Site Reliability Engineer I

Job description

Site Reliability Engineer I (SRE)

Location: San Diego, CA (initial onsite onboarding), with remote options available in select U.S. states

Full-Time | Engineering | Mission-Critical Platform

Our client — a fast-growing, global technology leader — is seeking a Site Reliability Engineer I (SRE) to join their high-impact infrastructure team.

This role is ideal for someone passionate about scaling reliable, high-performance systems in a cloud-native, automation-driven environment. You’ll work on large-scale, mission-critical applications powering real-time services used by millions.

What You’ll Do

• Ensure ²⁴⁄₇ system availability by participating in an on-call rotation and responding to production incidents.

• Monitor and manage service capacity, scaling infrastructure in collaboration with engineering and ops teams.

• Own and operate core open-source services such as Elasticsearch, Kafka, RabbitMQ, and Redis.

• Improve observability and system resiliency by building tools and optimizing infrastructure.

• Define and monitor SLOs/SLIs, reduce MTTR, and drive service reliability efforts end-to-end.

• Maintain runbooks, network diagrams, technical documentation, and automate manual operations.

• Support system design efforts for reliability, scalability, and fault tolerance across distributed systems.

• Proactively resolve issues through full-stack debugging, root cause analysis, and automation.

What You Bring

• Bachelor’s degree in Computer Science, Information Systems, or related technical field.

• 3+ years of experience in ²⁴⁄₇ high-traffic, mission-critical environments, preferably in the cloud.

• Strong troubleshooting skills across application, infrastructure, and network layers.

• Experience with observability stacks (e.g., Grafana, Prometheus, Zabbix).

• Familiarity with cloud architecture (load balancers, CI/CD, caching, distributed systems).

• Proficiency in scripting/programming languages like Python or Go.

• Hands-on experience with container technologies ( Docker, Kubernetes, etc.).

• Working knowledge of open-source systems like Kafka, Redis, Elasticsearch.

• Passion for automation and eliminating manual toil through software-driven solutions.

• Excellent written and verbal communication, comfortable collaborating with globally distributed teams.

Nice to Have

• Background in big data environments (e.g., Hadoop, Hive, Spark).

• Solid understanding of Linux systems and internals.

• Familiarity with SRE best practices and production-grade incident response.

Compensation & Perks

• Base Salary: $101,400 – $166,800/year

• Compensation: Bonus + RSU/equity offering

• Insurance: Medical, dental, vision, life, disability

• 401(k): With discretionary company match and financial advising

• Time Off: Generous PTO, sick leave, floating holidays

• Work Environment:

  • Weekly catered lunches

  • Free snacks & beverages

  • Dog-friendly office (select locations)

  • Gym access (select locations)

  • Frequent swag drops, annual holiday events, and pop-up activations

Additional Info

• Remote work is available for candidates based in CA, DC, IN, MD, NC, PA, VA, WA, TX, and NY.

• Initial onboarding may require temporary relocation to San Diego (10 days to 3 months, expenses covered).

• Mandarin proficiency is a plus, as you’ll collaborate with technical teams based in China.

Ready to help scale resilient systems powering global operations?

Apply now and become part of a team committed to performance, automation, and reliability at scale.