Staff Software Engineer — DevPlatform (Java, AWS)
Duettoresearch
What this role requires
2 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: AWS, Kinesis, SQS, SNS, Spring Cloud Stream, GraphQL, MongoDB, Redis, PostgreSQL, OpenTelemetry, Datadog, Prometheus, Grafana, Sentry, Claude Code, Claude MPM, MCP. Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open backend roles in Europe.
Free, no card. Tells you which of them your CV evidences and which it only implies.
Job description
Duetto's core Java/Spring platform processes millions of rate decisions daily across thousands of hotels worldwide — and this role owns its architecture and evolution. As Staff Software Engineer on the Dev Platform team, you'll drive domain decomposition, define service boundaries, and lead the modernisation of a high-throughput, multi-tenant system that sits at the heart of everything Duetto ships. You'll also be at the frontier of how AI-augmented engineering works in practice — pioneering workflows using Claude Code, Claude MPM, and Duetto's in-house MCP server platform across US and European engineering teams.
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 the architecture and technical roadmap of Duetto's Java/Spring monolith — driving domain decomposition, defining service boundaries, and leading platform modernisation initiatives that improve modularity, reliability, and developer experience at scale.
You'll design and build event-driven data flows using AWS Kinesis, SQS/SNS, and the Spring Cloud Stream processing framework, and improve the GraphQL API layer and backend services powering hotel pricing, inventory, and demand management across 80+ PMS/CRS integrations.
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You'll operate and tune MongoDB, Redis (Redisson), and PostgreSQL for performance and reliability in a high-throughput, multi-tenant environment — and strengthen platform observability through OpenTelemetry, Datadog, Prometheus, Grafana, and Sentry instrumentation.
You'll pioneer AI-augmented engineering workflows using Claude Code, Claude MPM, and Duetto's in-house MCP server platform (82+ tools) — setting the standard for how AI-assisted development works across US and European engineering teams.
You'll drive architecture decisions through design docs and RFCs, establishing patterns for schema evolution, contract testing, and observability across the platform — influencing technical direction without needing formal authority to do it.
You'll mentor engineers across US and EU teams, raising the bar for code quality, system design, and technical standards in a globally distributed engineering organisation.
What We're Looking For
You may be a good fit if you have:
7+ years building production backend systems at scale
Deep expertise in Java — Spring Framework, Gradle, and JVM performance tuning
Production experience with event-driven architectures — AWS Kinesis, Kafka, or equivalent
Strong system design fundamentals: domain decomposition, modularity, schema evolution
AWS production experience across EKS/ECS, S3, SQS/SNS, and IAM
A demonstrated track record of driving architecture decisions and authoring design docs without formal authority
Strong candidates may also have:
Working proficiency in Python for tooling, automation, or data workflows
Experience with MongoDB at scale — indexing, aggregation pipelines, sharding
Hands-on experience with AI-assisted development: LLM coding agents, prompt engineering, or MCP tooling
Experience evolving large monoliths toward modular or service-oriented architectures
Familiarity with the hospitality domain — PMS/CRS systems, rate management, or demand forecasting
Why Duetto?
Real platform ownership at scale. This is a Staff-level IC role with genuine architectural authority over a system processing millions of rate decisions daily — the scope and the stakes are real.
AI-augmented engineering at the frontier. With Claude Code, Claude MPM, and 82+ in-house MCP tools already in production, you'll be pioneering what AI-first platform engineering looks like — not experimenting with it in isolation.
A technically consequential modernisation. The monolith-to-microservices migration is live and the platform is in motion — you'll be making architectural decisions that shape how Duetto builds software for years.
Cross-continental technical influence. You'll mentor and set standards across US and European engineering teams — Staff-level impact without the management overhead.
Modern stack at real scale. Java/Spring, AWS Kinesis, MongoDB, OpenTelemetry, Terraform, Datadog — tools selected for the problem, used on systems that matter.
The Details
Location: Remote (Croatia)
Team: Dev Platform
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 a hospitality background. If you're a deep Java systems engineer with strong architectural instincts, event-driven experience, and genuine excitement about AI-augmented development at scale — we'd love to hear from you.
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