Senior DevOps Engineer (Data Platform)

Company
On The Spot Development
Team
Unity
Department
Engineering & DevOps
Poland
Hybrid | Warsaw
B2B
Engineering & DevOps
Unity
Hybrid | Warsaw
Poland
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About On The Spot

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.

About the team

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.

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.

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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

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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

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Nice to have

  • Data Pipeline Orchestration: Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
  • Data Engineer Experience Focus: Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
  • Data Infrastructure Deep Knowledge: Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems

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Benefits

  • Work in a highly professional team with informal and friendly atmosphere
  • Paid vacation — 20 business days per year, 100% sick leave payment
  • Equipment provision
  • Partially compensated educational costs (for courses, certifications, professional events, etc.)
  • Legal and Accounting support in Poland
  • Ability to work from our comfortable office in Warsaw at Prosta 51‍
  • 5 sick days per year
  • Medical insurance (after the end of the probationary period)
  • Flexible working hours — we care about you (!) and your output
  • English and Polish classes 2 times a week (online)
  • Bright and memorable corporate life: corporate parties, gifts to employees on significant dates

Join us

To be considered for this position, you must have Polish citizenship, a D-type work visa, or a residence permit. Thank you!

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Thanks for applying!

Your application has been successfully submitted. One of our recruiters will be in touch soon.

Oops! Something went wrong while submitting the form.

Dzmitry Siniukovich

Recruiter

Contribute to our growth

Know someone perfect for this role? Let us know about them. We have a referral program to recognize your support.

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Thank you!

Your message has been sent successfully! We will contact you as soon as possible.

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Dzmitry Siniukovich

Recruiter

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