About the job 

We are looking for a mid-level SRE to help manage and improve our cloud infrastructure and production environment. This role will be responsible for supporting deployments, monitoring production systems, responding to incidents, and helping teams maintain stable and cost-efficient operations.

In this role, you will get to:

• Support deployments and maintain production environments across cloud infrastructure and applications
• Monitor production systems, investigate incidents, troubleshoot issues, and support users when production problems occur
• Work closely with engineering and project teams to support system implementation, releases, and ongoing operational needs
• Manage user access and permissions for internal tools, cloud platforms, and related systems
• Maintain and improve infrastructure using Terraform 
• Help improve monitoring, alerting, and incident response processes
• Identify opportunities to optimize cloud usage and infrastructure costs
• Document operational procedures, deployment processes, and incident resolutions

You’ll be successful if you have:

• At least 2 years of experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or a related role
• Hands-on experience with cloud platforms, particularly AWS
• Experience working with Kubernetes environments, especially GKE
• Experience using Infrastructure as Code tools such as Terraform and/or CloudFormation
• Experience with scripting or automation using Python
• Experience working with GitLab, including CI/CD pipelines
• Experience managing user access and permissions for internal tools and platforms
• Understanding of production support, incident handling, and deployment processes
• Able to work collaboratively with different teams and communicate effectively during incidents and project work
• Strong communication skills in English

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Get To Know Our Team:

• The BI‑Infra organization owns Agoda’s core data warehouse architecture and operates the platforms that power analytics and BI across the company (e.g., SQL Server DW, SSAS, Vertica, StarRocks, Hadoop, Superset, Metabase, Tableau, Power BI Report Server). Our mission is to maximize system uptime and provide the best possible data and visualization experience to Agoda users. 

• The BI‑Infra DBA sub‑team focuses on database and BI platform reliability, performance, and cost efficiency — designing and operating scalable OLAP engines, tuning workloads, defining SLIs/SLOs, and partnering with BI and product teams to keep critical analytics systems healthy at scale. 

The Opportunity:

We are looking for a Senior/Staff Data Platform Engineer (BI Infra DBA) to lead the technical direction and operations of our analytics database and BI platforms (StarRocks as the primary analytics engine, Vertica, SQL Server DW, visualization backends, and related services). You will: 

• Own critical database and BI infrastructure end‑to‑end — architecture, performance, reliability, and security. 

• Lead multi‑team initiatives such as expanding StarRocks adoption and leading sql server datawarehouse migration, and major upgrades of visualization/BI tools. 

• Set engineering and operational standards for how we design, deploy, and monitor our BI data platforms, acting as the technical point of contact for BI‑Infra DBA 

What You’ll Do:

• Design and evolve Agoda’s BI data warehouse architecture across SQL Server DW, Vertica, StarRocks, and related services, focusing on availability, scalability, and cost efficiency. 

• Lead migration and modernization projects such as: 

  • Migrating workloads off MSSQL DW to more sustainable platforms (Production standby, data lake, StarRocks, etc.). 

  • Decommissioning legacy components as part of the long‑term DW strategy. 

• Define and implement data and query engine standards (indexing/partitioning patterns, materialized views, retention strategies, governance and access patterns) for BI platforms. 

• Define SLIs/SLOs for key services (StarRocks, Vertica, Tableau, Superset/Metabase, MSSQL DW) and ensure they are instrumented, monitored, and reviewed regularly. 

• Lead incident response for BI‑Infra DBA‑owned platforms: diagnose cross‑system issues (Query Engine - Database, VIz tools, Compute, Storage, Network), post‑mortem/root‑cause analysis, and follow‑up improvements. 

• Partner with BI‑Infra Ops/Dev/Viz and DBDev/DBOps on end‑to‑end reliability — from ingestion pipelines to visualization queries and user traffic patterns. 

• Perform deep query and workload tuning for high‑impact systems (e.g., finance, supply, whitelabel analytics, experimentation, DQ), reducing CPU/memory/IO and improving latency at scale. 

• Optimize resource consumption and license/capacity planning for Query Engine – Database and BI tools. 

• Collaborate with infra and product teams to evaluate and adopt new query engines / database technologies where they materially improve reliability, performance, or cost. 

• Own upgrade and patching strategies for database and BI stacks (OS, engine, drivers), using canary/blue‑green and rollback plans to minimize downtime. 

• Improve and extend CI/CD and deployment automation for database objects, jobs, and configuration (GitLab, AWX/Ansible, ArgoCD, etc.). 

• Build and maintain observability for BI-Infra DBA services (Grafana, Prometheus/SLO dashboards, alerting, Hedwig/NOC integrations) to detect and act on issues proactively. 

• Implement and maintain secure access patterns for DW and BI platforms (service accounts, RBAC, gMSA, password rotation, SSO/OKTA integration, DR strategy). 

• Partner with security and data governance teams to remediate vulnerabilities within SLAs, enforce data residency constraints, and ensure that upcoming workloads (e.g., whitelabels) are compliant by design. 

• Act as technical lead for BI‑Infra DBA initiatives, collaborating closely with BI‑Infra Ops/Dev/Viz, Database Operation/Development, Infra, and BI product teams. 

• Mentor and coach junior engineers on database performance, reliability, and platform engineering best practices; help raise the bar for design reviews, runbooks, and incident hygiene. 

• Contribute to knowledge sharing - Documents [Confluence, Agoda Internal Document Framework], internal talks, runbooks and help shape the technical roadmap for BI‑Infra DBA. 

Required Qualifications:

• 5+ years of experience in data engineering / database engineering / DBA / platform engineering, with at least several years owning production OLAP/BI databases at scale. 

• Strong expertise with StarRocks (or similar modern MPP / columnar systems such as Vertica, ClickHouse, Presto/Trino, Druid, Doris, Impala) and solid SQL Server experience, including: 

  • Query execution internals and tuning (plans, statistics, partitioning, indexing, materialized views). 

  • Capacity planning, storage layout, and backup/restore. 

• Proven experience operating mission‑critical database or BI services in production: 

  • On‑call incident response, debugging across layers, and post‑mortem/root‑cause analysis. 

  • Designing and maintaining SLIs/SLOs, dashboards, and alerting for latency/availability/error budgets. 

• Solid understanding of data warehouse and ETL concepts (core DW tables like Fact-Dimension, MSSQL Replication/CDC, Staging patterns, data freshness & consistency, DQ processes). 

• Hands‑on experience with Linux and Windows in production environments (patching, hardening, troubleshooting resource issues). 

• Experience with infrastructure automation and CI/CD: 

  • Pipelines and deployment automation (GitLab CI, Ansible/AWX, ArgoCD, or similar). 

  • Git‑based workflows for database objects. 

• Strong communication and collaboration skills: 

  • Able to represent BI‑Infra DBA as the technical point of contact in cross‑team design and incident discussions at IC4 level. 

  • Comfortable explaining complex trade‑offs to both technical and non‑technical stakeholders. 

Preferred Qualifications:

• Experience with StarRocks or similar modern OLAP engines, including: 

  • Designing schemas and materialized views for BI workloads. 

  • Operating clusters across multiple environments (DR, performance/capacity testing, cost tuning). 

• Hands‑on work with Superset, Metabase, Tableau, Power BI Report Server as data consumers — understanding how visualization patterns translate into backend workload and SLOs. 

• Exposure to Hadoop / Data Lakehouse ecosystems (e.g., Impala, Spark, Hive) and strategies for moving workloads from DW to lake/next‑gen engines. 

• Experience with observability stacks (Prometheus, Grafana, Hedwig/NOC dashboards and alerting), SRE practices, and especially using AI/LLM-based tools to help with log analysis, anomaly detection, or auto-remediation for database/BI engines — this will be a strong plus. 

• Prior technical leadership at IC4 level or equivalent, driving multi‑quarter cross‑team projects and raising engineering standards for reliability, performance, and maintainability. 

Get to Know Our Team
The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity
We are seeking a highly skilled PostgreSQL professional with a strong background in performance tuning, high availability and disaster recovery (HADR), replication, monitoring, and troubleshooting. You'll be supporting a fast-paced environment with over 2,000 IT professionals. If you're ready to make a significant impact and thrive in a challenging setting. apply now!

In This Role, You’ll Get to

• Act as the PostgreSQL technical leader, providing strategic recommendations for database solutions to ensure the scalability, integrity, and security of the database infrastructure.
• Administer and proactively monitor PostgreSQL servers to ensure 24x7 uptime and availability across multiple data centers.
• Troubleshoot and perform performance tuning on the PostgreSQL to ensure optimal operation and efficiency.
• Communicate and review database solutions, technical issues, and application requirements with operations staff and external entities.

What you’ll Need to Succeed:

• Bachelor or Master Degree in computer science or any related fields.
• At least 8 years of experience of extensive background on PostgreSQL, with a particular focus on OLTP environments
• Proficient in database high availability, replication technology, and performance tuning.
• Proficient in database design, ER Diagram and structured query language (SQL)
• Experienced in deploying and managing PostgreSQL clusters, including setup, configuration, and maintenance to ensure high availability and scalability are essential for this role.
• Ability to learn quickly and adapt to new environments well.
• Be able to work under pressure and to deadlines.
• Be the team player with good interpersonal and communication skills
• Be able to attend on-call rotation

It’s Great if you have:

• Preference will be given to candidates with experience in Python and Bash scripting.
• Practical experience with containerization technologies, such as Docker, is desirable; familiarity with Kubernetes (K8s) is considered an advantage.
• Solid understanding of essential hardware components relevant to database administration, including server architecture, storage systems, networking, and performance optimization, is highly valued.
• Experience working with monitoring and observability tools like Grafana and Prometheus is a plus.
• Hands-on experience with CI/CD tools is a plus
• Familiarity with one or more of the following technologies is a plus: SQL databases (such as MSSQL, Oracle, MysQL) 
• Experience with one or more of the following third-party tools is a plus: Ansible, Consul, Vault, Sensu, and GitLab.

#bangkok #bangalore #sanfrancisco #newyork #seattle #hyderabad #Pune #London #Delhi #Chennai #Toronto #Dallas #losangeles #washingtonDC #Austin #Chicago #jakata #indonesia #Atlanta #SaoPaulo #mumbai #vancouver #IT #ENG #4 #LI-TN1

Get to Know Our Team  

Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second 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.   

The Opportunity  

In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights. 

In This Role, You’ll Get to  

• Think and own the full life cycle of our products, not just a single piece of code – from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring  
• Design, develop and maintain platforms and data pipelines across fintech  
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape 
• Write great code and help others write great code – mentor people in your team and wider  
• Collaborate with other teams and departments 
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn’t just managing tasks but inspiring innovation and driving vision into reality
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals 
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent

What You’ll Need to Succeed  

• 8+ years of experience with strong proficiency in Java, Kotlin, Scala, or C# with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture
• Thinks in systems: their edge cases, failure modes, and life cycles
• Uses a metrics driven approach and can make informed decisions using data
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills
• Experience with Scrum/Agile development methodologies
• Excellent verbal and written English communication skills
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards

It’s Great If You Have  

• Experience working in a modern FinTech or Payments organization
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ)
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes
• Experience developing, maintaining and debugging large-scale distributed systems 
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved 

This position is based in Bangkok, Thailand (Relocation Provided)

#Bengaluru #Hyderabad #Gurgaon #SouthKorea #Berlin #London #Pakistan #Pune #SanFrancisco #SanJose #Seattle #TelAviv #Jakarta #Colombia #NewYork #Vietnam #Russia #Madrid #SaoPaulo #Noida #Toronto #Chennai #Singapore #Ukraine #UAE #Sunnyvale #BuenosAires #Austin #Barcelona #Nigeria #Mumbai #Paris #Egypt #Stockholm #Amsterdam #Romania #Serbia #NewDelhi #MountainView #Chile #Warsaw #Sydney #Bangladesh #Peru #SantaClara #Chicago #Gurgaon #Munich #Montreal #Bangkok #Tallinn #Vilnius #Riga #Dublin #IT #ENG #5