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Unity Aura is a revolutionary mobile platform used on 350 million devices worldwide. We are looking for a top-notch release engineer to join us!Release engineers at Unity Aura ensure that Auras services and mobile applications can be delivered fast, without compromising quality, and with production stability. Join the team and become an excellent generalist who can write code and work on complex infra. Partnering alongside the best engineers in the industry and working on the most incredible projects, you'll develop code and systems that are in production and used by millions of users worldwide.
What you'll be doing
Design, implement, and maintain scalable CI/CD pipelines to automate multiple projects' builds, tests, and deployments.
Design and implement new technologies and tools.
Improve codebase to support CI best practices (code source structure, architecture, builds, versioning, packaging, and testing.
Simplify the process to make it accessible to the development teams.
Collaborate cross-functionally with software developers, QA engineers, SREs, and end-to-end testing teams to align pipelines with quality gates and production requirements
Proactively identify and fix the issues in tooling and processes

Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics

Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms

Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer

Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions

What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data 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 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 DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale