The Lead Site Reliability Engineer plays a critical role in ensuring the reliability, scalability, and performance of our production systems. This position bridges the gap between development and operations by implementing robust automation, monitoring, and incident response practices. The ideal candidate will lead initiatives to reduce system downtime, improve service ownership, and drive a culture of continuous improvement. You will work closely with engineering teams to design resilient architectures, enforce SLOs, and optimize cloud infrastructure for both performance and cost-efficiency. This role requires deep technical expertise, strong leadership skills, and a commitment to operational excellence in complex, high-traffic environments.
Responsibilities
- Lead efforts to improve system availability, performance, and scalability across production environments
- Define and enforce Service Level Objectives (SLOs) and Service Level Indicators (SLIs) through proactive engineering practices
- Promote an automation-first mindset to reduce manual toil and increase engineering efficiency
- Design and deploy automated solutions for provisioning, deployment, scaling, and self-healing of services
- Implement comprehensive monitoring, logging, and alerting systems for real-time system visibility
- Create dashboards and diagnostic tools to accelerate incident detection and resolution
- Foster a DevOps culture by equipping development teams with secure, reliable tools and infrastructure
- Lead incident response efforts and conduct thorough root cause analyses to prevent future outages
- Ensure continuous improvement by driving post-mortem action items to completion
Requirements
- Bachelor's degree or equivalent practical experience
- Over 10 years of experience in Site Reliability Engineering, DevOps, or software engineering within high-scale production systems
- Extensive background managing critical systems, incident response, and leading post-mortem reviews
- Proven experience operating and scaling infrastructure in AWS, Azure, or GCP
- Demonstrated success in automating complex operational workflows to improve efficiency
- Hands-on experience with monitoring and logging technologies such as Prometheus, Grafana, ELK, Datadog, or Splunk
- Strong proficiency with Infrastructure as Code tools like Terraform or CloudFormation and configuration management systems such as Ansible, Chef, or Puppet
Tech Stack
Prometheus, Grafana, ELK stack, Elasticsearch, Datadog, Splunk, Terraform, CloudFormation, Ansible, Chef, Puppet, Python, Go, Ruby, Java, C#, AWS, EC2, S3, RDS, Lambda, EKS, ECS, Docker, Kubernetes
Benefits
- Comprehensive benefits package
- Opportunities for career development and growth
- Work environment rooted in inclusion
Compensation
Not specified
Work Arrangement
Not specified
Team
Engineer-focused environment emphasizing collaboration, reliability, and operational excellence across distributed systems
- Inclusion
- Caring
- Connecting
- Growing together
Additional Information
- The ideal candidate has deep expertise in distributed systems and cloud computing, with a proven ability to scale SRE and DevOps practices in large production environments
- Employees are expected to comply with employment contracts, company policies, and management directives, including potential changes in work location, team assignments, or work schedules
- The company reserves the right to modify, update, or discontinue any policies or directives at its discretion
Not specified
