terraform changes, capacity adjustments.
Identify repeated manual work and convert it into self‑service tooling or runbooks.
Audit existing services for reliability anti‑patterns and surface top risks before they cause incidents.
Central SRE Platform Work
Beyond your product team, you contribute to cross‑cutting infrastructure, tooling, and standards that benefit every team at Drata. Recent examples include automated Datadog governance workflows, dynamic AWS account provisioning, and disaster recovery exercises.
Design and build shared platform infrastructure—Reusable Terraform modules, standardized observability stacks, service templates—to compound reliability improvements across the organization.
Participate in the on‑call rotation and lead incident response when needed; conduct thorough post‑incident reviews to drive lasting fixes.
Design and manage CI/CD pipelines using GitHub Actions.
Contribute to evolving SRE standards, tooling, and practices across the organization.
What you’ll bring
6+ years of experience in Site Reliability Engineering, Cloud Engineering, or building and maintaining scalable, resilient services.
Robust knowledge of cloud computing technologies: Terraform, Docker, Git, and Linux.
Hands‑on experience with Datadog for monitoring, alerting, dashboards, SLO tracking, and distributed tracing.
Experience building software systems as a software engineer.
Experience developing tooling and automation in Python and/or Bash.
Experience with CI/CD pipeline automation, specifically GitHub Actions.
Experience with disaster recovery practices and incident management.
Strong understanding of observability concepts—monitoring, logging, distributed tracing, and metrics—and how to apply them to production systems.
Experience with container orchestration and deployment technologies including AWS ECS Fargate and/or Kubernetes.
Experience working with relational databases (MySQL proficiency is a plus).
Ability to take ownership of problems and act on them independently in a constantly evolving environment.
Nice to Have
Experience with AIOps—using AI/ML‑based tooling for anomaly detection, predictive alerting, or automated incident triage.
Familiarity with the reliability characteristics of AI/ML‑backed services (e.g., LLM inference latency, non‑determinism, prompt pipeline observability).
Experience with the JavaScript/Node.js ecosystem.
Certified Kubernetes Administrator (CKA) certification.
Familiarity with compliance frameworks like SOC 2, ISO 27001, or NIST.
AI Experience (required – at least one of the following)
Hands‑on experience using AI‑assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate automation, scripting, or infrastructure work.
Demonstrated use of AI/AIOps capabilities for reliability tasks—anomaly detection, incident triage, runbook generation, or alert noise reduction.
Familiarity with the operational characteristics of AI/ML‑backed services and what it means to make them observable and reliable in production.
Demonstrated passion for AI through personal projects, contributions, or continuous learning in the context of infrastructure or reliability engineering.
How we support you
We offer a comprehensive total rewards package designed to power well‑being, accelerate growth, and maintain work‑life balance.
Shared Success: Stock equity to give every employee ownership and a share in company growth.
Health & Wellness: Up to 100% employer‑paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services.
Financial Well‑being: 401(k) plan, company‑paid life and disability insurance, tax‑advantaged spending accounts, and discounted voluntary offerings.
Family Support: Paid parental leave policy after six months of employment; fertility and family‑building benefits and dedicated leave specialists.
Growth & Development: Annual stipends for professional and personal development, internal learning opportunities, and support to advance career.
Time Off & Flexibility: Flexible vacation policy, paid holidays, and other perks to recharge.
Compensation
This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for this role is: $166,900 - $225,900.
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