Senior Site Reliability Engineer
Locations: San Diego, CA or Seattle, WA | Full-Time | Hybrid or Remote Eligible in Select States
Engineering | High-Traffic, Mission-Critical Systems

Our client — a fast-growing, global technology leader — is seeking a Senior Site Reliability Engineer to join their high-impact infrastructure team. As a trusted staffing partner, we are managing the hiring process on their behalf.

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 Be Doing

• Ensure 24/7 uptime by participating in a rotating on-call schedule and managing production incidents across distributed environments.

• Operate and maintain core systems like Elasticsearch, Kafka, RabbitMQ, Redis, with a focus on reliability and performance.

• Architect monitoring solutions, define SLOs/SLIs, and implement scalable observability tools (e.g., Grafana, Prometheus, Zabbix).

• Collaborate with engineering teams to optimize capacity, auto-scaling, and system utilization.

• Develop and maintain automation tools and workflows to support a culture of minimal manual intervention.

• Troubleshoot infrastructure bottlenecks and improve full-stack performance across services.

• Own the design and execution of new infrastructure patterns to support continued scale and speed.

• Maintain clear technical documentation including runbooks, incident response procedures, and architectural diagrams.

What You Bring

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

• 5+ years of experience supporting mission-critical, real-time, high-traffic systems in a cloud-based or hybrid production environment.

• Deep expertise in Linux, distributed systems, cloud architecture, and containerized workloads (Docker, Kubernetes, etc.).

• Skilled in system-level debugging and end-to-end performance optimization.

• Strong programming/scripting ability in Python, Go, or similar.

• Experience managing OSS components such as Kafka, Elasticsearch, Redis, and more.

• Proven ability to reduce incident rates and drive down MTTR through process improvements and tooling.

• Excellent communication skills and experience working across distributed teams.

Bonus Points

• Experience with big data infrastructure (e.g., Hadoop, Spark, Hive, HBase).

• Background in data infrastructure, DBRE, or DBA responsibilities at scale.

• Familiarity with service mesh technologies and zero-trust architectures.

Compensation & Perks

• Base Salary: $107,600 – $180,200/year

• Compensation: Includes annual bonus + equity (RSU)

• Benefits:

  • Full medical, dental, and vision insurance

  • HSA with company contributions + FSA options

  • 401(k) plan with discretionary company match and financial advising

  • Company-paid life, AD&D, short-term & long-term disability insurance

  • Paid holidays, generous PTO, and floating days

  • Employee discounts and perks

  • Weekly catered lunches, stocked snacks, and beverages

  • Gym access & dog-friendly office (select locations)

  • Swag, holiday parties, and internal community events

Additional Notes

• Hybrid work setup encouraged (onboarding may require brief relocation to San Diego).

• Remote work options available in: CA, WA, NY, TX, PA, DC, VA, MD, NC, IN.

• Mandarin fluency is a plus for collaboration with global technical teams.

Ready to help build systems that scale?
Apply now to join a high-impact engineering team building some of the most reliable digital infrastructure on the planet.