Senior DevOps Engineer (AI/ML)

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Senior DevOps Engineer

Кто хайрит? We 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 Aura is a large-scale mobile platform focused on content discovery at scale. The product serves millions of users and is built in a fast-moving, high-growth environment.

The stack reflects that: modern technologies, with a strong emphasis on scalability and resilience as the platform continues to expand.
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This role suits someone who wants to work on a technically complex product with real reach and see the impact of their decisions in production.

A good fit here is a team-oriented engineer with strong technical judgment, a sense of ownership, and the ability to choose the right tools for the problem at hand.

Опыт: Senior / Lead

Языки:

Условия работы: Hybrid

Требования: Requirements:

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 (modular code, reusable patterns, pipeline integration)
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).
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
Scalability & Performance: Proven experience managing production environments characterized by high traffic volumes and large amounts of data, with a focus on maintaining system reliability and cost-efficiency at scale

Чем предстоит заниматься?
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.

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
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
Collaborate on high-level technical designs with ML and Backend engineers to build resilient systems

Зарплата $7000

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