At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Senior Security Operations Engineer:** We are seeking a hands-on Senior Security Operations Engineer to operate and improve key enterprise security platforms across endpoint, server, network, and secure access environments. This role will work closely with infrastructure, network, IT, and engineering teams to strengthen security operations, improve service reliability, and drive automation across critical security technologies. **Key Responsibilities:** * Design, build, and optimize CrowdStrike across user devices and server environments; define and enforce sensor policies, detection tuning, and response playbooks. * Administer and support Zscaler ZIA, ZDX, and ZPA. Manage policy lifecycles, tunnel configurations, app connector health, and user experience monitoring. * Troubleshoot and resolve issues related to network connectivity, VPN, secure access, and SASE services. * Support security operations activities, incident handling, and root cause analysis across managed platforms. * Use APIs and scripting to automate routine tasks, reporting, and platform integrations. * Deploy and manage security platform configurations through Terraform and CI/CD pipelines, following IaC best practices and change management processes. * Apply generative AI use cases to improve operational workflows, troubleshooting, and team productivity. **Required Skills and Experience:** * 7+ years of experience in security operations, endpoint security, network security, or security engineering roles. * Hands-on experience with CrowdStrike for both user devices and servers. * Strong knowledge of Zscaler ZIA, ZDX, and ZPA or other SASE solutions. * Experience in troubleshooting network, VPN, and SASE-related issues in enterprise environments. * Familiarity with APIs, scripting, Terraform, and CI/CD pipelines. * Strong problem-solving skills and the ability to collaborate across multiple technical teams. #### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.

About the role We are looking for a talented and motivated DevOps Engineer to join our team. In this role, you will be responsible for managing and optimizing our continuous integration and continuous deployment (CI/CD) processes, ensuring seamless software delivery and infrastructure management. You will collaborate with cross-functional teams to enhance our development and deployment processes, contributing to the overall efficiency and effectiveness of our software development lifecycle. Job Description * Infrastructure as Code: Design, implement, and maintain infrastructure using tools like Terraform, CloudFormation, or Ansible to manage cloud and on-premises resources. * CI/CD Pipelines: Develop, manage, and improve CI/CD pipelines using tools such as Jenkins, GitLab CI to ensure reliable and efficient software delivery. * Automation and Orchestration: Automate repetitive tasks and streamline workflows using scripting languages like Python, Bash, or PowerShell. * Monitoring and Logging: Implement monitoring and logging solutions to ensure system health and performance, using tools like Prometheus, Telegraf, Grafana, ELK Stack. * Collaboration: Work closely with development, QA, and operations teams to ensure smooth software releases and effective communication. * Security: Integrate security practices into the DevOps processes, including vulnerability assessments, access control, and compliance with industry standards. * Incident Management: Troubleshoot and resolve issues related to application and infrastructure performance, ensuring high availability and reliability. * Cloud Services Management: Manage and optimize cloud services (e.g., AWS, Google Cloud) for performance, cost, and scalability. * Documentation: Maintain clear and comprehensive documentation for processes, systems, and procedures. Qaulifications * Education: Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience. * Experience: [Specify years of experience] years of experience in a DevOps or related role. * Proficiency in scripting languages (e.g., Python, Bash, Powershell). * Experience with infrastructure as code tools (e.g., Terraform, CloudFormation). * Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI). * Familiarity with containerization and orchestration (e.g., Docker, Kubernetes). * Strong understanding of cloud platforms (e.g., AWS, GCP). * Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). * Understanding of security best practices and tools. Preferred * Experience with serverless architectures and microservices. * Experience in a fast-paced, agile development environment. * Knowledge of network and security configurations in cloud environments. * Strong problem-solving skills. * Excellent communication and collaboration abilities. * Ability to work independently and in a team. * Certifications: e.g., AWS Certified DevOps Engineer, Google Professional DevOps Engineer are a plus.

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. We are looking for a hands on Senior Security Engineer to secure our cloud and platform environments. This role works closely with engineering teams and focuses on building, reviewing, and operating security controls using Infrastructure as Code, Kubernetes, and custom security services written in Go and TypeScript. **Key Responsibilities:** Secure Cloud Deployment: * Design, implement, and manage secure cloud deployments across AWS and GCP environments using Terraform. * Kubernetes & GitOps Security: Deploy and manage both internal and third‑party security products within the Kubernetes ecosystem. * Work with GitOps workflows using tools like Argo CD and Flux, and Helm charts. * Security Automation & Tooling: Design and build security tooling and services using Go and TypeScript. * Misconfiguration Management: Proactively identify, analyze, and remediate cloud misconfigurations. * Cloud Architecture Guidance: Provide guidance to Engineering teams on secure architecture. * Threat Detection & Response: Build and optimize cloud-native detection rules and alerting pipelines to monitor for suspicious activities within the cloud and container workloads. **Required Skills & Experience:** * 8+ years of experience in security engineering, cloud security, or platform engineering roles. * Hands-on experience securing production workloads in AWS and GCP. * Strong experience designing and securing Infrastructure as Code using Terraform. * Deep understanding of Kubernetes security, including troubleshooting Helm deployments and GitOps-based workflows. * Strong programming skills in Go and TypeScript, with Python used for automation where appropriate. * Experience embedding security controls into CI/CD pipelines. * Certifications (Required) Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKS) Certifications (Preferred) AWS Certified Security Specialty Google Professional Cloud Security Engineer HashiCorp Certified: Terraform Associate * Nice-to-Have Experience with Policy-as-Code frameworks such as Open Policy Agent (OPA). * Experience securing service mesh environments (Istio). Background in software engineering or platform engineering before moving into security.

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. We are looking for a hands on Senior Security Engineer to secure our cloud and platform environments. This role works closely with engineering teams and focuses on building, reviewing, and operating security controls using Infrastructure as Code, Kubernetes, and custom security services written in Go and TypeScript. **Key Responsibilities:** Secure Cloud Deployment: * Design, implement, and manage secure cloud deployments across AWS and GCP environments using Terraform. * Kubernetes & GitOps Security: Deploy and manage both internal and third‑party security products within the Kubernetes ecosystem. * Work with GitOps workflows using tools like Argo CD and Flux, and Helm charts. * Security Automation & Tooling: Design and build security tooling and services using Go and TypeScript. * Misconfiguration Management: Proactively identify, analyze, and remediate cloud misconfigurations. * Cloud Architecture Guidance: Provide guidance to Engineering teams on secure architecture. * Threat Detection & Response: Build and optimize cloud-native detection rules and alerting pipelines to monitor for suspicious activities within the cloud and container workloads. **Required Skills & Experience:** * 8+ years of experience in security engineering, cloud security, or platform engineering roles. * Hands-on experience securing production workloads in AWS and GCP. * Strong experience designing and securing Infrastructure as Code using Terraform. * Deep understanding of Kubernetes security, including troubleshooting Helm deployments and GitOps-based workflows. * Strong programming skills in Go and TypeScript, with Python used for automation where appropriate. * Experience embedding security controls into CI/CD pipelines. * Certifications (Required) Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKS) Certifications (Preferred) AWS Certified Security Specialty Google Professional Cloud Security Engineer HashiCorp Certified: Terraform Associate * Nice-to-Have Experience with Policy-as-Code frameworks such as Open Policy Agent (OPA). * Experience securing service mesh environments (Istio). Background in software engineering or platform engineering before moving into security.

The Corporate IT team supports internal employees by delivering seamless IT experiences and responsive helpdesk services. The Helpdesk Engineer implements IT operations according to policy and interprets technical issues on both system and user sides. The role involves providing day-to-day technical support for computers, network devices, and printers, as well as handling asset management and maintaining office network infrastructure. The position requires covering after-office hours and weekends for infrastructure issues.

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Get to Know Our Team** Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second r esponse times and a mesh of supplier payment options like virtual credit cards. It’s a hot field and the perfect mix of data engineering and backend engineering. **The Opportunity** In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights. **In This Role, You’ll Get to** * Think and own the full life cycle of our products, not just a single piece of code – from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring * Design, develop and maintain platforms and data pipelines across fintech * Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape * Write great code and help others write great code – mentor people in your team and wider * Collaborate with other teams and departments * Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn’t just managing tasks but inspiring innovation and driving vision into reality * Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals * Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent **What You’ll Need to Succeed** * **8+ years** of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture * Thinks in systems: their edge cases, failure modes, and life cycles * Uses a metrics driven approach and can make informed decisions using data * You are passionate about the craft of software development and constantly work to improve your knowledge and skills * Experience with Scrum/Agile development methodologies * Excellent verbal and written English communication skills * Experience with operational excellence and a deep understanding of metrics, alarms and dashboards **It’s Great If You Have** * Experience working in a modern FinTech or Payments organization * Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments * Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ) * Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes * Experience developing, maintaining and debugging large-scale distributed systems * Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved **This position is based in Bangkok, Thailand (Relocation Provided)**

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. In Agoda’s Back-End Engineering department, we build scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. We employ state-of-the-art CI/CD and testing techniques to ensure everything works without downtime. Our systems are self-healing, responding gracefully to extreme loads or unexpected input. We use modern languages like Kotlin and Scala, Data technologies Kafka, Spark, MLflow, Kubeflow, VastStorage, StarRocks and agile development practices. Most importantly, we hire great people from around the world and empower them to be successful. Agoda Platform team is looking for developers to work on mission-critical systems that serve millions of users daily. You will have the chance to work on innovative projects, using cutting-edge technologies, and make a significant impact on our business and the travel industry. What You’ll Need to Succeed * **10+ years** of experience developing performance-critical applications in a production environment using **Scala, Java, Kotlin**or relevant modern programming languages. * Strong RDBMS knowledge (SQL Server, Oracle, MySQL, or other). * Ability to direct significant company-wide projects and sets technical vision. * Good command of the English language. * Deeply involved in making architectural decisions, setting the standard and direction for the team. * Implement advanced CI/CD pipelines and robust testing strategies to ensure seamless integration, deployment, and high code quality. * Passion for software development and continuous improvement of your knowledge and skills. It’s Great if You Have * Knowledge in NoSQL, Queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), and Play framework. This position is based in Bangkok, Thailand (Relocation Provided)

**Roles and Responsibilities** * Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark. * Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud. * Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow. * Implement data security and compliance measures to protect data privacy and ensure regulatory compliance. * Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data. * Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team. * Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. * Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure. * Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python. * Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP. * Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink. * Knowledge of data modeling principles and experience working with SQL databases. * Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently. * Excellent communication and collaboration skills to work effectively with cross-functional teams.

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team? Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: * Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes * Able to analyze data to help us make better decisions * Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production * Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks * We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace What You’ll need to Succeed: * Bachelor’s degree in computer science/information systems/engineering/related field 6+ years of experience in software engineering with at least 4+ years in data/ml engineering * Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality * Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala * Expert in software design/design patterns/best practices, functional programming and object-oriented programming. * Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc. * Familiar with general Machine Learning concepts and common models – ie, regularization, Tree Models, etc * Familiar with statistical analysis concepts – ie, p-value, z-score, etc * Analytical problem-solving capabilities & experience. A strong data-driven engineering driven mindset will be required to succeed in this role. It’s great if you have: * Good understanding of Hadoop ecosystems and Big Data architecture and technologies * Experience with Scala/Scala Spark development * Working in an agile environment using test driven methodologies * Systems administration skills in Linux Benefits * Hybrid Working Model * WFH Set Up Allowance * 30 Days of Remote Working from anywhere globally every year * Employee discount for accommodation globally * Global team of 90+ nationalities * 40+ offices and 25+ countries * Annual CSR / Volunteer Time off * Benevity Subscription for employee donations * Volunteering opportunities globally * Free Headspace subscription * Free Odilo & Udemy subscriptions * Access to Employee Assistance Program (third party for personal and workplace support) * Enhanced Parental Leave * Life, TPD & Accident Insurance Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works. Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our [privacy policy](https://careersatagoda.com/privacy-statement). Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Apply Now Senior/Staff Data Engineer – Bidding (Bangkok based, relocation provided) +93 Given that the majority of our team is based in Bangkok, would you be open to relocating there? We offer visa sponsorship and comprehensive relocation assistance. Do you as a candidate have a personal relationship with a current Agoda employee? If yes, please indicate how you know the employee? What is the employee’s name? Have you read our Engineering blog? (https://medium.com/agoda-engineering) Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom? In which country/region are you currently based? Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so. How did you hear about this job? Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time. We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted. To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.? Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Get To Know Our Team:** Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training. **The Opportunity:** * You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers. * You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces. **What You’ll Do:** * Model governed metrics, dimensions, joins, and grain for business domains * Structure expert context, glossaries, and validated question patterns as Git-reviewed assets * Build freshness, drift, and validation signals; treat stale knowledge as a production issue * Expose the layer through APIs so applications and agents get deterministic answers * Enable domain owners to propose, review, and publish knowledge without engineering deploys * Partner across analytics, product, and platform teams on access control and quality standards **Required Qualifications:** * 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling * Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent) * Strong SQL and analytical modeling on OLAP / warehouse systems * Knowledge engineering: versioned definitions, peer review, contributor workflows * API / service mindset: you design for multiple consumers, not a single dashboard * Clear communication across engineering, analytics, and product partners **Preferred Qualifications:** * Open-source semantic layer engines (Cube, MetricFlow patterns) * Agent or tool-interface experience for LLM-powered applications * NL-to-data products, retrieval, or evaluation harnesses * Python or Node.js service development * Large-scale e-commerce or travel analytics environments