Unity Technologies

AI and machine learning

DevOpsTechLead

Tel Aviv, Israel
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“DevOps Tech Lead at Unity Technologies. Skills: DevOps, SRE, Platform engineering, Kubernetes, IaC, CI/CD, Cloud infrastructure, AI/ML infrastructure. Provide technical leadership across multiple DevOps teams. Drive best practices”

What You'll Achieve.

Ensure operational excellence across our infrastructure; Shorten release cycles; Reduce friction; Ensure performance, reliability, and cost-effectiveness for critical business intelligence systems; Demonstrate success and impact

Industry & Context.

AI and machine learning
Eligibility Requirements

Relocation support is not available, Work visa/immigration sponsorship is not available

What They're Looking For.

Must Have

7+ years in DevOps, SRE, or platform engineering, 2+ years leading teams or tech-leading across multiple squads, Deep expertise with Kubernetes — architecture, networking, security, and cluster operations at scale, Hands-on experience with Pulumi (or equivalent IaC), Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), CI/CD expertise — designing and maintaining pipelines at scale (e. g. , GitHub Actions, Jenkins, ArgoCD), Solid understanding of networking, security, and observability in cloud-native environments, Experience with monitoring and observability stacks (e. g. Prometheus, Grafana), background in programming skills (Python, Typescript, etc.), Proven ability to define technical strategy, Proven ability to drive cross-team alignment, Proven ability to mentor engineers, Sufficient knowledge of English to have professional verbal and written exchanges in this language

Nice to Have

Experience building infrastructure for AI/ML workloads (GPU scheduling, model serving, training pipelines), Familiarity with streaming and data platforms (Kafka, Spark, Airflow, Ray), Contributions to open-source DevOps or infrastructure projects

What You'll Do.

Provide technical leadership across multiple DevOps teams

Foster technological innovation

Ensure operational excellence across infrastructure

Shape the future of cloud-native solutions

and data infrastructure

Architect and implement scalable cloud infrastructure across multiple environments using Kubernetes and IaC

Design purpose-built platforms for AI/ML training

GPU-accelerated workloads

and real-time model serving

Define the technical vision and roadmap for DevOps capabilities

Align multiple teams around common patterns

Enhance Developer Portal

Shorten release cycles

Build self-service capabilities for data scientists and ML engineers

Engineer robust platforms that support data-intensive workloads

and cost-effectiveness for business intelligence systems

Champion modern DevOps practices across engineering

Establish shared standards for building

and operating software at scale

Build comprehensive tracking for AI/ML usage

Grow the next generation of technical leaders

Shape the future of Aura's infrastructure

Influence architectural decisions across the organization

Work across the full DevOps spectrum

Experiment with emerging technologies and implement solutions at scale

How You'll Work.

Team & Collaboration

Align multiple teams around common patterns, tools, and practices; Drive cross-team alignment; Collaborate with colleagues and partners located worldwide

Communication Scope

Professional verbal and written exchanges in English

Full Job Description

The opportunity We are seeking a highly skilled and experienced DevOps Tech Lead to provide technical leadership across multiple DevOps teams within our R&D organization. As a key member of our DevOps and Infrastructure group at Aura, you will be instrumental in driving best practices, fostering technological innovation, and ensuring operational excellence across our infrastructure. This role offers a unique opportunity to shape the future of our cloud-native solutions, developer experience, and data infrastructure — including the rapidly growing AI and machine learning platform layer that underpins Aura's next generation of intelligent products. Design Cloud-Native Solutions: Architect and implement scalable cloud infrastructure across multiple environments using Kubernetes and IaC — including purpose-built platforms for AI/ML training, GPU-accelerated workloads, and real-time model serving. Lead Technical Strategy: Define the technical vision and roadmap for our DevOps capabilities, aligning multiple teams around common patterns, tools, and practices that drive efficiency and reliability. Boost Engineering Productivity: Enhance Developer Portal, CI/CD pipelines, and internal tooling to shorten release cycles and reduce friction. Build self-service capabilities that let data scientists and ML engineers deploy and monitor models without DevOps intervention. Optimize Data & AI Infrastructure: Engineer robust platforms that support our data-intensive workloads, ensuring performance, reliability, and cost-effectiveness for critical business intelligence systems. Drive DevOps Transformation: Champion modern DevOps practices across engineering, establishing shared standards for how Aura builds, deploys, and operates software at scale. Implement AI Observability: Build comprehensive tracking for AI/ML usage, cost attribution, and governance across users and services. Mentor & Build Culture: Grow the next generation of technical leaders while fostering a culture of innovat

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