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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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><b><b>Job Description Summary</b></b></b></span>GE Aerospace is hiring an early-career Software Engineer to help our engineers unlock the power of data, cloud, and AI. You will consult on architecture, build proof of concepts, and ship production solutions for strategic business projects — including data science and machine learning systems. Applying the Innovator Method, you'll turn customer insights into solutions that deliver measurable business value while deepening your expertise in cloud platforms, data engineering, and AI technologies. This role is an ideal next step for interns completing our internship program and for recent graduates ready to shape the future of flight.<span><b>Job Description</b></span><p><b>Company Overview:</b></p><br><p>Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!</p><br><p><b>Site Overview:</b></p><br><p>For over 40 years, GE Aerospace has had a significant presence on the ground in the United Arab Emirates. With offices in Abu Dhabi and Dubai Airport Freezone; an On Wing Support Center; partnership engineering, testing, and Maintenance, Repair, and Overhaul facilities across the country; and the Middle East Technology Center focused on solutions for the region’s hot &amp; harsh environment. In addition to career opportunities, our sites offer a culture focused on respect for people and giving back to the community <u>t</u>hrough grants and philanthropic programming.</p><br><p><b>Role Overview:</b></p><br><p>At GE Aerospace, our people invent the future of flight — lifting people up and bringing them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. Respect for people is core to our culture and to FLIGHT DECK, our proprietary lean operating model, and we cultivate communities where talented people from all backgrounds are empowered to reach their fullest potential.</p><br><p>At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world's most complex engineering problems using innovative approaches and new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies — like cloud and AI — to unlock new possibilities and shape the future of flight.</p><br><p>As a Software Engineer on this team, you'll move beyond proof of concept: you will own solutions end-to-end, from architecture and design through production deployment and support, delivering real business impact for engineering teams across the company.</p><br><p>We are keen on building scalable, long-lasting solutions — software designed to outlive its first release. That means investing in good design over quick fixes: clean abstractions, simple interfaces, and code that clearly communicates its intent. Working code isn't the finish line; we continually refine our systems so they remain easy to understand, extend, and maintain as they grow, because small design investments today compound into velocity tomorrow.</p><br>What You Will Do<ul><li>Design, build, and ship production-grade solutions — LLM-powered applications, machine learning models, and APIs — that enable engineers to evaluate and adopt data and AI capabilities</li><li>Consult on architecture and deliver solutions for business-strategic projects, including data science and machine learning systems</li><li>Own features end-to-end — design, implementation, testing, deployment, and production support — to meet business needs and drive measurable impact</li><li>Build and present product architectures, write high-quality technical code, participate in design and code reviews, and demo applications to stakeholders and senior leaders</li><li>Apply the Innovator Method and lead design thinking workshops to turn customer insights into solutions that deliver real business value</li><li>Apply cloud platforms, databases, data engineering, web technologies, and numerical methods in your work — and stay current with advances in AI, LLMs, and agentic architectures</li><li>Collaborate closely with teammates, share knowledge and use your strengths to support the team, and build cross-functional relationships across the company</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science or another STEM discipline</li><li>0–2 years of professional experience in software engineering, data, or AI (internship and co-op experience counts)</li><li>Proficiency in programming and debugging with at least one of the following languages: Python, C++, Go, or Rust</li><li>Experience working with databases and SQL</li><li>Hands-on experience in at least one of the following: Machine Learning, Large Language Models (LLMs), or Computer Vision</li><li>Experience building solutions on a public cloud platform such as AWS or Azure</li></ul>Desired Qualifications<ul><li>Strong academic performance</li><li>Experience designing AI solutions and architecting distributed data systems</li><li>Familiarity with LLM application technologies and patterns, such as retrieval-augmented generation (RAG), agentic workflows, prompt engineering, vector databases and embeddings, and LLM evaluation</li><li>Experience building and serving REST APIs (e.g., FastAPI, Flask) and packaging AI capabilities for reuse across teams (e.g., Model Context Protocol / MCP servers)</li><li>Familiarity with MLOps practices, such as experiment tracking (e.g., MLflow), model registries, automated training pipelines, and model monitoring</li><li>Customer-centric mindset with the ability to facilitate design thinking workshops</li><li>Prior internship, co-op, or project experience in software, data, or AI (GE Aerospace internship experience is a plus)</li><li>Familiarity with modern engineering practices: version control (Git), CI/CD, containers, and agile development</li><li>AWS and/or Azure certification (preferred but not required)</li></ul><p>Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace.</p><br><p>At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.</p><br><span><b><b><b>Additional Information</b></b></b></span><p><b>Relocation Assistance Provided: </b>No</p><br><br><br><br><br><br><br><br>#LI-Remote - This is a remote position </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary<p>We are looking for a Senior IT Operations Specialist to manage and support IT infrastructure, systems, cybersecurity, and day-to-day technology operations across the organization.</p><br><br><p>The successful candidate will be responsible for maintaining reliable and secure IT systems, providing advanced technical support, managing Microsoft technologies and infrastructure, coordinating with technology vendors, and supporting the continuous improvement of IT operations.</p><br><br><br>Key Responsibilities<ul><li>Manage and support IT infrastructure, networks, servers, endpoints, and related systems.</li><li>Administer Microsoft 365, Microsoft Intune, Azure, and Active Directory environments.</li><li>Manage endpoint devices, user accounts, access, and IT assets.</li><li>Support backup, recovery, data protection, and business continuity processes.</li><li>Monitor system performance, availability, security, and overall infrastructure health.</li><li>Troubleshoot and resolve complex Tier 2 and Tier 3 technical issues.</li><li>Support cybersecurity, vulnerability management, access controls, and information security practices.</li><li>Manage employee IT onboarding and offboarding, including user accounts, devices, and access.</li><li>Maintain accurate technical documentation, procedures, asset records, and IT knowledge resources.</li><li>Manage and coordinate with IT vendors, software providers, hardware suppliers, and service providers.</li><li>Review software licenses, IT services, and infrastructure requirements to identify opportunities for cost optimization.</li><li>Support the evaluation and implementation of new IT tools, systems, and technology solutions.</li><li>Assist with internal IT projects, system upgrades, digital workplace solutions, and technology improvements.</li><li>Prioritize technical incidents and infrastructure requirements according to business needs.</li><li>Provide occasional after-hours or weekend support when required for critical incidents or planned technology activities.</li></ul><br>Requirements<ul><li>Bachelor's degree in Information Technology, Computer Science, Management Information Systems, or a related field.</li><li>7-10 years of relevant experience in IT infrastructure, systems administration, and technical support.</li><li>Minimum 3-5 years of experience in a senior, supervisory, technical lead, or similar capacity.</li><li>Strong hands-on experience with Microsoft 365, Microsoft Intune, Azure, and Endpoint Management.</li><li>Good knowledge of Active Directory and Hybrid Active Directory environments.</li><li>Experience with backup and recovery solutions such as Veeam.</li><li>Practical experience with network infrastructure, firewalls, and network security.</li><li>Experience in information security, cybersecurity controls, compliance, vulnerability management, and audit readiness.</li><li>Experience with IT vendors, software licensing, and technology cost optimization.</li><li>Strong troubleshooting and problem-solving abilities.</li><li>Good technical documentation and stakeholder communication skills.</li><li>Ability to work independently, manage priorities, and support multiple business requirements.</li><li>Willingness to provide occasional after-hours or weekend support when required.</li></ul> <br><br> </div>

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>About The Role<br><br>You'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br><br>Responsibilities:<br><br>Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem Build a reproducible Docker environment with pinned dependencies Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix Write an instruction.md that reads like a Jira ticket a developer would receive Write a reference solve.sh proving the task is solvable Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time Iterate based on feedback from expert QA reviewers Later: review other authors' tasks as a QA reviewer<br><br>Not in scope<br><br>Data labeling, prompt engineering Production code to ship — you design problems and verification for AI agents Leetcode puzzles — scenarios must look like real developer work Not every candidate task ships — quality over quantity<br><br>Requirements<br><br>3+ years of production software development in one backend stack — Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth Python + pytest fluency — required regardless of primary stack. The task harness is pytest-based even when the broken app is in another language. Fixtures, parametrize, monkeypatch, timeouts, conftest.py Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user Linux & Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work. You can cite a specific time the AI was confidently wrong and how you caught it English — B2+ written<br><br>Not a fit<br><br>Data Science, ML, or Computer Vision engineers without backend-engineering output Manual QA testers without automation or test authoring Frontend-only, low-code / no-code, IT Support, or Business Analysts Engineers who have never written pytest from scratch Junior, intern, or assistant as the most recent role<br><br>Preferred Qualifications<br><br>Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (Num Py / PyTorch / Sci Py), Dev Ops, or Git internals Modern Python tooling (uv, poetry, pyproject.toml) Coverage tooling (pytest-cov, coverage.py, gcov, llvm-cov, kcov) Fuzzing or property-based testing (Hypothesis) Prior contribution to agent-evaluation benchmarks or related frameworks<br><br>Process<br><br>Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br><br>Time commitment<br><br>Onboarding: :10 hours per first task Steady state: :5 hours per task, 2-4 parallel tasks per author Realistic weekly load: 8-20 hours. Higher volume available for top performers You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria<br><br>Compensation:<br><br>Paid contributions, rates up to $35/hour*Task-based compensation equivalent to hourly rate, depending on performance and volume Some projects include incentive payments Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be provided to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project<br><br>Apply<br><br>Submit your CV via the Mindrift platform. Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a Git Hub profile link if available.