This is a high-bar IC role on a team building Data APIs, custom visualisations, and AI products that sit at the core of how hoteliers understand and act on their revenue data. You'll work across the full stack — from problem discovery with Product through to production monitoring — and you'll bring the engineering judgment to navigate legacy code, build new systems when needed, and raise the bar for the engineers around you. We care more about how you think than which languages you've used, though Java proficiency is required.

What Makes Us Different?

Duetto is the hospitality industry's leading revenue management platform, founded in 2012 by former Wynn Resorts executives who knew the industry needed better technology. We built the world's first Revenue & Profit Operating System — a suite of tools (GameChanger, ScoreBoard, BlockBuster, Advance and more) that goes beyond room pricing to give hotels, resorts and casinos a complete picture of their revenue and profitability. Trusted by clients ranging from independent boutique hotels to global chains, we've been named the #1 Revenue Management Software by HotelTechAwards four years running and the #1 Best Place to Work in Hotel Tech in 2025. Backed by GrowthCurve Capital since 2024, we're accelerating our investment in AI — and we're genuinely passionate about the industry we serve. We build products we're proud of, for customers we care about.

What You'll Be Doing

• You'll build and ship full-stack features end-to-end — from understanding the problem with Product, breaking down PRDs into well-scoped work, thinking through edge cases before code is written, all the way through to production monitoring and support.
• You'll experiment with AI-assisted workflows across the development lifecycle — from PRD to tickets to implementation — and push what's possible with AI development tooling in a team that takes this seriously.
• You'll navigate and improve legacy code with care and judgment — understanding what's there, why it exists, and how to move it forward safely without creating downstream risk.
• You'll build new systems from scratch when the problem calls for it, bringing strong systems thinking to every decision about how components fit together, how data flows, and where trade-offs matter.
• You'll develop deep fluency in Duetto's data and the hospitality domain — using that understanding to make better product and technical decisions, not just implement requirements.
• You'll mentor engineers through pairing, code review, and the kind of day-to-day craft conversations that raise the bar for how the whole team works.

What We're Looking For

You may be a good fit if you have:

• Demonstrated seniority in full-stack software engineering with production experience across both backend and frontend layers
• Experience as technical lead on multiple projects that shipped to production
• Experience mentoring engineers and raising team-wide engineering quality
• Hands-on experience with AI development tools and a genuine drive to push what's possible with them
• Strong proficiency in Java
• Frontend capability — not expected to be a specialist, but able to ship frontend work independently
• Experience building and maintaining Data APIs
• Proficiency with SQL and NoSQL databases
• Strong systems thinking — you understand how components fit together, how data flows, and where trade-offs matter
• A background in B2C products with strong UX sensibility, or substantial enterprise software experience

Strong candidates may also have:

• Experience with React, TypeScript, and GraphQL
• Familiarity with AWS
• Experience with data modelling and complex, domain-specific data models
• Enterprise and SaaS software background
• Hospitality technology industry experience

Why Duetto?

• AI-first engineering, for real. This team is actively experimenting with AI-assisted workflows across the entire development lifecycle — you won't just be using Copilot to autocomplete, you'll be pushing what AI-augmented development actually means in practice.
• Work that requires genuine domain depth. The Detect & Explore team builds products that help hoteliers understand and act on complex revenue data — the problems are interesting, the data is rich, and the domain rewards curiosity.
• Staff-level ownership. This is a high-autonomy IC role with real technical influence — you'll shape how the team works, mentor engineers, and make architectural decisions that matter.
• Full-stack scope with a high UX bar. Whether your background is B2C or enterprise, you'll be building products where the quality of the end-user experience is taken seriously — not an afterthought.
• A team that cares about craft. Low ego, high standards, and genuine investment in how engineers grow — the kind of environment where Staff engineers thrive.

The Details

• Location: Remote (Croatia)
• Reporting Line: Director of Engineering

Duetto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Sound like you?

You don't need to have worked in hospitality or checked every box above. If you're a strong full-stack engineer with genuine technical leadership experience, a curiosity for hard data problems, and a drive to work at the frontier of AI-augmented development — we'd love to hear from you.

#LI-REMOTE

he Gaming Integrations team is at an inflection point. We operate ~26 provider integrations across three runtimes (Elixir, Node.js, Erlang) and are the critical path for Superbet entering new markets.

This role is a key part of our capacity plan. You'll join a small but high-impact team and immediately contribute to real challenges: rebuilding our game platform into a scalable, multi-studio platform, and accelerating integration delivery so Superbet launches in new countries faster.

What You'll Be Working

• Elixir platform migration: Contributing to the migration of our Node.js/Erlang integrations to the new Elixir-based platform. Feature parity across runtimes is a blocker for many localizations today.
• Game Studio Integrations: Owning the full lifecycle of new provider integrations (launchUrl, authenticate, balance, debit, credit, void) from implementation through production sign-off.
• Platform architecture: Implementing CI/CD pipelines, shared services, and the modular architecture needed to support multiple exclusive gaming studios at scale.
• Operational excellence: Keeping KTLO (keeping the lights on) under 10% of team capacity while maintaining high availability across all 26+ live integrations.

What We Expect

Project Impact

• Consistently high productivity across many concurrent projects, and delivers large scope with quality and mature practices
• Proactively identifies problems and drives resolution, often without guidance
• Leads larger projects or small squads, runs meetings, writes status reports, tracks delivery
• Helps make the people around them move faster by identifying what's slowing the team down
• Demonstrates impact clearly through metrics, not just activity

Engineering Excellence

• Takes end-to-end ownership of product quality: reliability, efficiency, security, and performance
• Drives engineering efficiency improvements across the org (faster onboarding, better tooling, reduced cycle time)
• Becomes the established go-to owner of at least one component or system with expert depth
• Advocates for rapid prototyping and data-driven idea validation
• Develops and tracks metrics that quantify product quality and engineering efficiency

Communication & Collaboration

• Builds working relationships cross-functionally (product, SRE, QA, integration managers, gaming studios)
• Proactively seeks and acts on feedback
• Gives detailed, specific positive and constructive feedback to the Tribe lead and teammates
• Facilitates fast learning cycles and nurtures innovation within the team

Organizational Impact

• Actively mentors less-experienced engineers and creates conditions for them to grow
• Participates in recruiting and interviewing (especially for diversity recruiting)
• Onboards new team members and makes codebases easy to ramp up on
• Invests in their own skills and brings new knowledge back to the team (currently relevant: Elixir, Kafka operations, distributed systems at scale)

What We're Looking For

• MUSTs
  • High agency — proven track record of unblocking themselves and helping drive improvements across a team
  • Experience with microservice and event-based architectures
  • Experience with Kafka (operating Kafka in production is a strong bonus)
• Experience
  • 5+ years building high-quality software with strong engineering practices (code reviews, CI/CD, design docs)
  • Experience building highly-available, highly-scalable, distributed backend systems
  • Worked cross-functionally in product organizations alongside product managers, designers, and stakeholders
• Technical
  • Node.js / TypeScript
  • Kafka
  • Elixir or functional programming experience — strong bonus (our strategic direction)
  • Kubernetes, Docker, AWS
  • Experience in the betting or gaming industry
• Cultural & Behavioral
  • Strong collaborator — not a solo player, not an asshole
  • Product engineer mindset — not purely tech-focused, understands business context
  • Strong sense of ownership and problem-solving instinct
  • Clear, direct communication

Why Join Us

• T-shaped team where engineers contribute across the full stack and influence technical direction
• Fully remote, team distributed across Europe
• Partner directly with exclusive Game Studios building casino content for Superbet
• Lead and mentor in a small team with high visibility and real ownership
• High-revenue, high-stakes domain with real business impact
• Help steer the technical strategy of a growing team

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

Staff Software Engineer — Data Platform (Europe)

This is a rare role for an engineer who's genuinely comfortable on both sides of the stack — reading Java Spring Boot services in the morning and writing PySpark pipelines in the afternoon. You'll own the end-to-end data flow that sits behind every pricing decision Duetto makes for thousands of hotels worldwide, bridging our Java core platform and Python data layer while working in an engineering culture where AI is already how the work gets done.

What Makes Us Different?

Duetto is the hospitality industry's leading revenue management platform, founded in 2012 by former Wynn Resorts executives who knew the industry needed better technology. We built the world's first Revenue & Profit Operating System — a suite of tools (GameChanger, ScoreBoard, BlockBuster, Advance and more) that goes beyond room pricing to give hotels, resorts and casinos a complete picture of their revenue and profitability. Trusted by clients ranging from independent boutique hotels to global chains, we've been named the #1 Revenue Management Software by HotelTechAwards four years running and the #1 Best Place to Work in Hotel Tech in 2025. Backed by GrowthCurve Capital since 2024, we're accelerating our investment in AI — and we're genuinely passionate about the industry we serve. We build products we're proud of, for customers we care about.

What You'll Be Doing

• You'll own data pipelines from source to gold — taking data from MongoDB, Kinesis events, RabbitMQ, and PMS/CRS integrations through the full bronze → silver → gold lakehouse architecture, including Iceberg-based ingestion patterns for both batch and near-real-time workloads.
• You'll build connectors and transformations for new data sources — Salesforce, Amadeus, Expedia, and internal platform events — expanding the reach and reliability of the data layer the whole product depends on.
• You'll work across system boundaries: reading Kinesis event schemas and MongoDB data models in the Java platform, then applying that understanding in the Python pipeline codebase — driving schema evolution strategies, data contract enforcement, and backward compatibility across both worlds.
• You'll drive data quality and governance — extending Great Expectations and Data Contract CLI across pipeline tiers, owning Athena views and SQL assets, and building monitoring and alerting for pipeline health, data freshness, and quality drift.
• You'll partner with DevPlatform on event schema design and with data science to operationalise ML workloads, ensuring clean data handoffs across every system boundary.
• You'll work AI-first every day — using Claude Code and MCP tools as a core part of your workflow, contributing to AI-assisted pipeline scaffolding and data discovery tooling alongside a custom multi-agent system built around 17 specialised agents.

What We're Looking For

You may be a good fit if you have:

• 7+ years building production data or backend systems
• Strong proficiency in both Python (PySpark, data engineering) and Java — you can read and navigate Spring/JVM codebases comfortably, not just Python
• Experience with lakehouse or data warehouse architectures on cloud — Iceberg, Delta Lake, Redshift, BigQuery, or Snowflake
• Production experience with AWS data services: Glue, Athena, S3, Lambda
• Experience with workflow orchestration — Airflow, Kestra, Step Functions, or similar
• The ability to work across system boundaries: you understand upstream event schemas, data models, and downstream consumer needs

Strong candidates may also have:

• Hands-on experience with Apache Iceberg — MERGE operations, schema evolution, partition evolution
• Experience with Trino or Presto for federated or interactive SQL analytics at scale
• Experience with dbt for data transformation, modelling, and testing
• Familiarity with data quality frameworks — Great Expectations, Monte Carlo, or similar
• A background in event-driven architectures: Kinesis, Kafka, SQS
• Genuine interest in AI-assisted development and LLM-based engineering workflows
• Familiarity with the hospitality domain or multi-tenant B2B SaaS data challenges

Why Duetto?

• AI-first is the reality, not the roadmap. Every engineer uses Claude Code daily, and you'll be contributing to a custom multi-agent system with 17 specialised agents, human-in-the-loop approval gates, and AI-assisted pipeline generation. This is what modern data engineering looks like.
• Cross-cutting technical ownership. This isn't a siloed data role — you'll operate across Java upstream systems and Python pipelines, with real architectural influence over how data flows through the entire platform.
• The scale and the stakes are real. Millions of pricing decisions processed daily, 80+ integration partners, and a live evolution toward near-real-time streaming. The technical challenges are genuine.
• A team with the right values. Low ego, high EQ, intellectual curiosity, and active mentorship in both directions across a collaborative US and Europe group.
• Modern stack at real scale. Python/PySpark, Apache Iceberg, Airflow, AWS Glue, Terraform, Datadog — tools that matter, used on problems that matter.

The Details

• Location: Croatia (Remote)
• Team: Data Platform
• Direct reports: None
• Travel: None

Duetto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Sound like you?

You don't need to be an expert in every technology on this list. If you're a strong engineer who spans Java and Python, cares about data quality, and wants to work somewhere AI is genuinely part of how you build — we'd love to hear from you.

#LI-REMOTE

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

About Vumedi:

Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia.

We're hiring a Principal Software Engineer to lead the development of our digital platform and products at this critical stage of Vumedi’s growth. 

Why join Vumedi right now?

• Build technology that matters in a fast-scaling Silicon Valley digital healthcare company: Your work directly impacts how doctors across the world learn and make decisions that save lives.
• Grow as we grow: Be part of a company in an accelerated growth phase, where expanding teams, products, and markets create real opportunities for ownership, leadership, and career progression.
• Build with AI: Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how AI transforms medical knowledge delivery.
• Own your craft end-to-end: Take full responsibility for building systems that scale globally and power mission-critical workflows.
• Collaborate globally: Join a world-class team of passionate engineers on modern tech stack which will further drive your career development.
• Have real product impact: Influence the direction of product development by collaborating closely with product and leadership teams.

About the role:

We’re looking for a Principal Engineer / Product Architect to lead the next evolution of Vumedi’s product architecture and technical direction. This is a hands-on, high-impact role - shaping how millions of doctors discover, learn, and collaborate through intelligent, scalable systems.

You’ll be both architect and builder, working directly with the CTO and engineering leaders across our US and Croatia teams to bring ambitious ideas from prototype to production.

What you’ll do: 

• Architect the future of Vumedi’s platform - from scalable video systems to AI-powered content discovery and personalized learning experiences.
• Prototype and build AI workflows and agents powered by LLMs (Large Language Models) to transform how doctors interact with knowledge, surface insights, and discover content.
• Work closely with Product, Data, and AI teams to build, deploy, and monitor intelligent services (classification, search relevance, personalization, summarization).
• Define architectural standards across backend, frontend, and infrastructure layers - ensuring reliability, maintainability, and scalability.
• Partner with engineering leadership to drive system migrations and modernization (Python/Django backend, React frontend, AWS infrastructure).
• Mentor engineers across pods and raise the technical bar through design reviews, prototypes, and shared best practices.
• Lead technical exploration of new tools - from vector databases and RAG frameworks to real-time video personalization - to keep Vumedi on the edge of applied AI.

This role is ideal for someone who loves to zoom out on system architecture and zoom in on code - someone who can imagine what Vumedi’s platform looks like in five years, then open their editor and start building it.

Who you are:

• 9+ years of experience building and scaling software systems, ideally in consumer, data, or AI products.
• Proven success as a Principal Engineer, Staff Engineer, or Architect leading major system designs end-to-end.
• Expertise in designing distributed systems and cloud architectures on AWS (EC2, Lambda, S3, CloudFront, ECS, RDS, etc.).
• Experience with LLMs, AI agents, or AI-enabled workflows — building, integrating, or orchestrating intelligent systems.
• Strong understanding of data modeling, API design, caching, and asynchronous event-driven systems.
• Passion for hands-on prototyping and bridging product ideas with technical feasibility.
• Clear communicator who thrives in cross-functional settings and mentors others through influence, not authority.
• Nice to have: familiarity with Django or other modern Python web frameworks, as well as familiarity with React and modern JavaScript/TypeScript stacks.

You can expect:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, unique relevant experience, and job-related skills.

Cash salary is but one component of our compensation package. It’s inclusive of base salary, education budget, supplemental health insurance, free meals allowance, work from an alternative workplace allowance, occasional awards - Christmas bonus, and an annual bonus.

We also offer stock options as part of our compensation package, giving you the opportunity to share in the long-term success and growth of the company.

This is a hybrid role, working 3 days a week (Monday, Wednesday, and Friday) in our Zagreb office.