Get To Know Our Team:

We’re building and operating Agoda’s high‑performance analytics platform that powers BI and product decisioning at scale. Our team partners closely with Data Engineering, BI, and Product to deliver governed, reliable, and cost‑efficient analytical data services. We work hands-on with distributed systems in production, with strong engineering ownership (SLOs, observability, incident response) and the opportunity to contribute back to open source.

The Opportunity:

This role is for an experienced backend engineer to design, build, and operate our StarRocks-based analytics platform. You’ll drive scalable, low‑latency analytical services with high concurrency and sub‑second query performance, while extending StarRocks capabilities and improving platform reliability and efficiency. The scope is open from Senior through Principal, depending on impact and leadership.

What You’ll Do:

• Design, implement, and operate StarRocks clusters to support high concurrency and sub‑second analytical queries at scale.
• Plan and execute StarRocks upgrades and patch rollouts with minimal downtime (canary/blue‑green), including compatibility validation, regression testing, and rollback plans.
• Develop features, extensions, and performance improvements to increase StarRocks stability and throughput; contribute upstream when broadly useful.
• Build backend services and tooling around StarRocks for ingestion, connectors, governance, and observability.
• Optimize query performance using materialized views, partitioning, statistics, and resource groups; make cost/performance trade‑offs.
• Implement multi‑tenant controls, RBAC, auditing, and data protection to ensure governed access.
• Automate operations (provisioning, autoscaling, backup/restore, upgrades) using Kubernetes and Infrastructure as Code.
• Collaborate with Data Engineering, BI, and Product on data modeling and semantic layers.
• Define and monitor SLOs, build dashboards, participate in on‑call rotations, and lead performance/reliability incident response.

Required Qualifications:

• 6+ years of backend engineering and/or distributed systems experience (or equivalent impact).
• Expert proficiency in modern C++ (C++17/20), especially for performance‑critical systems (concurrency, memory management, templates, profiling).
• Strong foundations in algorithms, concurrency, networking, and Linux systems.
• Hands-on experience with at least one MPP/OLAP system such as StarRocks, ClickHouse, Presto/Trino, Druid, Pinot, Doris, Impala, etc.
• Practical expertise in query tuning and columnar analytics concepts (e.g., vectorized execution, statistics, cost-based optimization).
• Proven experience operating distributed systems in production (monitoring, alerting, incident response, capacity planning).
• Experience with containers and orchestration (Docker, Kubernetes) and Infrastructure as Code (Terraform/Helm/Ansible).
• Strong communication skills and ability to partner effectively across platform, BI, and infrastructure teams.

Preferred Qualifications:

• Direct experience with StarRocks internals (FE/BE), materialized views, tablet management, and Lakehouse/Iceberg integration.
• Contributions to open-source OLAP/DBMS projects (StarRocks or related ecosystems).
• Experience building streaming ingestion (Kafka, Flink) and batch ingestion (Spark) into OLAP stores.
• Knowledge of data governance, security, and compliance for analytics platforms.
• Familiarity with cloud object storage and Lakehouse table formats (Iceberg, Delta, Hudi) and S3/GCS-compatible storage.
• Deep performance tuning experience (profilers, SIMD/vectorization, CPU/memory optimization).

#Bangkok #Thailand

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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.

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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.

Employment Type: Full-time & Permanent 

Location: Dubai, UAE (Initial), Phuket, Thailand (From November 2026) Visa sponsorship and relocation assistance provided for both locations if needed. 

Monthly Base Salary range of THB 217,000 – THB 300,000 per month (DOE) + performance-based bonus + opportunity to join our employee share scheme 

About Cobblestone Energy 

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

The Phuket Roadmap 

This role offers a unique global career path. To ensure seamless integration into our culture and trading strategies, the successful candidate will begin their journey at our Dubai headquarters. In November 2026, the role will transition permanently to our upcoming hub in Phuket, Thailand, offering a blend of high-impact work and an exceptional lifestyle. 

Cobblestone Values

• Excellence in Hiring & Teamwork 
• Lifelong Learning Through Continuous Reflection 
• Independent Thinking Through a Meritocracy of Ideas 
• Winning 

Job Description  

We are looking for an Exceptional Software Engineer to join our automated trading team, focused on building and optimizing high-performance automated trading systems and supporting infrastructure. In this role, you will collaborate closely with traders, quantitative analysts, and infrastructure specialists to develop robust, scalable, and innovative solutions that directly impact our firm's trading operations. 

What we offer in this role   

• Competitive remuneration with rapid progression for strong performers.  
• Leadership opportunities on impactful technical initiatives.  
• Participation in the employee share scheme.  
• Internation relocation support.  
• Exposure to the commercial side of the business.  
• A highly collaborative and open working culture. 

Requirements 

• BS/BE in Computer Science, Software Engineering, or a related discipline 
• 2 to 5 years of hands-on software development experience in C#, C++ or Python 
• Proven experience building or contributing to trading systems with an understanding of orderbook structure, own order management and trade execution 
• Strong understanding of database design and system architecture for low latency systems 
• Ability to lead discussions, make sound architectural decisions, and deliver results 
• Strong communication skills and a collaborative mindset 
• Resilient, self-driven and aligned with Cobblestone's values 

Responsibilities 

• Design, develop, and optimize high-performance automated trading and infrastructure systems. 
• Collaborate closely with traders, quant analysts, and infrastructure teams to deliver solutions supporting quantitative trading strategies. 
• Develop robust, scalable software components to manage real-time market data pipelines, automated order execution, and risk management processes. 
• Ensure system reliability through automated testing, code reviews, and continuous integration and deployment practices. 
• Monitor and improve system performance, latency, and throughput in a fast-paced trading environment. 
• Investigate and resolve complex technical issues in production systems swiftly and accurately. 
• Maintain comprehensive documentation of software systems and processes to facilitate knowledge sharing and system support. 
• Participate in regular code reviews and adhere to established coding standards and best practices. 
• Contribute to continuous innovation through researching new technologies and tools to enhance the trading platform. 
• Mentor and support junior engineers. 

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

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

Get to know our team:  

Finance RPA & AI Team at Agoda: We build automation solutions that save efficiency hours, reduce operational risk, and ensure compliance across core finance processes. Our team partners with business units to build workflows, embed governance, and deliver measurable impact. We stay ahead by adopting the latest in RPA, AI, OCR, and process mining, ensuring our systems remain scalable and future ready.

The opportunity: 

As a Finance RPA Intern at Agoda, you will gain hands-on experience working with cutting-edge automation and AI technologies in a global, tech-driven environment. You will have the chance to work on real financial systems, assist in designing and testing automation workflows, and learn how RPA and AI are applied to enhance efficiency, accuracy, and compliance in core finance processes. Collaborating with experienced engineers and analysts, you will contribute to innovative projects and process optimizations, while developing practical skills with leading RPA tools. This internship offers valuable mentorship, exposure to industry best practices, and the opportunity to make a meaningful impact on the future of financial automation.

In this role, you'll get to: 

• Build 2–3 flows for finance approvals/notifications, with run‑time monitoring and basic error handling; document each flow end‑to‑end.
• Develop one Blue Prism Object + one Process (e.g., data validation/reconciliation step), adhering to Control Room scheduling, work queues, and release conventions.
• Produce formal PDD/SDD packs for all automations (as per Agoda templates) including process maps, assumptions, exceptions, and test cases.
• Embed governance & compliance controls: participate in RnC walkthroughs, apply maker–checker, audit trails, and secure credential storage (e.g., Azure Key Vault for PA).
• Execute UAT and stabilize to BAU, capturing defect lists, exception‑routing rules, and rollback procedures; publish a go‑live checklist.
• Set up run‑time monitoring & support: Control Room dashboards/alerts for Blue Prism and flow analytics for Power automate

What you'll need to succeed:

• Currently enrolled as a 3rd-year student or below and will maintain student status throughout the internship period.
• Available to participate in the internship program from 22nd of May to 31st July 2026 (10-week program)
• Proficiency in Microsoft 365
• Great English communication skills in both spoken and written forms
• Structured logical thinking and problem-solving skills. Strong numerical acumen
• Positive attitude and openness to learn and adapt
• Ability to work in a fast-paced, dynamic, multicultural environment
• Proficiency in programming languages (e.g., Python, Java, C++, JavaScript)

It's great if you have: 

• Proficiency in Microsoft Excel: Formulas and functions (e.g., VLOOKUP, SUMIF) and Macros and VBA programming for automation
• Experience in workflow building

#students #1 #summerinternship

Duties and responsibilities

● Design and develop software for managing various forms of supply chain and ecommerce
applications. This includes order workflows and inventory related to the sale of goods on e-
commerce sites and shopping channels.
● Design and implement real-time API, asynchronous process, and batch processes for integrating
with external systems.
● Works closely with other team members in a scaled agile development team. Actively
recommend improvements to support aCommerce being a learning organization
● Troubleshoot system and processing failure providing both work-arounds and root cause
analysis to permanently address the issue
● Deploy into and operate large-scale, cloud based distributed systems.
● Develop unit testing, automated functional testing and load testing for improving system
reliability and performance.
● Maintain CI/CD pipelines related to the services under development
● Construct and maintain appropriate unit tests related to code under development
● Mentor younger developers

Capabilities

• At least 5 years of experience working software engineering, software integration or other
  similar roles
• Experience in Python preferred, but we are willing to train. Experience in at least two
  programming languages such as Java, C++ or Ruby is required if the candidate does not have
  prior Python experience.
• Experience with SQL and/or NOSQL databases is required.
• Experience working with a Message Broker (i.e., RabbitMQ, JMS, Kafka) is required.
• Experience with Javascript and Front End frameworks is required.
• Experience with in-memory data stores such as Redis is preferred
• Strong knowledge and background of Software Development Life Cycle activities (Design,
  Implementation, Code Review, Unit Testing, Debugging, and Release) with experience in agile
  practices strongly preferred
• Awareness of the demands of building cloud-based applications required. Experience of
  developing and running applications in a Kubernetes ecosystem preferred
• Experience using Unit Test frameworks is required.
• Experience with automated testing technologies like Selenium, Robot Framework, or Cucumber
  is a nice plus.
• Strong analytical and problem skills as well as an attention to details
• Self-motivated, multitasking, pressure-tolerant, result-oriented personality with excellent
  communication, interpersonal, team building and time-management skills
• As aCommerce works in multiple countries in Southeast Asia, the ability to communicate in
  English, both written and oral form is required.
• Ability to work effectively within an agile development team.