Senior DevOps Engineer (Data Platform)

🕵️‍♂️ Новая вакансия!
Senior DevOps Engineer (Data Platform)

Кто хайрит? On The Spot bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment.

Unity is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms.

Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.

Опыт: Senior / Lead

Языки:

Условия работы: Hybrid

Требования: Requirements:

5+ years of hands-on DevOps experience building, shipping, and operating production systems

Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.

Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM)

Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).

Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration)

GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar

Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar

Чем предстоит заниматься?
About the role:

You’ll take a leading role in shaping our data infrastructure, setting clear architectural standards for AI/ML workloads and influencing decisions across data and engineering teams.

The focus is on building a smooth, self-service developer experience while improving pipeline reliability and day-to-day productivity for data engineers. You’ll work closely with DevOps, Data Engineering, and ML Ops to align on infrastructure-as-code and orchestration practices, covering the full DataOps stack from pipelines to AI/ML infrastructure.

The role offers room to grow as a senior infrastructure engineer, with your work directly translating into scalable analytics and measurable business impact.

Responsibilities

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

Зарплата $7000

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