Who we are

Yubo is the instantly social, social app: the leading real-time social discovery platform where you can meet new people for friendship, crushes and community. Our mission is to help young adults find community - whoever they are, wherever they are and whenever they feel social. That's why we’re building a more spontaneous and human social world, one based on interaction, exploration and possibility.

We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow. Our team is international, multicultural and deeply committed to its mission.

As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education.

We also work closely with the broader technology industry to share our knowledge and NGOs create industry-leading child protection standards.

Join us in this exciting journey and help us shape the future of social interactions!

About this role

As Yubo continues to scale and roll out its 2026 Tech organization, we’re launching a brand new Innovate squad focused on bold product bets and high-risk initiatives.

This squad’s mission?

Make big bets, test ambitious features, and validate them through continuous experimentation.

We’re looking for a Senior Backend Engineer to join our Backend Experience team, reporting directly to Armand (Engineering Manager).

You will be embedded in a multi-disciplinary squad (Product, Mobile, Design, Data) alongside one Senior Backend Engineer, co-lead of the squad.

Your role?

Design, ship, and operate high-risk backend experiments that validate bold product bets, while keeping systems resilient, scalable, and cost-efficient within a fast iteration cycle.

This is not a “maintenance” role.

It’s about building, testing, rolling back, iterating and learning fast.

Your responsibilities

Experiments & Product Bets

Design and deliver backend capabilities from specs to production rollout/rollback.

Define and instrument success metrics with cross-functional partners.

Iterate quickly based on experiment results (KPIs, dashboards, quantitative signals).

Architecture & Operability

Build resilient, scalable, and cost-efficient systems adapted to high-risk experimentation.

Diagnose and fix complex production issues using logs, metrics, and observability tools.

Anticipate operational impact (deployment, rollback, monitoring, cost).

Standards & Knowledge Sharing

Strengthen team-level best practices and reusable patterns.

Contribute to documentation, RFCs, and internal usability of squad-owned systems.

Mentor peers through code reviews and pairing (mentorship is a plus, not mandatory).

Our technical environment / Tools we use

Backend: Node.js & TypeScript

Architecture: Event-driven systems (Kafka, RabbitMQ, NATS)

Databases: NoSQL, key-value stores, relational databases

Observability: Datadog, Grafana

Practices: RFC processes, technical specs, structured decision-making

Who you are

You have 5+ years of backend experience, ideally in startup/scale-up environments.

You are proficient in Node.js and TypeScript.

You have solid experience designing APIs (performance, security, observability).

You have worked with event-driven systems (Kafka, RabbitMQ, NATS).

You apply strong engineering best practices (testing, code quality, resilience).

You have a product mindset and enjoy collaborating closely with Product.

You communicate clearly and can explain complex technical topics to non-technical stakeholders.

You are comfortable working in English in an international environment.

Nice to have:

Experience in scalable architecture design.

Experience mentoring peers.

Familiarity with RFC-style structured decision-making.

In your first 6 months, you will

Ship at least one high-risk, country-scoped backend experiment end-to-end, including safe rollout/rollback and measurable success metrics

Establish lightweight, reusable experimentation patterns (instrumentation, dashboards, operability guardrails).