- Own the architecture end-to-end: design a modular, pluggable risk platform and the services around it.
- Build high-performance streaming pipelines for real-time feature engineering (stateful operators, windows/watermarks, PIT correctness).
- Lead and grow engineers: mentor, run design/code reviews, and raise the quality bar.
- Set the vision and roadmap for stream processing within the team; make build/buy/cost trade-offs explicit.
- Drive operational excellence: SLOs, observability, alerting, runbooks, incident response, and reliability practices.
- Partner cross-functionally with PMs, Data Scientists, and Risk Analysts to align engineering work with risk and business outcomes.
- Productionize ML models for real-time scoring and decisioning (features, online/offline parity, monitoring).
- Continuously improve the platform: identify gaps, lead architectural evolution, and influence long-term strategy.
- Represent the initiative with stakeholders across the company.
- Proven technical leadership: leading projects, mentoring engineers, and shaping architecture.
- Deep expertise in stream processing and distributed systems, especially stateful real-time processing.
- Hands-on experience with Apache Flink (preferred), Spark Structured Streaming, or Apache Beam.
- Strong backend skills in Java/Scala/Python and solid SQL; experience with Kafka or similar event logs.
- Experience building real-time data/feature pipelines, service integrations, and APIs used by ML and risk engines.
- Ability to work across functions, drive alignment, and communicate clearly with technical and non-technical partners.
- A bias for engineering excellence: clean designs, quality code, measurable outcomes.
- Mastery of Flink stateful patterns (RocksDB state backend, checkpoints/savepoints, EOS sinks, rescaling).
- Domain experience in fraud, risk, or AML.
- Familiarity with observability stacks (metrics, logs, traces) and CI/CD for data/streaming jobs.
- Experience designing fault-tolerant, horizontally scalable systems in cloud environments.
- First wave of real-time features live with clear latency/SLA targets and on-call readiness.
- Point-in-time correct online/offline features with a documented backfill/bootstrap strategy.
- A measurable lift in fraud detection or operational efficiency, backed by dashboards and A/Bs.
- Team operating with strong reviews, runbooks, and SLOs; fewer incidents, faster recovery.
- You'll work on systems that directly impact real-time financial decisions, lead talented engineers, and help shape a world-class streaming and risk platform at scale.
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Technical Lead, Fraud - Bangkok, Thailand - Coda
คำอธิบาย
Why CodaCoda is a global growth engine for commerce. We bring together powerful capabilities that connect people, digital products, and payments through our suite of trusted digital monetization and distribution solutions.
We recently acquired Recharge, Europe's leading prepaid payments and digital gift card business, bringing both companies together into one organisation with broader reach, deeper capabilities across B2B and B2C commerce and a stronger global footprint.
Today, we stand as a team of more than 600 people, representing 57 nationalities across 23 locations. We are headquartered in Singapore with offices in Amsterdam, Dubai, Shanghai and other hubs across Southeast Asia.
Our B2B business works with publishers and brands to support growth across markets. We run Codapay for local payment acceptance and Custom Commerce for direct-to-consumer webstores. We manage catalogue, prepaid and distribution services that extend reach globally, and we operate Giftcloud's rewards and incentives capabilities. We take on the operational complexity around payments, tax and compliance so partners can scale with clarity and focus.
On the consumer side, we operate a portfolio of trusted storefronts including Codashop, , , and other local sites that give customers secure and easy access to digital credit, game vouchers, gift cards and prepaid products.
Our people are at the heart of what we do. Coda's culture is centered on respect, clarity, ownership, and collaboration. We work hard and play hard together.
If you're looking for growth and impact in a fast-paced global team, Coda is the place for you.
Engineering - Technology at Coda
At Coda, our goal is to make our mark in the high-volume payments and e-commerce industry – and we are levelling up fast. To stay in stride with the dynamic environment, we focus on building robust, distributed systems that can effortlessly handle traffic spikes. Moreover, our ambitious roadmap necessitates innovative tools to streamline the development lifecycle and sustain our swift momentum.
We place great value on balancing teamwork with individual autonomy, allowing our teams to make the most of modern cloud infrastructure. Our tech stack is solidly based on AWS cloud, with a keen interest in infrastructure-as-code and the creation of new microservices via the Quarkus framework. Our toolbox includes JSON and GRPC, multiple data storage integrations, queues, OpenTelemetry, and more.
But what truly defines us? It's our incredible team. We hire top talent and give them the freedom to push Coda's technology and products to exciting new levels. We believe that genius can strike anywhere, so we promote ownership and cultivate a servant leadership culture that lets engineers take the reins on features.
About the role Coda is building its next-generation risk engineering platform, and we're looking for a hands-on Technical Lead to design and drive a scalable, stateful, real-time fraud detection system. You'll set the technical direction, lead engineers, and partner with Product, Data Science, and Risk to ship resilient, low-latency infrastructure that powers decisions in real time.
Responsibilities
Requirements
Nice to Have
What success looks like (first 6–12 months)
Why join us
Due to the large number of exceptional applications we receive, we can only reach out to shortlisted candidates. If you don't hear from us, rest assured there may be another opportunity at Coda that aligns better with your unique abilities. Remember to check our Careers Page for more exciting job openings We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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