Senior Site Reliability Engineer

Responsibilities

• Design, operate, and improve infrastructure on Google Cloud Platform, including Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, Redis, and VPC networking.
• Identify and implement cloud cost savings through resource rightsizing, autoscaling, committed use discounts, storage lifecycle policies, and removal of unused resources while maintaining service reliability and performance.
• Manage infrastructure as code using Terraform and Ansible, with a focus on repeatability, maintainability, and safe changes.
• Develop and maintain CI/CD and GitOps workflows using GitLab and Argo CD.
• Operate Kubernetes clusters and support application deployments, troubleshooting, capacity planning, and upgrades.
• Manage secrets and access policies using HashiCorp Vault.
• Maintain and troubleshoot Kafka and RabbitMQ, ensuring reliable message delivery and processing.
• Improve centralized logging using OpenSearch, Logstash, and Fluent Bit.
• Build actionable monitoring, dashboards, and alerting using VictoriaMetrics, Grafana, and PagerDuty.
• Define service-level indicators and objectives (SLIs/SLOs) with engineering teams and use error budgets to guide reliability improvements.
• Participate in the on-call rotation, lead incident response, and drive follow-up actions through blameless postmortems.
• Administer and troubleshoot Red Hat–based Linux systems, including performance, networking, and security.
• Manage CDN and DNS configurations using Akamai and EdgeNext.
• Develop and validate backup, recovery, and disaster recovery procedures.
• Reduce operational toil through automation, clear runbooks, and improvements to platform tooling.

Requirements

• Strong production experience in SRE, platform engineering, or infrastructure engineering, with ownership of business-critical services.
• Hands-on experience operating GCP infrastructure and Kubernetes workloads. Experience analyzing cloud spending, identifying cost optimization opportunities, and measuring the impact of implemented improvements.
• Proficiency with Terraform and Ansible for infrastructure provisioning and configuration management.
• Experience building and maintaining CI/CD pipelines and GitOps deployment workflows.
• Strong Linux administration and troubleshooting skills, particularly with Red Hat–based distributions.
• Solid understanding of networking, including TCP/IP, DNS, HTTP/S, TLS, load balancing, and cloud networking.
• Experience with monitoring, logging, alerting, and production incident response.
• Practical experience operating messaging systems such as Kafka or RabbitMQ.
• Experience with secrets management and secure infrastructure access.
• Ability to write automation scripts and tools in Bash and at least one programming language, such as Python or Go.
• Ability to investigate complex failures across infrastructure and application boundaries.
• Strong communication skills, a sense of ownership, and the ability to mentor engineers and collaborate across teams.
• Experience using AI-powered tools to improve engineering productivity, accelerate troubleshooting, and support scripting, automation, and documentation, while critically validating outputs and protecting sensitive data.

Our Technology Stack

• **Cloud:** GCP — Compute Engine, GKE, Cloud Storage, Cloud SQL, Redis, VPC
• **Infrastructure as Code:** Terraform, Ansible
• **CI/CD & GitOps:** GitLab, Argo CD
• **Secrets Management:** HashiCorp Vault
• **Messaging:** Kafka, RabbitMQ
• **Logging:** OpenSearch, Logstash, Fluent Bit
• **Monitoring & Alerting:** VictoriaMetrics, Grafana, PagerDuty
• **Operating Systems:** Red Hat–based Linux distributions
• **CDN & DNS:** Akamai, EdgeNext

Workplace

**Workplace:** hybrid

Department

**Department:** Technology (IT)