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The Opportunity<br><br>Lead Agoda's Workday Functional Team as part of the People Technology implementation team.<br><br>Drive HR technology transformation across Workday and the broader HR technology ecosystem.<br><br>The role is Bangkok-based, with relocation provided.<br><br>Core Responsibilities<br><br>Develop the technical roadmap and implementation plan for HR technology transformation with the People Tech PMO Manager. Assess functional configurations and identify continuous improvements that reduce technical debt. Shape governance for application management, change requests, and implementation best practices. Lead subject-matter experts implementing, enhancing, and revamping Workday modules. Build team capability, technical portfolio strength, and organizational resiliency through talent development. Define and drive OKRs aligned to the HR technology transformation journey. Align HR technology initiatives with business priorities through partnerships with Agoda leaders. Evaluate module design, identify enhancements, and present strategic recommendations to People leadership. Implement solutions such as Workday Journeys and contribute to the Workday AI agent roadmap. Explore and build hybrid solutions for emerging HR technology use cases with Technology teams.<br><br>What You'll Need To Succeed<br><br>At least 5 years of experience leading cross-functional teams, preferably in a Workday environment. Proven HR digital transformation and end-to-end implementation delivery experience across HR technology platforms. Strong understanding of Scrum ceremonies and experience operating in an Agile environment. Knowledge of Workday Journeys, Recruiting, Position Management, AI Agents, and Adaptive Planning. Understand the hire-to-retire lifecycle and translate business requirements into an HR transformation roadmap. Proactively identify and resolve edge cases, dependencies, and risks in ambiguous environments. Demonstrate ownership, subject-matter expertise, and collaborative problem-solving. Drive continuous improvements that simplify processes, improve scalability, and reduce operational complexity. Have strong project and stakeholder management capabilities across cross-functional teams. Use data and analytics to generate insights and support informed decisions. Be fluent in written and spoken English.<br><br>Preferred Skills<br><br>Workday techno-functional skills are preferred.<br><br>Location<br><br>This is a Bangkok-based role with relocation provided.

About Agoda<br><br>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.<br><br>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.<br><br>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.<br><br>Get To Know Our Team:<br><br>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.<br><br>The Opportunity:<br><br>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.<br><br>What You’ll Do:<br><br>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<br><br>Required Qualifications:<br><br>4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling Semantic or metrics-layer experience (Look ML, 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<br><br>Preferred Qualifications:<br><br>Open-source semantic layer engines (Cube, Metric Flow 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<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>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.<br><br>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.<br><br>Disclaimer<br><br>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.

About Agoda<br><br>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.<br><br>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.<br><br>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.<br><br>Get To Know Our Team:<br><br>The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. 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 Data team plays at Agoda is critical as business users, product managers, engineers, 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 Data department, but also the reward.<br><br>The Opportunity:<br><br>As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, Dev Ops and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.<br><br>You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level, you will also shape CEG’s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.<br><br>What You’ll Do:<br><br>Data Engineering<br><br>Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability:Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).<br><br>Data Tools & Product Development<br><br>Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or Java Script/Type Script to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices—testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.<br><br>Data Analytics & Business Impact<br><br>Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.<br><br>Stakeholder & Team Collaboration <br><br>Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices. Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working, making sure CEG’s data ecosystem scales with business growth.<br>Required Qualifications:<br><br>8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., Big Query, Snowflake, Redshift, Hive, Spark, Vertica, Star Rocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or Java Script/Type Script). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.<br><br>Preferred Qualifications:<br><br>Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis. Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces. Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>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.<br><br>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.<br><br>Disclaimer<br><br>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.

About Perle<br><br>Perle is an AI infrastructure company building expert-driven training data, evaluation systems, and applied AI products for the world's leading labs and enterprises. Headquartered in San Francisco with experts across more than forty markets, we specialize in the work that requires real human judgment: domain expertise, linguistic nuance, and cultural fidelity that generic data vendors cannot deliver.<br><br>Perle is hiring a freelance transcriptionist fluent in Sinhalese for a remote transcription role. This is a paid contract position open to qualified contributors worldwide.<br><br> Role Overview<br><br>You will transcribe 2-speaker, channel-separated audio recordings in Sinhalese. Each file has two clearly separated speakers. Your job is to produce a clean, accurate, sequentially ordered transcript with speaker labels and timestamps.<br><br> What You Will DoListen to 2-speaker audio recordings in Sinhalese Type out what each speaker says, accurately and in full Label each speaker turn as Speaker 1 or Speaker 2, matching the audio channel Add timestamps at the start of each speaker turn (format: HH:MM:SS) Ensure transcripts are sequential with no unexplained gaps Requirements Native or near-native fluency in Sinhalese (spoken and written) Strong written Sinhalese — accurate spelling, punctuation, and grammar Ability to work independently and meet daily output targets Access to a computer with a stable internet connection Availability for at least 4 hours per day Prior transcription experience is a plus but not required — all contributors must pass a qualification test Quality Standard Word Error Rate (WER) of 5% or less on all delivered transcripts Zero speaker label errors — Speaker 1 must always correspond to Channel 1Transcripts reviewed on a rolling basis; feedback provided promptly Files that do not meet the quality threshold will be returned for correction Project Details<br><br>Detail<br><br>Information<br><br>Language required<br><br>Sinhalese<br><br>Project type<br><br>Audio transcription (manual)<br><br>Commitment<br><br>~at least 4 hours/day (remote, flexible schedule)<br><br>Start date<br><br>As soon as qualified — rolling onboarding<br><br> How to Apply<br><br>Submit your application through the Perle platform. You will be asked to complete a short qualification task — a 5-minute audio transcription sample in Sinhalese. Applicants who pass the qualification test will be onboarded immediately and assigned to production tasks.<br><br>Perle is an equal opportunity employer. We welcome applicants from all backgrounds.

About Agoda<br><br>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.<br><br>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.<br><br>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.<br><br>Get to Know Our Team<br><br>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 response 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.<br><br>The Opportunity<br><br>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.<br><br>In This Role, You’ll Get to<br><br>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<br><br>What You’ll Need To Succeed<br><br>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<br><br>It’s Great If You Have<br><br>Experience working in a modern Fin Tech 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, Rabbit MQ) Core engineering infrastructure tools like Git Lab 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 <br><br>This position is based in Bangkok, Thailand (Relocation Provided)<br><br>#AlRayyan #Amsterdam #Austin #Bali #Bandung #Bangalore #Bangkok #Barcelona #Berlin #Bucharest #Cape Town #Chicago #Cologne #Dallas #Detroit #Dubai #Dublin #Hong Kong #Jakarta #Johannesburg #Kyiv #London #Manchester #Manila #Munich #Gurugam #Noida #New York #Oslo #Paris #Riga #Saint Petersburg #San Francisco #San Jose #Seattle #Seoul #Singapore #Stockholm #Sydney #Taipei #Tainan #Tel Aviv #Toronto #Vancouver #Vilnius #Warsaw<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>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.<br><br>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.<br><br>Disclaimer<br><br>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.

About Agoda<br><br>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.<br><br>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.<br><br>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.<br><br>Get to Know Our Team<br><br>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 response 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.<br><br>The Opportunity<br><br>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.<br><br>In This Role, You’ll Get to<br><br>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<br><br>What You’ll Need To Succeed<br><br>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<br><br>It’s Great If You Have<br><br>Experience working in a modern Fin Tech 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, Rabbit MQ) Core engineering infrastructure tools like Git Lab 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 <br><br>This position is based in Bangkok, Thailand (Relocation Provided)<br><br>#AlRayyan #Amsterdam #Austin #Bali #Bandung #Bangalore #Bangkok #Barcelona #Berlin #Bucharest #Cape Town #Chicago #Cologne #Dallas #Detroit #Dubai #Dublin #Hong Kong #Jakarta #Johannesburg #Kyiv #London #Manchester #Manila #Munich #Gurugam #Noida #New York #Oslo #Paris #Riga #Saint Petersburg #San Francisco #San Jose #Seattle #Seoul #Singapore #Stockholm #Sydney #Taipei #Tainan #Tel Aviv #Toronto #Vancouver #Vilnius #Warsaw<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>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.<br><br>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.<br><br>Disclaimer<br><br>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.