The Site Reliability Engineer enhances software reliability by implementing best practices, automating deployments, and ensuring high system availability across distributed systems.
Who we are
We're a leading, global security authority that's disrupting our own category. Our encryption is trusted by the major ecommerce brands, the world's largest companies, the major cloud providers, entire country financial systems, entire internets of things and even down to the little things like surgically embedded pacemakers. We help companies put trust - an abstract idea - to work. That's digital trust for the real world.
Job Summary
The Site Reliability Engineer (SRE) collaborates with development teams to embed reliability, scalability, and performance best practices throughout the software development lifecycle. This role bridges software engineering and cloud operations, ensuring mission-critical systems remain highly available and resilient. By integrating reliability early, the SRE fosters a culture of shared responsibility while enabling rapid and safe feature delivery.
What you will do
- Design and build fault-tolerant, high-performing systems that meet Service Level Objectives (SLOs) and Service Level Agreements (SLAs).
- Implement monitoring, alerting, distributed tracing, and logging to ensure real-time system health visibility and proactive issue resolution.
- Act as a first responder for production incidents, conduct blameless postmortems, and drive root cause analysis (RCA) and corrective actions.
- Develop self-healing, automated deployments, and scaling solutions to minimize toil and improve system efficiency.
- Improve continuous integration and deployment pipelines to enable safe, rapid, and reliable feature rollouts.
- Review code, debug issues, and perform quality assurance (QA) on software components to enhance system reliability and performance.
- Work closely with development teams to ensure best practices in software architecture, coding standards, and operational readiness.
- Forecast scalability needs and optimize cloud infrastructure costs while balancing performance and efficiency.
- Ensure production environments meet security and compliance requirements, collaborating with teams to mitigate vulnerabilities and enforce best practices.
- Work closely with development teams to embed reliability at every stage rather than treating it as an afterthought.
- Use error budgets to balance feature velocity with system stability.
- Implement observability and automation-first principles to measure system health and drive continuous improvement.
- Leverage game days, chaos engineering, and resilience testing to validate system robustness and refine operational processes.
What you will have
- 3-5 years of extensive experience in distributed systems, cloud-native architectures (AWS, GCP, Azure), and DevOps practices.
- Proficiency in Kubernetes, Terraform, CI/CD pipelines, and Infrastructure as Code (IaC).
- Strong scripting and automation skills in Python, Go, Bash, or similar languages.
- Expertise in observability tools such as Prometheus, Grafana, Datadog, Splunk, New Relic, and Open Telemetry.
- Ability to troubleshoot complex production issues and drive scalable, resilient solutions.
- Experience reviewing code, debugging applications, and conducting software testing to ensure high reliability and quality.
Benefits
- Generous time off policies
- Top shelf benefits
- Education, wellness and lifestyle support
#LI-SD1
Top Skills
AWS
Azure
Bash
Ci/Cd
Datadog
GCP
Go
Grafana
Kubernetes
New Relic
Open Telemetry
Prometheus
Python
Splunk
Terraform
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