{"id":3858916,"url":"https://alion.io/job/agoda-summer-internship-2027-data-platform-intern-devops","title":"[Summer Internship 2027] Data Platform Intern, Devops","company":{"id":200,"name":"Agoda","domain":"agoda.com","url":"https://alion.io/company/agoda","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":77,"ghost_share":0.039,"stale_share":0.675,"repost_share":0.078,"time_to_fill_p50_days":61,"computed_at":"2026-11-08T05:47:12Z"}},"role":"DevOps","role_family":"DevOps","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bangkok, Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-11-06T07:49:44Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T03:11:49Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Agoda\nAt 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. \nToday, 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.\nNo 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.\nSummer internship period: 24th may - 30th July 2027\nThe Opportunity: \nJoin us as an Intern in one of the Data Platform Teams which together manage the data infrastructure serving as the core backbone for all Agoda’s Data needs. The Data Platform spans four teams: \nData Pipeline: Maintaining large scale Data Pipelines spanning trillions of events a day across multiple Data Centers\nData Lake Operations: Administering our massive Hadoop Data Lakes at ~30+ PB scale for our data storage and computational needs\nData Applications: Creating self-service data tools/apps (e.g. ETL, Synchronization Tools, Discoverability Tools, Data Quality Tools etc.) for use by anyone in Agoda \nData Experience: Promoting Data Democratization and Usage through intuitive Web UIs that make it easy for any Agoda employee to interact with data \nIf you are interested in Data Engineering and Big Data, then this is the right internship program for you. You’ll have opportunity to work with large distributed system such as Apache Kafka, Elasticsearch, Hadoop, Object Storage, Spark, Docker, Kubernetes etc. \nIn this Role, you'll get to: \nStart off by learning about our Systems, going through the onboarding courses (based off one of the 4 teams that you’ll join) \nBased on your interests, you’ll have an opportunity to choose which components you would like to work on. \nAt which point, you’ll be assigned a mentor. Together, you’ll then decide on an internship project and go through the full development cycle within the course of your internship. \nYou will take a project from ideation all the way to production. You would come up with an idea, develop a proof of concept, write tests, build dashboards, make your code production ready, deploy to production, debug issues, and learn how to automate everything. \nCome out at the end of the Internship shipping real code, understanding what it takes to deal with TB to PB worth of data, how to design good and scalable software, learning more about large distributed systems, and seeing your code run in Production \n\nWhat you'll Need to Succeed: \nBe an Undergraduate / Graduate in an IT related / Computer Science or equivalent degree \nProficient in at least one of these languages: Go, Python\nGood communication skills, Fast learner, Positive and Open Attitude \nAbility to work independently and as a team player \nStrong English speaking and writing skills \nIt's Great if you have: \nKnowledge and experiences in Kubernetes, Apache Hive, Apache Iceberg\n#students #cooperativeintern #summerintern\n\nPlease review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.\nDiscover more about working at Agoda\nAgoda Careers https://careersatagoda.com\nFacebook https://www.facebook.com/agodacareers/\nLinkedIn https://www.linkedin.com/company/agoda\nYouTube https://www.youtube.com/agodalife\nEqual Opportunity Employer \nAt 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.\nWe 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.\nDisclaimer\nWe 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. 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