Job description

The opportunity Every day, we connect billions of players with the games and experiences they love. Our Vector Gamer AI team sits at the heart of that mission, governing ad ranking and bidding decisions across billions of daily impressions, where large-scale machine learning and real-world impact converge at scale. We re hiring a Senior Backend Engineer to build and operate the infrastructure those models depend on. You ll design and operate the distributed systems that power billions of daily decisions, with a focus on the performance, reliability, and scalability of inference systems. Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded. 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 Experience 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 information Gross pay annually: $165,600 - $273,400 USD 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. Benefits At 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 Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO unity.com.

Requirements

Must-haves

Every day, we connect billions of players with the games and experiences they love.
Our Vector Gamer AI team sits at the heart of that mission, governing ad ranking and bidding decisions across billions of daily impressions, where large-scale machine learning and real-world impact converge at scale.
Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded.
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
Experience 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 information
Gross pay annually: $165,600 - $273,400 USD

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlgcpkubernetesgolangdockerci/cd

Platform: workday
Effort: long