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Senior DevOps Engineer
About On The Spot
About the team
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.
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.
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.
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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
- 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
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
Nice to have
- Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools
- Data Pipeline Orchestration: Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Temporal, 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
Benefits
At On The Spot, we’re creating a workplace people would want to stay in:
supportive, well-organized, and fair in terms of conditions and benefits.
We’ll share more about our benefit package during the interviews. In the meantime, you can always check our Glassdoor reviews.
Join us
Position is open to candidates in Poland. You need to have a residence permit or another valid document allowing employment in Poland. Thank you!
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