Senior Fullstack Engineer

Kyper - Fully remote, B2B

Kyper is the agentic downtime partner for heavy industry. Mining and oil & gas operators lose millions every hour to unplanned downtime. Our product surfaces ML signals, time-series data, and assembled context to four very different users - technicians on the plant floor, reliability engineers, ops managers, and VPs. None of them have time for clunky software. We need a fullstack engineer who builds that product end-to-end.

Don't apply if

• You only do frontend, or only do backend, and want to keep it that way.

• You'd rather stay away from databases, pipelines, or anything that smells like data engineering.

• You have not shipped to production with real users.

• You have never set up monitoring, logs, or alerts for code you wrote. If you ship it, you watch it.

• You prefer detailed designs and tickets before you start moving.

• Your AI tooling stops at chat interfaces and basic IDE autocomplete.

• You need a fixed 9-to-5. Customers span Japan to Alaska, so we trade strict hours for flexibility on both ends.

• You want long planning cycles before you write code. We move faster than that.

The role

You are comfortable with data-heavy applications. You understand how data pipelines and ML systems feed the product, and you can build the layers on top: APIs, services, UI, and the glue between them. You are not afraid of the database, not afraid of the frontend, and you know where the bottlenecks usually hide.

What you'll do

• Build customer-facing features end-to-end: React / TypeScript frontend, NestJS and Python (FastAPI) services on the backend.

• Wire the product into ML and data pipelines so model outputs become usable workflows.

• Own performance and reliability for data-intensive views: aggregations, time-series, large object sets.

• Make pragmatic architectural calls. Refactor when it pays back, leave it alone when it doesn't.

• Work directly with ML, product, and customers to ship features that actually move metrics.

You bring

• 4+ years of commercial fullstack experience shipping production software with real users.

• Strong TypeScript / React on the frontend.

• Solid NestJS and Python (FastAPI) on the backend. We use both, you should be willing to work across them.

• Proven experience with data-heavy applications: pipelines, ETL, streaming, analytical queries, or ML output integration.

• Working understanding of how data engineering and machine learning pipelines feed product surfaces. You do not need to be the ML or data engineer, but you do need to speak the language.

Bonus

• Time-series stores (TimescaleDB, ClickHouse, InfluxDB) or columnar warehouses.

• Industrial / IoT data, operational dashboards, or alerting interfaces.

• Cloud (GCP, AWS, Azure) and basic IaC.

You will fit Kyper if you

• Are productive with AI code agents and modern AI-assisted development workflows. If you have never built a Claude Code skill or subagent, set up an MCP server, run a personal knowledge system like Obsidian, or chained AI tools into a real workflow, your AI usage is probably too basic for what we need.

• Move fast, learn fast, and adapt quickly.

• Can take ideas and POCs all the way to production. This is a must-have skill.

• Are willing to dive into whatever challenges are needed to get things done.

How we work

You will ship product that industrial operators use every day, in real plants and mines. Short feedback loops, direct customer contact, and no layers between you and the work. We optimize for shipping and learning.

Our customers are world-class at heavy industry. They know their plants, their failure modes, and their operations cold. They are typically not deep on data, software, or computer science. That means the spec you need will not arrive on a silver platter. You will have to read between the lines, ask the right questions, and translate operational reality into product.

Fully remote on a B2B contract. Quarterly team co-locations in Warsaw. Customers span Japan to Alaska, so the occasional early or late call comes with the role. The trade is real flexibility on the rest of your time.