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Software/Data/Infrastructure Engineer @ Shovels

Opis delovnega mesta

Hej! 👋 Pri Shovels-u, ki je prejel vecmilijonske VC investicije 💸 + ima rastoco bazo strank 🚀, iscemo izkusenega Software/Data/Infra 👷‍ ️👷 inzenirja, da se pridruzi nasi sicer mali, ampak mighty ekipi. Ce bi rad reseval zelo zanimive in komplicirane podatkovni probleme, gradil skalabilne sisteme in eksperimentiral z cutting-edge tech (hello, AI + LLMs!), potem je mogoce to zate! Veliko vec najdes na tem linku: https://www.shovels.ai/careers. Zelo vesel bom vsakega inbound emaila s prijavo ali vprasanji. 📨

Od kandidatov zahtevamo

This is not just another engineer job - it's a chance to shape the core of a company that's going places fast. As our Software/Data/Infra Engineer, you'll be at the intersection of data engineering, gen AI, backend systems, and infrastructure. You'll have the autonomy to solve challenging problems and build robust systems while working with a modern tech stack that's constantly evolving.

We're not hiring for a narrow, specialized role. You'll join a small, core team of engineers who take on interdisciplinary challenges and own all parts of the stack - from data pipelines to API development and infrastructure.

Whether you're tuning distributed systems, optimizing data pipelines, or brainstorming with the team, you'll make a real impact here.

Your experience in writing good software is a must, and your expertise in distributed systems and data wrangling is a huge plus. We're looking for someone with a good intuition about modern data and API architecture. Your contributions will be instrumental in our journey toward success.

We like working with smart people who are comfortable working with challenging data problems and cloud environments. We're happy to help you get up to speed with anything you haven't seen before. We practice peer code review and continuous deployment on all our code and systems.

Kandidatom ponujamo

Impact from day one: Your work will directly shape our product and company.
Room to grow: Early engineers will play leadership roles as the team expands.
Flexibility: Fully remote, async-friendly culture with no strict 9-to-5 rules.
Transparency: You'll see the inner workings of the business and help shape its future.
Great pay + stock options: Competitive salary and meaningful equity in a company that's on the rise.

We're a small, fully-remote global team, so flexibility and communication are key. Our core hours overlap enough to make collaboration smooth, but we trust you to manage your time and prioritize your work. We stay connected via Slack, bi-weekly calls, with impromptu 1:1s when needed, and keep things casual and fun. Twice a year, we bring everyone together for in-person team summits to connect, strategize, and celebrate our progress.

Kontakt

No lengthy forms, no pointless take-home assignments. Send your resume and a quick note about why you're excited to join us to luka@shovels.ai. We'll set up a friendly chat to dive into your past work and solve a technical challenge together.

Klasifikacija delovnega mesta

Lokacija:
Remote
Plačilo:
Od $7000/m naprej + stock options EUR / mesec
Delovni čas:
redna zaposlitev

 

Zahtevana znanja

Git, CI/CD, code reviews
napredno znanje
Python, FastAPI, pandas, DuckDB, dbt, scitkit-learn
napredno znanje
Amazon S3, PostgreSQL, AWS Athena (Trino), Snowflake
napredno znanje
Docker, Terraform, AWS Fargate/RDS/EC2/etc
napredno znanje

O podjetju

At Shovels, we're reshaping the construction and real estate industries by transforming fragmented building permit and contractor data into actionable, game-changing insights. Backed by multi-million-dollar VC funding and a growing customer base, we're taking on one of the world's largest yet most underutilized data-rich sectors—using advanced pipelines and AI to bring structure, clarity, and value to messy, fragmented data.

Zakaj bi želel delati za vas

Exposure to all parts of the company: We believe in radical transparency. At Shovels, you'll see financial statements, participate in strategic planning, and have a voice in shaping the company's direction. Everyone is part of the conversation about the future.

Cutting-edge stack: From Python frameworks to modern orchestration and data tools, we don't shy away from embracing new technologies. If it makes us faster, better, or more innovative, we're all in.

Generative AI in production: We use Gen AI tools daily, from categorizing hundreds of millions of records to writing and reviewing code. You'll be encouraged to experiment with LLMs and leverage AI to its fullest potential.

Programerski vprašalnik