Senior Backend Engineer, Vector AI

Unity

. Design, develop, and deploy production-grade backend services and distributed systems for large-scale online model inference .

Posted 10/9/2026full-timeUnited StatesSenior💰 $165,600 - $273,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying scalable backend services and distributed systems, with a strong focus on low-latency and high-throughput infrastructure. Proficient in managing GCP cloud infrastructure and orchestrating workloads using Kubernetes, while ensuring system reliability and efficiency through monitoring and observability tools.

Highest-signal resume keywords

Golang ExpertiseGCP Cloud Infrastructure ManagementKubernetes Workload OrchestrationMonitoring and Observability ToolsDistributed Systems Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed SystemsBackend DevelopmentLow-Latency InfrastructureMicroservice ArchitecturesContainerizationCI/CD Best PracticesMachine Learning PlatformsML Inference ServersPrometheusGrafana

Soft Skills

Professional English Communication

Tools & Technologies

GCPKubernetesDockerNVIDIA Triton Inference Server

Industry Keywords

Ad TechRecommender SystemsReal-Time PersonalizationPerformance-Critical DomainsAuction MechanicsBidding Systems

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerGoogle Cloud PlatformGrafanaKubernetesPrometheusGo

About the role

Key responsibilities & impact

Design, develop, and deploy production-grade backend services and distributed systems for large-scale online model inference
Drive technical direction of the inference platform, focusing on low-latency, high-throughput serving infrastructure
Partner with ML engineers to scale online serving infrastructure with increasing model complexity and inference volumes
Ensure production system reliability, scalability, and efficiency using monitoring and observability tools
Manage and optimize GCP cloud infrastructure
Orchestrate workloads with Kubernetes in a high-scale production environment
Promote and implement best practices for backend development, testing, deployment, and monitoring across DevOps and SRE

Requirements

What you’ll need

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
Experience with ML inference servers like NVIDIA Triton Inference Server
Familiarity with auction mechanics or bidding systems in an ad tech context
Sufficient knowledge of English for professional verbal and written exchanges

Benefits

Comp & perks

Equity awards
Participation in company incentive plans, such as annual discretionary bonuses or sales commissions
Comprehensive health, life, and disability insurance
Commute subsidy
Employee stock ownership
Competitive retirement/pension plans
Generous vacation and personal days
New-parent 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