What you'll be doing- Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests
- Drive technical direction of our inference platform, with a focus on low-latency, high-throughput serving infrastructure
- Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes, without compromising latency or throughput
- Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana
- Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes across a high-scale production environment
- Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE)
What we're looking for- 5+ years designing, deploying, and maintaining distributed systems at scale
- Expertise in Golang for building high-performance, low-latency backend infrastructure
- Hands-on experience with cloud infrastructure on GCP and workload orchestration with Kubernetes
- Strong grounding in monitoring and observability tooling, including Prometheus and Grafana
- Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains
- Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices
- Familiarity with machine learning platforms, workflows, and serving infrastructure
You might also have- Experience with ML inference servers like NVIDIA Triton Inference Server
- Familiarity with auction mechanics or bidding systems in an ad tech context
Additional informationRelocation support is not available for this position
Gross pay annually: USD $244,500 - $317,800
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.
BenefitsAt Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
