Senior DevOps Engineer

On The Spot Development is hiring for an Engineering Team Lead. 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 product:

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.

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.

The position is for our Warsaw office and requires 3 days from the office.

Benefits:

• Work in a highly professional team. Informal and friendly atmosphere in the team

• 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

• Comfortable office in Warsaw at Prosta 51

• 5 sick days per year

• Medical insurance

• Flexible working hours – we care about you (!) and your output

• English classes 2 times a week (online)

• Bright and memorable corporate life: corporate parties, gifts to employees on significant dates