- Location
- Prague, Central Bohemia, Czech Republic
- Workplace
- Remote
- Employment
- Full time
- Level
- Senior
- Posted
- 7 weeks ago
About this role
GoodData.AI is an AI-native analytics platform helping companies turn their data into governed, agentic, and embeddable decision-making experiences. Built around a headless semantic layer and an analytics-as-code approach, our platform lets development teams build, automate, and govern analytics the same way they build any other software - with CI/CD, version control, and automated testing baked in.
We're looking for a Sr. Software Engineer (Backend) to help us build the next generation of composable, AI-driven analytics infrastructure. You can work remote, hybrid, or fully onsite from our Brno or Prague offices.
About the team
The team builds a product-oriented Analytical Stack, collaborating closely with dedicated Product Manager, Architect and QA, to solve real customer problems and deliver features that make a difference. We collaborate to design solutions incrementally and value ownership and responsibility. Our engineers take end-to-end ownership of their work, with the freedom to experiment, innovate, and contribute to shaping the product.
Our Tech Stack
Our tech stack is built for scalability, efficiency, and flexibility in data processing
Our backend is primarily developed in Python (with types) and Kotlin, with a focus on modular microservices handling various aspects of the data pipeline, including orchestration, integration, and processing. We also recently started adopting more and more of Rust in performance-critical parts of our services.
We deploy on Kubernetes, leveraging technologies like Apache Arrow, DuckDB, Pandas, and Polars for high-performance data processing
We prioritize distributed architecture and scalability, crafting high-quality, test-driven code while influencing technical solutions, best practices, and API design - both internally and externally
What do we expect from you?
You are used to working on more than one project. You thrive in a dynamic, collaborative environment and enjoy taking initiative. You are proactive, open-minded, and enthusiastic about learning new technologies.
You should have
A robust background in computer science,
experience with object-oriented programming,
interest in clean software architecture,
a passion for distributed systems and data processing,
good proficiency in spoken and written English,
passion for your work, focus on technical excellence and quality of the delivered solutions,
a strong sense of ownership, while being open to constructive feedback.
It is nice if you have
Working knowledge of Apache Arrow and other open source data technologies
Python/ Kotlin experience
About GoodData.AI
At GoodData.AI, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact - from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.
But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.
#LI-Hybrid
#LI-Remote
As published by GoodData.AI. Applications are handled on their site.
Skills this posting mentions
About GoodData.AI
GoodData.AI is the AI-native, full-stack decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. Build, operationalize, embed, and monetize trusted analytics, workflows, and AI agents at scale - fully governed, auditable, and ready to scale. Our mission: Turn data into intelligence that’s secure and embedded wherever decisions happen. That’s why we built a platform that is composable, AI-native, flexible, and powered by a governed semantic layer, designed for the way modern enterprises deliver value. GoodData.AI is built for CIOs, product leaders, and data teams who need to innovate quickly while maintaining governance and compliance. Our platform gives teams the tools to deliver trusted AI, embedded analytics, and decision intelligence at enterprise speed. The GoodData.AI platform unifies semantic modeling, governance, analytics, and agentic AI into one secure foundation. This enables enterprises to: 🚀 Design & deploy fast: Create custom agentic AI apps and intelligence workflows for any use case - delivered in days, not years. 🚀 Scale & expand effortlessly: Scale on demand without sacrificing cost, compute, or performance, while delivering multi-tenant embedded analytics and AI applications. 🚀 Customize flexibly: Modify everything with developer-first tools, SDKs, and an API-driven architecture. 🚀 Secure by design: Run trusted agents with enterprise-grade governance, security, and flexible deployment in the cloud or on-premises. 🚀 Leverage our expertise: Partner with our forward-deployed engineers to co-design, test, and deliver production-ready AI and analytics solutions. We serve all industries worldwide, from fintech and retail to healthcare, SaaS, and manufacturing. More than 123,000 organizations and 3.9 million users rely on GoodData.AI. One AI platform, limitless ways to build, embed, and monetize intelligent analytics and AI agents. 👉 Start building smarter intelligence today at www.gooddata.ai
All 9 openings at GoodData.AIOne click, then it is written
Apply to GoodData.AI with a resume written for this role.
Queue Sr. Software Engineer (Backend) and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in GoodData.AI’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
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- No card
- Nothing sent until you say so
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
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