Senior Backend Engineer, Data & Reporting

Overview:

We’re a fast-growing tech company building AI-native software for the self-storage industry. Backed by an exceptional group of investors, trusted customers, and 25+ leading industry advisors – including our recent $63M Series A – we have the resources and long-term mindset to build things the right way, scale thoughtfully, and create real impact.

Self-storage is the fastest growing asset class in commercial real estate – surpassing $65 billion annually in the U.S. last year. There are more than 77,000 self-storage properties in North America, operated by more than 35,000 independent business owners who provide service to tenants. Cubby’s mission is to empower self-storage operators – from small and medium family-owned businesses to large corporate clients – by streamlining operations, optimizing processes, and reducing administrative effort, so they can focus on growing their businesses.

We’re a B2B SaaS startup where analytics is a core product surface, not just an internal function. We deliver embedded customer reporting, internal dashboards, and data-backed product features built on shared analytical datasets.

Our data systems are early and evolving. Metrics are not yet fully standardized, pipelines have grown organically, and different use cases place different demands on latency, freshness, and scale. We’re intentionally not pursuing real-time everywhere. Instead, we want clear analytics standards, predictable data SLAs, and strong reliability, so both customers and internal teams can trust what they see.

We’re hiring а Senior Backend Engineer, Data & Reporting to establish an analytics-first data platform on GCP, with the judgment and ownership to evolve the architecture as needs become clearer.

Responsibilities

• Participate in the creation of Cubby’s product, from architecture through implementation and beyond
• Contribute to the overall software development life-cycle including development, release/version control, testing, CI/CD, deployment and support
• Ensure high code quality and handle defects
• Build and maintain a scalable analytics platform on GCP, integrating data from MySQL and other internal systems.
• Create standards, templates, and guardrails that allow teams to safely extend datasets and add new metrics.
• Manage data freshness and reliability by implementing appropriate ingestion strategies and monitoring data quality.
• Design secure, tenant-aware data models that support embedded analytics in a multi-tenant B2B product.
• Ensure analytics pipelines are observable and reliable through monitoring, testing, and alerting.
• Provide well-structured datasets used by ML models and AI systems, collaborating with ML teams on data definitions.

Requirements

• 5+ years building and operating analytics-focused data platforms.
• Java & backend & architecture/systems experience
• Strong SQL and analytical data modeling skills.
• Experience with cloud analytics stacks (GCP preferred).
• Experience with modern database systems such as Postgres, Clickhouse, Redis
• Experience ingesting from OLTP systems such as MySQL.
• Experience supporting dashboards, reports, or embedded analytics at scale.
• Strong judgment in balancing simplicity, correctness, and future growth.

It will be considered an advantage if you have

• Familiarity with data quality and observability tooling.
• Exposure to CDC or event-driven ingestion patterns.
• Experience collaborating with ML or AI teams as downstream consumers.
• Strong Python (or similar) for pipeline development and automation.

What you can expect if you join us

• An excellent team environment surrounded by experienced high-impact peers in every function
• Generous remuneration package
• Options/Shares incentive program based on contribution
• Additional health insurance
• Multisport card
• Development of novel product and systems from scratch, with a minimum of legacy integration work
• Company-sponsored team building activities and events
• Company-sponsored lunch once a week

What you can expect from the interview process

A friendly “Get-to-Know” meeting – The meeting takes 45 minutes and is conducted by a member of our HR team. We will share more details about the project, as well as learn more about you, your technical skills and personal qualities.

Two technical interviews – The goal of this interview would be to assess your technical skills and evaluate whether you have everything required to be successful in the job.

Manager meeting – During this discussion you will get the opportunity to get to know your future manager, so you can both learn more about each other.

If you are interested in this position, please send us your CV in English!

We will contact only the candidates selected for further consideration.