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Open nowPosted 25 hours ago

Staff Engineer

Valsea Technology3 open roles

Where
Marbella, Spain
Work mode
Remote
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Your applicationOpen nowStaff EngineerValsea Technology · Marbella, Spain

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted 25 hours ago

The posting

Valsea - Where Innovation Meets Entertainment

At Valsea, we’re shaping the future of entertainment with immersive, engaging experiences that captivate players worldwide. Based in sunny Marbella, Spain, our vibrant open-space office is home to an international team of developers, marketers, product owners, and much more.

Valsea operates a leading scalable technology platform, 100% owned by us. This gives us the freedom to deliver results fast. We integrate selected outside companies into our ecosystem to ensure we provide fresh and vibrant products for our customers.

We work in a fast-paced environment, creating new brands, maintaining and improving our tech stack, launching leading acquisition and retention campaigns, and developing fresh features. Our ethos is simple - be best-in-class in everything we do.

Despite our rapid growth, Valsea still has that exciting start-up feel. We embrace a hybrid working model to balance professional growth with personal well-being. With a dynamic work environment, attractive salary, and a culture that thrives on collaboration, our power is our people.

We provide company laptops and other things you may need to work comfortably. Remote workers are always invited to our annual company trip and other team events. Ready to be part of something exciting?

What are we looking for now?

A Staff-level engineer who has done this before: someone who can walk into a mature, high-scale platform, understand where AI genuinely moves the needle versus where it's just noise, and lead the engineering work to get it done. You're comfortable being the most senior technical voice in the room, but you'd rather be pairing with an engineer on a gnarly integration than sitting in a strategy deck all day. You think in systems, not scripts: production reliability, data quality, and security aren't afterthoughts to you, they're the job.

This isn't a research role. It's a build role, with the freedom and seniority to also set direction.

What You'll do:

  • Own the technical strategy and roadmap for AI adoption across Valsea's product, platform, and internal tooling, grounded in what's actually feasible on our stack, not slideware.
  • Architect and lead the delivery of AI-powered capabilities into our Scala/Go/Kafka backend, from recommendation and personalisation to support/fraud/risk signals, agentic automation, and internal developer tooling.
  • Set the vision and roadmap for agentic QA automation (using AI agents to expand test coverage, catch regressions earlier, and reduce manual QA load) and for AI-accelerated support and incident response that cuts time-to-detect and time-to-resolve.
  • Introduce AI tooling at the root of our SDLC pipelines (GitHub/GitLab: code review, testing, deployment gates), so AI assistance is built into how the team ships, not bolted on afterward.
  • Evaluate and integrate LLM and ML infrastructure (self-hosted and API-based), making pragmatic build-vs-buy calls that respect our scale, latency, and cost constraints.
  • Set Product Development standards for how AI features get designed, tested, monitored, and rolled back. Model-driven systems should meet the same rigour as any other production service.
  • Partner directly with Engineering leadership, Product, and Data to identify where AI creates real player or business value, and turn that into a delivery plan.
  • Act as a technical multiplier: mentor senior and mid-level engineers and managers, run design reviews, and raise the technical bar for how the wider team thinks about AI-assisted and AI-driven systems.
  • Stay hands-on: prototype fast, get into the codebase, and unblock hard integration and performance problems yourself when it matters.

What You'll bring:

  • 5+ years of software engineering experience, including significant time in the JVM/Scala ecosystem (or a comparably strong background in a statically-typed, distributed-systems-heavy language) plus proven Staff/Principal-level scope: setting technical direction, not just executing it.
  • Hands-on experience shipping AI/ML-powered features into production at real scale, with real users: LLM integration, recommendation systems, applied ML, or agentic infrastructure.
  • Deep comfort with event-driven, distributed architectures (Akka/Pekko, Kafka or equivalent); you understand the failure modes, not just the happy path.
  • Strong, hands-on experience with distributed systems and container orchestration: Kubernetes, Docker, and the operational patterns that come with running them at scale.
  • A track record of making sound build-vs-buy and platform decisions, including around cost, latency, data privacy, and vendor risk for AI systems specifically.
  • Product-minded: you think in terms of player impact and business outcomes, not just technical elegance.
  • A strong communicator who can move fluidly between a whiteboard architecture discussion with engineers and a plain-language case for leadership.
  • You thrive in ambiguity: this role starts with a mandate, not a spec, and you'll help write the spec.
  • Proficiency in professional-level English communication, written and verbal.

Nice to have:

Please note, these aren't requirements, just things we think would be particularly valuable. If anything or everything here doesn't apply to you, please don't let that put you off applying.

  • Good domain knowledge of entertainment or another regulated, high-throughput consumer platform is recommended.
  • Experience with CRM and marketing automation platforms.
  • Background running or scaling self-hosted AI/LLM infrastructure and observability.
  • Exposure to fraud detection, risk scoring, or trust & safety systems.
  • Experience introducing AI tooling into an engineering organization's own workflows (dev tooling, code review, incident response), not just into the product.
  • Modern MLOps/LLMOps practices and tooling.

What We offer:

  • Hybrid working model from our office in Marbella (3 days/week) or fully remote (EU)
  • Innovative international company that uses cutting-edge tech equipment
  • Collaborative teams and agile multicultural environment
  • Competitive salary with flexible working hours
  • 23 paid vacation days + public holidays
  • Private health insurance for you and your family
  • Free Online English/Spanish lessons
  • Corporate events throughout the year
  • Ongoing learning and professional development opportunities

In-office perks such as:

  • Daily breakfast and freshly cooked lunch 3 days a week
  • 50% discount on personal training sessions and physiotherapy sessions
  • Games room, full kitchen with hot drinks, fruit, soft drinks
  • Gym, massage room and much more

At Valsea, we want diversity and inclusion in an environment where unique perspectives and new talents thrive. Join us in creating a workplace where everyone can shine and contribute to our collective success. Protecting your privacy and data security is a longstanding top priority for Valsea. Please consult our Privacy Notice (https://valsea.teamtailor.com/data-privacy) to learn more about how we collect, use and transfer the personal data of our candidates.

We’re a diverse team with great people from across the world. This position is available both as a hybrid position in Marbella (Spain) or as a fully remote position from inside the EU. Please note that we are unable to sponsor work visas outside the EU.

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