Unity Technologies
AI/ML
SeniorDeveloperOperationsEngineer
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“Senior Developer Operations Engineer at Unity Technologies. Skills: DevOps, Kubernetes, Data Infrastructure, AI/ML. Design Data-Native Cloud Solutions. Implement scalable data infrastructure”
What You'll Achieve.
power our AI, ML, and analytics ecosystem; empower data teams to deliver insights faster; ensuring performance and cost-effectiveness; elevate how we build, deploy, and operate data systems at scale
Industry & Context.
solving complex, high-traffic infrastructure puzzles
Relocation support is not available, Work visa/immigration sponsorship is not available
What They're Looking For.
Must Have
5+ years of hands-on DevOps experience, Infrastructure as Code, Cloud platforms, Kubernetes, GitOps, Scalability, Data Pipeline Orchestration, Data Engineer Experience Focus, Data Infrastructure Deep Knowledge
Nice to Have
modular code, reusable patterns, pipeline integration, core services, networking, IAM, routing/networking, scaling, security, observability, upgrades, actionable alerting, SLOs, Kubernetes operators, streaming platforms, data processing frameworks, storage solutions, observability systems
What You'll Do.
Design Data-Native Cloud Solutions
Implement scalable data infrastructure
Set architectural standards
Bridge DevOps and Data Engineering
Accelerate Data/ML Engineer Experience
Spearhead improvements
Engineer Robust Data/ML Platforms
Build and optimize infrastructure
Drive DevOps Excellence
Collaborate on technical designs
Build resilient systems
How You'll Work.
Team & Collaboration
Collaborate with engineering leaders; Collaborate on high-level technical designs
Communication Scope
professional verbal and written exchanges in English
Full Job Description
The opportunity We are looking for an outstanding Senior DevOps Engineer to join Aura, our revolutionary, large-scale mobile content discovery platform used by millions of users worldwide. In this role, you won't just keep the lights on—you will take a leading role in shaping our data infrastructure, setting architectural standards for AI/ML workloads, and bridging the gap between DevOps and Data Engineering. Why you’ll love this team: We move fast, use cutting-edge technologies, and value absolute technical excellence over rigid bureaucracy. If you are passionate about solving complex, high-traffic infrastructure puzzles and want to see your work directly impact millions of daily users, this is the sandbox you’ve been looking for. What you'll be doing Design Data-Native Cloud Solutions: Design and implement scalable data and AI/ML infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem Accelerate Data/ML Engineer Experience: Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability Engineer Robust Data/ML Platforms: Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems Drive DevOps Excellence: Collaborate with engineering leaders across backend and ML teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale Collaborate on high-level technical designs with ML and Backend engineers to build resilient systems What we're looking for 5+ years of hands-on DevOps experience building, shipping, and operating production systems Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modul
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