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Lead Software Engineer, DevOps Domain (Bangkok based, relocation provided)
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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.
This position is based in Bangkok, Thailand. (Relocation support is provided)
In this Role, you'll get to:
- Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.
- Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.
- Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity.
- Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.
- Proactively identify and mitigate reliability and scaling risks across Agoda’s services.
- Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.
- Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.
- Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.
- Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.
- Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.
What You’ll Need to Succeed:
- 8+ years of relevant experience.
- Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.
- Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.
- Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).
- Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).
- Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.
- Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.
- Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.
- Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.
- Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.
- Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.
- Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.
Nice-to-Have:
- Experience operating large-scale, high-QPS systems serving millions of users in domains such as e-commerce, travel, or fintech.
- Hands-on experience with multi-region / multi-DC architectures and traffic isolation or failover strategies.
- Background in chaos engineering and resilience testing.
- Experience defining or scaling org-wide SLO/SRE frameworks.
- Built or operated Kubernetes controllers/operators.
- Exposure to ML-assisted detection or statistical methods for signal tuning (e.g., windowing strategies, precision/recall trade-offs).
#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
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.
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.
Ready to apply?
Apply to Agoda
Lead Software Engineer, DevOps Platform (Bangkok based, relocation provided)
Share this job
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.
This position is based in Bangkok, Thailand. (Relocation support is provided)
In this Role, you'll get to:
- Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.
- Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.
- Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity.
- Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.
- Proactively identify and mitigate reliability and scaling risks across Agoda’s services.
- Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.
- Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.
- Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.
- Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.
- Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.
What You’ll Need to Succeed:
- 8+ years of relevant experience.
- Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.
- Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.
- Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).
- Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).
- Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.
- Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.
- Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.
- Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.
- Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.
- Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.
- Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.
Nice-to-Have:
- Experience operating large-scale, high-QPS systems serving millions of users in domains such as e-commerce, travel, or fintech.
- Hands-on experience with multi-region / multi-DC architectures and traffic isolation or failover strategies.
- Background in chaos engineering and resilience testing.
- Experience defining or scaling org-wide SLO/SRE frameworks.
- Built or operated Kubernetes controllers/operators.
- Exposure to ML-assisted detection or statistical methods for signal tuning (e.g., windowing strategies, precision/recall trade-offs).
#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
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.
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.
Ready to apply?
Apply to Agoda
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
Agoda’s Technical Product Management (TPM) organization drives internal platforms and tools that enable thousands of engineers to build and operate world-class products efficiently and reliably. Our TPMs play a key role in bridging business, data, and technology—translating complex needs into scalable solutions that empower teams across the company.
The Observability domain ensures Agoda’s systems are visible, traceable, and resilient—helping us maximize uptime and minimize recovery time from incidents so customers always enjoy the best experience possible. This includes building and evolving our platforms for telemetry, distributed tracing, anomaly detection, alerting, and incident management. The work is both highly technical and highly impactful, sitting at the core of Agoda’s Production Excellence.
The Opportunity
As a Technical Product Manager for Observability, you will lead the vision, roadmap, and delivery of Agoda’s observability platforms. You’ll collaborate with engineers, SREs, and data scientists to strengthen our ability to detect, prevent, and resolve production issues faster—leveraging data and AI to drive smarter, more proactive monitoring.
This is a high-impact role that shapes how Agoda builds reliable, scalable systems powering millions of traveler experiences every day.
In This Role, You’ll Get To:
- Own the full product lifecycle for observability platforms—from concept to delivery and continuous improvement.
- Define the vision for anomaly detection, tracing, and visibility systems that accelerate detection and recovery.
- Partner with engineers, SREs, and product teams to identify reliability pain points and prioritize impactful solutions.
- Balance product velocity with technical debt and operational risk, working closely with senior engineers.
- Define and track key metrics to measure platform impact.
- Collaborate with data scientists to apply ML/AI techniques.
- Communicate effectively across all levels—especially during complex or time-sensitive situations.
- Demonstrate strong leadership, organization, and execution skills to drive initiatives from concept to launch.
- Stay current with industry trends in observability, SRE, and ML-driven monitoring, and apply them at Agoda.
What You’ll Need to Succeed:
- 3+ years of technical product or program management experience in a fast-paced environment.
- 5+ years of technical experience/familiarity with observability, reliability, or production excellence domains (e.g., monitoring, tracing, incident management).
- Strong product management and communication skills, with the ability to influence without authority across technical and business teams.
- Proven ability to define vision and strategy, set clear priorities, and deliver measurable impact.
- Experience managing complex, cross-functional technical initiatives end-to-end.
- Excellent stakeholder management and presentation skills; able to simplify complex technical concepts.
- Familiarity with observability, reliability, or production excellence domains (e.g., monitoring, tracing, incident management).
- Analytical and data-driven mindset; comfortable using metrics, dashboards, or SQL to support decision-making.
- Highly organized and adaptable, able to manage multiple priorities and navigate ambiguity.
- Hands-on experience with product management tools (e.g., JIRA, Confluence).
- Energetic, curious, and proactive—the drive to “figure things out” and make meaningful improvements.
***This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.***
#bangkok #sanjose #losangeles #sydney #melbourne #perth #vancouver #shanghai #beijing #shenzhen #copenhagen #paris #hongkong #budapest #jakarta #dublin #telaviv #milan #rome #tokyo #kualalumpur #amsterdam #oslo #jerusalem #moscow #barcelona #madrid #stockholm #zurich #taipei #london #wroclaw #warsaw #chennai #pune #toronto #austin #sydney #chichago #noida #delhi #seattle #hyderabad #gurgaon #newyork #bangalore #boston #bengaluru #berlin #mumbai #IT #4 #5 #LI-ST2 #LI-Hybrid
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
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.
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.
Ready to apply?
Apply to Agoda
Lead DevOps Engineer (SRE) (Bangkok based, relocation provided)
Share this job
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.
This position is based in Bangkok, Thailand. (Relocation support is provided)
In this Role, you'll get to:
- Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.
- Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.
- Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity.
- Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.
- Proactively identify and mitigate reliability and scaling risks across Agoda’s services.
- Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.
- Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.
- Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.
- Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.
- Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.
What You’ll Need to Succeed:
- 8+ years of relevant experience.
- Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.
- Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.
- Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).
- Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).
- Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.
- Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.
- Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.
- Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.
- Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.
- Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.
- Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.
Nice-to-Have:
- Experience operating large-scale, high-QPS systems serving millions of users in domains such as e-commerce, travel, or fintech.
- Hands-on experience with multi-region / multi-DC architectures and traffic isolation or failover strategies.
- Background in chaos engineering and resilience testing.
- Experience defining or scaling org-wide SLO/SRE frameworks.
- Built or operated Kubernetes controllers/operators.
- Exposure to ML-assisted detection or statistical methods for signal tuning (e.g., windowing strategies, precision/recall trade-offs).
#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
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.
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.
Ready to apply?
Apply to Agoda
Lead DevOps Engineer (Bangkok based, relocation provided)
Share this job
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.
This position is based in Bangkok, Thailand. (Relocation support is provided)
In this Role, you'll get to:
- Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.
- Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.
- Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity.
- Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.
- Proactively identify and mitigate reliability and scaling risks across Agoda’s services.
- Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.
- Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.
- Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.
- Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.
- Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.
What You’ll Need to Succeed:
- 8+ years of relevant experience.
- Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.
- Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.
- Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).
- Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).
- Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.
- Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.
- Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.
- Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.
- Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.
- Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.
- Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.
Nice-to-Have:
- Experience operating large-scale, high-QPS systems serving millions of users in domains such as e-commerce, travel, or fintech.
- Hands-on experience with multi-region / multi-DC architectures and traffic isolation or failover strategies.
- Background in chaos engineering and resilience testing.
- Experience defining or scaling org-wide SLO/SRE frameworks.
- Built or operated Kubernetes controllers/operators.
- Exposure to ML-assisted detection or statistical methods for signal tuning (e.g., windowing strategies, precision/recall trade-offs).
#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
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.
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.
Ready to apply?
Apply to Agoda
Who We Are
Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global’s world-class expertise.
What We Do
Sertis provides both productized and bespoke AI and Data solutions for our Customers, optimizing and commercializing their data in ways that activate real business results. Our 140+ team have developed product offerings and IP ranging from advanced Computer Vision applications accredited Global Top 20 by NIST, to automated insights monetization for Retailers, eKYC for financial institutions, AI-driven agricultural safety assurance, precision steel cutting, trading algorithms for hedge funds, and enterprise knowledge management systems based on AI.
Our Aspiration
We are data and AI pioneers, dedicated to enhancing the economic and social lives of our customers via technology. We are not just living in history, we are making history everyday. In becoming one of the world’s leading Data and AI companies, we always double-down on remaining a place where a diverse mix of talent wants to come, do their best work, and stay. We pride ourselves on bringing the best talent worldwide into a culture that encourages learning, growth opportunities, innovative contributions, and a sense of ownership. As part of Andersen Consulting, we are committed to delivering best-in-class Data and AI solutions—aligned with a global platform known for innovation, integration, and impact—while continuing to set benchmarks in the region and beyond.
For more information, please visit: sertiscorp.com
This role is for candidates who are available to work as interns during Winter Internship 2026
Who is Sertis?
Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.
Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.
For more information, please visit: https://www.sertiscorp.com/
As a Machine Learning Engineer Intern at Sertis, you will gain hands-on experience supporting the productionization of data science research and AI-driven solutions. You will work alongside experienced ML engineers to understand how AI models are deployed on diverse hardware platforms, assist in building MLOps infrastructure, and contribute to writing production-grade software for model inference. This internship is an excellent opportunity to apply your academic knowledge to real-world generative AI projects and agentic systems within a fast-paced, collaborative environment.
In this role, you will get to:
- Support cross-functional teams in understanding business requirements and contribute to designing ML solutions to address those needs.
- Assist in developing and maintaining scalable infrastructure for model training and deployment under the guidance of senior engineers.
- Help develop cloud-native APIs, pipelines, and general software components for model inference.
- Gain exposure to cutting-edge foundation models and assist in building agentic systems from scratch.
- Assist in troubleshooting and resolving issues related to generative AI models and their implementations.
- Contribute to writing and maintaining clear technical documentation.
You'll be successful if you have:
- Currently studying a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- A foundational understanding of machine learning concepts and the Software Development Life Cycle (SDLC).
- Good programming skills in Python, and ideally some familiarity with C++ or other languages used in ML applications.
- An awareness of Generative AI concepts and curiosity about real-world AI applications.
- Some exposure to LLM APIs such as OpenAI or Hugging Face through coursework, projects, or self-study.
- Good communication and interpersonal skills to effectively work with team members
Nice to have:
- A basic understanding of REST APIs and git version control; familiarity with CI/CD and MLOps principles is a plus.
- Any exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
- Some familiarity with Docker and containerization concepts is a plus.
This is your chance to build your career in a growing data-driven and AI industry.
APPLY NOW!
Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice
Ready to apply?
Apply to Sertis
Who We Are
Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global’s world-class expertise.
What We Do
Sertis provides both productized and bespoke AI and Data solutions for our Customers, optimizing and commercializing their data in ways that activate real business results. Our 140+ team have developed product offerings and IP ranging from advanced Computer Vision applications accredited Global Top 20 by NIST, to automated insights monetization for Retailers, eKYC for financial institutions, AI-driven agricultural safety assurance, precision steel cutting, trading algorithms for hedge funds, and enterprise knowledge management systems based on AI.
Our Aspiration
We are data and AI pioneers, dedicated to enhancing the economic and social lives of our customers via technology. We are not just living in history, we are making history everyday. In becoming one of the world’s leading Data and AI companies, we always double-down on remaining a place where a diverse mix of talent wants to come, do their best work, and stay. We pride ourselves on bringing the best talent worldwide into a culture that encourages learning, growth opportunities, innovative contributions, and a sense of ownership. As part of Andersen Consulting, we are committed to delivering best-in-class Data and AI solutions—aligned with a global platform known for innovation, integration, and impact—while continuing to set benchmarks in the region and beyond.
For more information, please visit: sertiscorp.com
Who is Sertis?
Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.
Overview of the job
As an Machine Learning / AI Engineer at Sertis, you will play a pivotal role in productionizing advanced data science research. You will be responsible for efficiently running AI models on diverse hardware platforms and architectures, designing and building robust MLOps infrastructure, optimizing models for deployment, and writing production-ready software for model inference. You will work on real-world generative AI use-cases and agentic systems, and collaborate on the development of cutting-edge autonomous, intelligent applications at scale.
In this role, you will get to:
- Collaborate with cross-functional teams to understand business requirements and design ML solutions to meet those needs.
- Develop and maintain scalable infrastructure for model training and deployment.
- Develop cloud-native APIs, pipelines, and general software for model inference.
- Work with cutting-edge foundation models and build agentic systems from scratch
- Troubleshoot and resolve issues related to generative AI models and implementations.
- Engage with clients to gather requirements and ensure smooth collaboration throughout project lifecycles.
- Develop and maintain technical documentation.
You'll be successful if you have:
- At least 2 years of experience as an AI/ML Engineer, past experience in Data science, Software development and/or Machine learning for cloud-based solutions.
- A strong understanding of machine learning processes and standards, as well as the Software Development Life Cycle (SDLC).
- Strong programming skills in Python, C++, or other languages commonly used in machine learning applications.
- Good understanding of Generative AI concepts and real-world experience developing Generative AI applications
- Hands-on experience with LLM APIs such as OpenAI or Hugging Face
- An understanding of REST APIs, git version control, CI/CD, and MLOps principles.
- Experience with cloud platforms such as AWS, GCP, or Azure
- Experience with Docker and containerization.
- Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment.
- The ability to scope projects, define architectures, and choose technologies based on project requirements.
- Strong communication and interpersonal skills to effectively collaborate with clients and team members.
- Proven experience in providing technical mentorship and guidance to junior engineers.
- Strong communication skills in English
APPLY NOW!
Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice
Ready to apply?
Apply to Sertis
Capco, a Wipro company, is a global technology and management consultancy specialising in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organisations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.
Role Summary
A Senior Backend Engineer is responsible for designing and developing scalable backend systems in alignment with enterprise architecture and IT standards. The role focuses on delivering high-quality Java-based applications, following SDLC and banking compliance requirements, while continuously adopting modern technologies, including AI/ML frameworks.
The engineer will enhance and maintain existing systems, troubleshoot production issues as 3rd tier support, and collaborate closely with cross-functional teams—particularly AI/ML teams—to integrate advanced capabilities such as conversational AI into backend services. Strong emphasis is placed on code quality, system reliability, and continuous technology improvement.
What You’ll Do
- Technical analysis and application design aligned with standards in IT Blueprint.
- Adopt and apply proper technology in development, including emerging AI frameworks.
- Develop with proper programming language (Java, etc.) and ensure high-quality code.
- Support technology-related information required for development.
- Keep updated on IT application technology to be able to adopt properly, especially in AI/ML domains.
- Apply application development with SDLC methodology and comply with banking regulations.
- Identify areas for modification in existing programs and subsequently develop these modifications.
- Write and implement efficient code with quality embedded.
- Troubleshoot and fix related problems to ensure smooth and efficient banking service/operation as 3rd tier support.
- Collaborate with AI/ML teams to integrate conversational AI capabilities into backend banking services.
What We’re Looking For
- 8+ years experience in software development, with a focus on backend systems.
- 3+ years strong experience in Java, Spring Boot, PostgreSQL, and RESTful APIs.
- 3+ years experienced in Scrum/Agile methodologies.
- Understand related software design diagrams such as UML, ER, etc.
- Experienced in Microservices architecture.
- Experienced in extreme programming, TDD, pair programming.
- Experienced in any public cloud such as Azure, AWS, or GCP.
- Experienced in Container and Docker Compose is a plus.
- Experienced in Deployment and DevOps is a plus.
- Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation
- Can work at the office at least 4 days a week (Mon-Thu)
Preferred Qualifications
- Experience with Java-based AI frameworks such as Spring AI, LangChain4j, or Semantic Kernel.
- Knowledge of prompt engineering and designing prompts for financial/banking contexts.
- Proven interest in AI technologies and their application in financial services (e.g. conversational banking, intelligent assistants).
- Experience integrating LLM APIs (OpenAI, etc.) with secure and compliant backend systems.
Why Join CAPCO
- Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
We offer
- A work culture focused on innovation and creating lasting value for our clients and employees
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
- An agile, diverse, entrepreneurial, inclusive, meritocratic culture
Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
#LI-PW1 #LI-Hybrid
Ready to apply?
Apply to Capco
Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)
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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 (ML role)?
Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we 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, stability, accuracy, speed and efficiency of our existing ML systems and processes.
Build, administer and scale ML processing pipelines. - Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
- Should be able to understand internals of ML models such as LightGBM, Random Forest, CNN, Regression models, etc
- Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
- Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
- We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.
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 a minimum of 4+ years in ML - Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala
- Expert in software design/design patterns, functional programming and object-oriented programming.
- Analytical problem-solving capabilities & experience.
A strong 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 techologies
- Experience working with Open-source products
- Experience with Scala 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
#telaviv #jerusalem #LI-SK1 #IT #ENG #4 #LI-PS4 #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 #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #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 #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 #LI-Hybrid
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
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.
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.
Ready to apply?
Apply to Agoda