Staff Software Engineer

About Slyce

At Slyce, we're reinventing how food delivery operations work. Our SaaS platform is trusted by some of the world's largest restaurant brands to run their marketing, menus and operations across Uber Eats, Wolt, Lieferando and other delivery platforms.

Our founders previously built and scaled Honest Food, the world's largest virtual restaurant brand, which Delivery Hero acquired. Backed by top-tier venture capital and business angels, we are building the next big thing in food tech. If you want to make a real impact, this is your chance.

Role overview

We're looking for a Staff Software Engineer who takes problems from idea to production on their own. You'll own large parts of our platform end to end: the integrations with delivery platforms, the data pipelines behind our analytics, the backend services, and the product our customers use every day.

This is a senior individual contributor role. You'll spend most of your time designing, building and shipping, while setting the technical bar for the team through architecture decisions, code reviews and mentoring. You'll work directly with the founders and product to decide what to build, not just how.

What you'll do

• Own features end to end: from shaping the problem with product to design, implementation, rollout, monitoring and on-call.
• Build reliable platform integrations: connect to delivery platforms through their APIs and browser automation, and keep those integrations working when the platforms change, slow down or fail.
• Build data pipelines: collect and process menu, availability, campaign and sales data at scale, and make it available for analytics and real-time features.
• Design for scale and failure: queues, retries, rate limits, idempotency and observability, so our customers can trust the numbers they see.
• Shape architecture: make and document key technical decisions with the founders, and keep our infrastructure simple and cost-aware.
• Raise the bar: review code, set standards for testing and quality, and mentor other engineers.

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What we're looking for

• Deep hands-on experience: 8+ years building and running production software, with strong TypeScript, Node.js and React.
• End-to-end ownership: a track record of taking systems from design to production and owning them afterwards, including incidents.
• Backend and distributed systems: experience with queues, async processing, data pipelines and designing for failure.
• Data skills: solid SQL and data modeling in PostgreSQL; experience with a data warehouse such as BigQuery is a plus.
• Cloud and operations: experience deploying and running services on a major cloud, ideally Google Cloud, with infrastructure as code and good monitoring.
• Attention to detail: you read specs closely, question what's unclear, and care about edge cases, tests and maintainable code.
• Startup mindset: you're comfortable with ambiguity, make pragmatic tradeoffs, and ship.
• Clear communicator: you write well and work smoothly with product, founders and a distributed team.
• Education: a degree in Computer Science, Engineering, or equivalent experience.
• AI-assisted engineering: you use AI coding tools such as Claude Code, Codex or Cursor in your daily work. You know how to direct them well, review what they produce, and when not to trust them. We work this way every day, so this is a real plus.

Nice to have

• Experience building integrations with third-party platforms, including web scraping or browser automation.
• Experience in food delivery, marketplaces or restaurant tech.
• Experience with Pulumi, Pub/Sub or Datadog.

What we offer

• Competitive compensation aligned with market standards.
• A remote work culture with full flexibility.
• The chance to shape a category-defining food tech platform at an early stage.
• Work directly with the founders on high-impact problems.
• A modern, AI-native engineering setup, and a culture of learning, ownership and continuous growth.

How we hire

1. Intro call: a conversation about your background, plus a short product scenario.
2. Take-home case study: a practical task close to our real work. AI tools are welcome; we care about your judgment and how you use them.
3. Technical debrief: we walk through your solution together and make a change live.
4. Founder round: ownership, product thinking and mutual fit.

How to apply

Send your CV and a few lines on one system you built and ran: what you owned, what broke, what you changed and why that makes you a great fit for Slyce to alvaro@slyce.io.

Let's create something extraordinary together!

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