Hotel Trader
Overview
We're looking for hands-on technical leaders to join as Staff or Principal Engineers, builders who can lead by doing. You'll be the backbone of architectural decisions, drive scalability across domains, and solve complex distributed systems problems while mentoring teams through execution. Each Staff/Principal Engineer is expected to own multiple initiatives or projects end-to-end, from design to rollout, working collaboratively across teams to drive business and technical outcomes. Technical Leadership and Architecture
Drive system design, platform architecture, and self-serve engineering capabilities across high-scale microservices and real-time data pipelines. Build scalable and resilient systems using Java (Spring Boot), Event-Driven Architectures, and NoSQL (ScyllaDB/MongoDB). Solve real-time, high-throughput challenges across search, pricing, availability, and booking workflows. Project Ownership and Delivery
Own end-to-end delivery of critical initiatives, from scoping and design to deployment and scaling. Lead and manage multiple projects simultaneously, accountable for quality, performance, and timelines. Lead by example as a hands-on developer, picking up the most complex pieces and turning ambiguity into working software. Collaboration and Innovation
Embrace an AI-powered development methodology (Claude, Cursor) to increase product release velocity and build accuracy. Collaborate across teams (Product, Infrastructure, Data, Architects) with a mindset of ownership and partnership. Conduct rigorous design and code reviews with attention to clean code, performance, and maintainability. Requirements
7-12 years of backend development experience with deep focus on Java (Spring Boot, Hibernate). Proven track record in owning systems, influencing architecture, and delivering critical projects independently or in small teams. Technical Expertise
Distributed Systems: Event-driven architectures, SQS/Kinesis, backpressure, and fault tolerance. Database Systems: ScyllaDB, MongoDB, or other NoSQL databases. Performance Engineering: Performance profiling, memory management, and latency optimizations. Systems Design: Deep understanding of consistency models, circuit breakers, low-latency design, and platform reliability. Leadership and Culture
Experience driving an automation-first culture, building tools, frameworks, or internal platforms. Familiarity with observability tools: Grafana, Prometheus, CloudWatch. Goal-driven professional who focuses on driving measurable results and can effectively prioritize activities that directly contribute to business objectives. Self-starter, go-getter, and problem solver with a growth mindset. Comfortable in remote-first, async, and ownership-heavy environments. Nice to Have
Experience with LLM pipelines, RAG, or agentic AI workflows. Exposure to Databricks, Spark, or other large-scale data processing frameworks. Experience building internal platforms or golden paths to accelerate engineering teams. Knowledge of React or full-stack systems. Prior experience in B2B marketplaces or travel-tech. Tech Stack
Backend and Infrastructure: Java (Spring Boot), Microservices, AWS ECS, Redis, ScyllaDB, MongoDB, GraphQL, Kafka, SQS, MySQL, Aurora. Platform and DevOps: AWS, GitHub Actions, CI/CD, Docker, IAM, Cognito. Data and AI: Databricks, Spark, Kinesis, Claude, Cursor, LangChain, RAG pipelines. Observability: Prometheus, Grafana, CloudWatch. Engineering Excellence: JVM tuning, GC profiling, circuit breakers, Async tracing, developer tooling, self-serve platforms.
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We're looking for hands-on technical leaders to join as Staff or Principal Engineers, builders who can lead by doing. You'll be the backbone of architectural decisions, drive scalability across domains, and solve complex distributed systems problems while mentoring teams through execution. Each Staff/Principal Engineer is expected to own multiple initiatives or projects end-to-end, from design to rollout, working collaboratively across teams to drive business and technical outcomes. Technical Leadership and Architecture
Drive system design, platform architecture, and self-serve engineering capabilities across high-scale microservices and real-time data pipelines. Build scalable and resilient systems using Java (Spring Boot), Event-Driven Architectures, and NoSQL (ScyllaDB/MongoDB). Solve real-time, high-throughput challenges across search, pricing, availability, and booking workflows. Project Ownership and Delivery
Own end-to-end delivery of critical initiatives, from scoping and design to deployment and scaling. Lead and manage multiple projects simultaneously, accountable for quality, performance, and timelines. Lead by example as a hands-on developer, picking up the most complex pieces and turning ambiguity into working software. Collaboration and Innovation
Embrace an AI-powered development methodology (Claude, Cursor) to increase product release velocity and build accuracy. Collaborate across teams (Product, Infrastructure, Data, Architects) with a mindset of ownership and partnership. Conduct rigorous design and code reviews with attention to clean code, performance, and maintainability. Requirements
7-12 years of backend development experience with deep focus on Java (Spring Boot, Hibernate). Proven track record in owning systems, influencing architecture, and delivering critical projects independently or in small teams. Technical Expertise
Distributed Systems: Event-driven architectures, SQS/Kinesis, backpressure, and fault tolerance. Database Systems: ScyllaDB, MongoDB, or other NoSQL databases. Performance Engineering: Performance profiling, memory management, and latency optimizations. Systems Design: Deep understanding of consistency models, circuit breakers, low-latency design, and platform reliability. Leadership and Culture
Experience driving an automation-first culture, building tools, frameworks, or internal platforms. Familiarity with observability tools: Grafana, Prometheus, CloudWatch. Goal-driven professional who focuses on driving measurable results and can effectively prioritize activities that directly contribute to business objectives. Self-starter, go-getter, and problem solver with a growth mindset. Comfortable in remote-first, async, and ownership-heavy environments. Nice to Have
Experience with LLM pipelines, RAG, or agentic AI workflows. Exposure to Databricks, Spark, or other large-scale data processing frameworks. Experience building internal platforms or golden paths to accelerate engineering teams. Knowledge of React or full-stack systems. Prior experience in B2B marketplaces or travel-tech. Tech Stack
Backend and Infrastructure: Java (Spring Boot), Microservices, AWS ECS, Redis, ScyllaDB, MongoDB, GraphQL, Kafka, SQS, MySQL, Aurora. Platform and DevOps: AWS, GitHub Actions, CI/CD, Docker, IAM, Cognito. Data and AI: Databricks, Spark, Kinesis, Claude, Cursor, LangChain, RAG pipelines. Observability: Prometheus, Grafana, CloudWatch. Engineering Excellence: JVM tuning, GC profiling, circuit breakers, Async tracing, developer tooling, self-serve platforms.
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