This position is based in Bangkok, Thailand. (Relocation support is provided)

Get to Know Our Team 

The Data department oversees Agoda’s data-related platform and infrastructure capabilities, enabling the company to make better decisions and operate reliably at scale. Our goal is to empower teams across Agoda through resilient, secure, and high-performing systems that support development, deployment, and operations across a complex technology landscape. 

Within the department, the platform engineering team is responsible for building and operating critical infrastructure that powers Agoda’s private cloud environment. This includes large-scale Kubernetes platforms across multiple data centers, continuous delivery capabilities, service-to-service connectivity, observability, secrets management, and foundational security controls. We work closely with engineering, security, and infrastructure partners to ensure our platforms are secure, scalable, and easy to use. 

As Agoda continues to evolve its platform capabilities, we are also expanding our focus to Platform Identity Access Management (PIAM) — a strategic initiative that will strengthen authentication and authorization across Kubernetes, virtual machines, bare metal servers, laptops, and mobile devices. This work will play a key role in improving platform security, compliance, and operational consistency across the organization. 

The Opportunity 

As a Senior Lead Engineer, you will drive the architecture, implementation, and operational excellence of Agoda’s private cloud platform while leading strategic initiatives that improve scalability, reliability, security, and delivery velocity across the Data department. 

This role is ideal for a highly experienced and deeply hands-on platform engineering leader who thrives on solving complex distributed systems challenges at scale. You will provide technical leadership across large multi-cluster Kubernetes environments, improve deployment and observability capabilities, strengthen secrets and key management practices, and lead Agoda’s Platform Identity Access Management (PIAM) initiative from early architecture through implementation. 

This is a senior individual contributor role with significant technical ownership. While you will influence engineering standards and support other engineers, the role is strongly execution-focused and requires substantial hands-on contribution in design, coding, automation, and operational problem solving. 

You will work closely with developers, platform teams, security stakeholders, and engineering leaders to shape the future of Agoda’s infrastructure platform and enable teams to build and operate securely and efficiently. 

In This Role, You’ll Get To 

• Design, lead, and evolve Agoda’s private cloud platform architecture across multiple data centers, with a strong focus on scalability, resilience, performance, and operational excellence. 

• Lead the operation and continuous improvement of large-scale Kubernetes environments spanning multiple clusters and regions. 

• Drive architectural decisions around cluster networking, service communication, and platform reliability in high-demand distributed environments. 

• Contribute directly to the implementation of platform capabilities through hands-on coding, automation, and system design. 

• Improve continuous delivery and deployment capabilities to enable reliable, low-friction software releases from source control to production. 

• Support and enhance progressive delivery practices such as canary rollouts, deployment health monitoring, and uptime protection. 

• Lead the adoption and evolution of service mesh capabilities, including traffic management, service connectivity, and platform observability. 

• Define and improve secrets and key management practices using platforms such as HashiCorp Vault, AWS SSM, and KMS, ensuring strong security and audit readiness. 

• Drive compliance-aligned infrastructure capabilities to support internal controls, audit requirements, and future financial-grade security expectations. 

• Lead the design and execution of Agoda’s Platform Identity Access Management (PIAM) initiative, expanding identity and access controls beyond Kubernetes to cover VMs, bare metal infrastructure, laptops, mobile devices, and other platform connections. 

• Partner with security, infrastructure, and engineering stakeholders to gather requirements, define architecture, and develop a roadmap for PIAM implementation. 

• Solve complex technical challenges across platform engineering, infrastructure automation, distributed systems, security, and reliability. 

• Set a high technical bar through strong engineering judgment, code quality, system design, and operational excellence. 

• Capture, document, and share best practices to improve platform consistency, maintainability, and engineering effectiveness. 

What You’ll Need to Succeed 

• Extensive experience in platform engineering, infrastructure engineering, site reliability engineering, or DevOps roles in large-scale production environments. 

• Proven experience in senior, staff, principal, or equivalent technical leadership roles with significant system ownership and architectural responsibility. 

• Strong hands-on expertise with Kubernetes and containerized platforms, including operating multi-cluster or multi-region environments at scale. 

• Strong software engineering ability with hands-on coding experience in Golang; proficiency in Python, Bash, or Shell scripting is also highly valuable. 

• Proven ability to design, build, and operate robust platform systems through code, not only through architecture or coordination. 

• Strong experience designing, building, and operating complex distributed systems with high reliability and performance requirements. 

• Strong understanding of networking, service-to-service communication, and infrastructure architecture in large distributed environments. 

• Experience leading and improving continuous delivery / CI/CD capabilities and deployment workflows for engineering organizations. 

• Hands-on experience with service mesh technologies such as Istio, and a solid understanding of traffic management and platform observability patterns. 

• Strong experience with secret management, encryption, and platform security controls, including technologies such as HashiCorp Vault, AWS SSM, and KMS or equivalent solutions. 

• Experience working with compliance, audit, or security-sensitive infrastructure requirements. 

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The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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

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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