Senior Site Reliability Engineer

6 days ago

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Application Security • Web Application Security • Binary Static Analysis • Vendor Application Security Testing • Runtime Application Self Protection

501 - 1000

💰 Private Equity Round on 2022-03

Description

• Utilize AWS services to design scalable cloud solutions that support critical systems. • Partner with engineering teams to ensure monitoring and alerting is in place, enabling consistent, scalable, and automated service delivery. • Develop and improve monitoring and alerting solutions to guarantee the reliability of applications and services, using tools like Datadog and Sumologic. • Lead efforts to automate infrastructure deployment and management using Terraform, Kubernetes, and other cloud-native tools. • Create automated incident response workflows to handle common infrastructure and application issues. • Collaborate with security teams to ensure systems adhere to industry-standard security practices and policies. • Document and train engineering teams on best practices in reliability, scalability, and operational excellence. • Participate in 24x7 on-call rotations to respond to incidents, triage production issues. • Contribute to incident and process post-mortems. • Ensure uptime, SLAs, and availability of critical platform components through process improvements and automation. • Monitor existing application and infrastructure while working to improve existing monitoring. • Communicate effectively with project stakeholders and management. • Develop and support processes to maintain uptime, SLAs and availability of critical platform components. • Troubleshoot and resolve production issues related to systems, network, and application. • Ensure that our systems and processes adhere to industry-standard security practices and policies.

Requirements

• Bachelor's Degree in Computer Science, Information Science, Engineering, or related/relevant field or equivalent experience. • 5+ years working in a SRE, DevOps, Cloud Engineering or similar role. • Experience with AWS and automation tools like Terraform, CloudFormation, or Ansible. • Hands-on experience deploying, managing, and troubleshooting Kubernetes clusters. • Proficiency with observability, monitoring, and alerting tools (Datadog, Sumologic, Prometheus, Grafana, etc.). • Familiarity with CI/CD pipelines and repository management tools (e.g., GitLab, Jenkins, GitHub). • Strong programming skills for automation (Python, Go, or similar languages). • Solid understanding of infrastructure as code (IaC) and GitOps methodologies. • Strong communication skills with the ability to collaborate effectively across different teams. • Ability to work in an Agile environment. • Proven experience in troubleshooting production environments and improving system reliability. • Experience with on-call/incident management systems such as PagerDuty, VictorOps or OpsGenie.