# Senior Backend Engineer (Python and/or Golang) - Data System > Qode · Ho Chi Minh, Vietnam (Hybrid) · Full-time · Posted 2026-10-02 **Workplace:** hybrid ## Description ****About the Client**** - Our client is a US-based SaaS cybersecurity company building a platform that helps enterprise customers reduce risk, detect threats, and prevent breaches across the applications where modern businesses operate. - As the company continues to scale globally, they are establishing a long-term R&D hub in Ho Chi Minh City. The Vietnam team will work on core product and platform initiatives from day one, with increasing ownership over critical areas of the platform. - This is an opportunity to join the founding engineering team, work on customer-critical systems at scale, and help shape the technical standards, engineering culture, and long-term growth of a new R&D organization in Vietnam. **About the Role** - We are looking for a Senior Software Engineer - Data Systems to join the founding R&D team in Ho Chi Minh City. - You will work on large-scale distributed backend systems, graph-based data models, and high-throughput data pipelines that power SaaS security and Agentic AI platforms. - This role is ideal for engineers who enjoy solving complex backend problems, owning meaningful features from design to production, and contributing to a high-impact product used by enterprise customers worldwide. **What You Will Do** - Design and build large-scale distributed backend systems and graph-based data models. - Develop high-throughput, low-latency data ingestion and processing pipelines using Python and Go. - Own significant features end-to-end, from technical design to production rollout. - Partner with product and security research teams to deliver new capabilities at scale. - Identify production risks and build observable, resilient solutions before they become customer-impacting issues. - Collaborate with engineers through design reviews, code reviews, and technical discussions. **What We Are Looking For** - 7+ years of software engineering experience, with significant experience in backend systems. - Strong proficiency in **Python and/or Go****.** - Hands-on experience **designing, building, and operating** **distributed systems in production**, including replication, partitioning, backpressure, and idempotency. - Experience with graph data and **graph databases** such as _Neo4j, JanusGraph, Neptune, TigerGraph_, or similar tools. - Strong understanding of storage and streaming systems, including PostgreSQL, NoSQL databases, S3, Kafka, and Redis. - Experience **designing APIs and backend services** for _high-traffic, multi-tenant workloads_. - Familiarity with Docker, Kubernetes, and cloud platforms such as AWS or GCP. - Strong communication skills, including the ability to contribute to design discussions and write clear technical documents. - Solid understanding and application of secure coding practices, including secrets management, access control, and handling of sensitive data throughout the software development lifecycle. - Strong awareness of protecting source code, technical documentation, and customer data, while complying with company information security policies in a remote working environment. - Ability to collaborate with QA/IT/ISRM teams to remediate vulnerabilities, address information security risks, and support incident investigation when required. - **Strong proficiency in English communication**. _Nice to Have_ - Experience **building cybersecurity products.** - Background in graph-based analytics, knowledge graphs, or relationship-driven risk modeling. - Exposure to query engines, query optimization, or traversal and query layers. - Experience with observability or real-time stream processing tools such as Grafana, Prometheus, OpenTelemetry, Flink, or Spark Streaming. - Contributions to open-source distributed systems or graph-related projects. **AI-Native Engineering Expectations** - As part of an AI-forward engineering environment, senior engineers are expected to use AI tools thoughtfully and contribute to AI-ready systems. - You should be comfortable with: - Using AI-powered developer tools and critically evaluating AI-generated outputs. - Core AI/ML concepts such as LLMs, embeddings, vector databases, retrieval, inference, and evaluation. - Building AI-ready data infrastructure such as knowledge graphs, RAG pipelines, feature stores, or vector indexes. - Supporting reliability, observability, and performance in AI-driven systems. **Why You’ll Enjoy Working With This Team** - Join the founding engineering team of a growing Vietnam R&D hub with strong long-term investment. - Work on large-scale distributed systems, graph data platforms, and AI-driven security products used by enterprise customers globally. - Own meaningful product features from design to production and contribute to engineering standards from an early stage. - Collaborate closely with experienced global engineering and security research teams. - Solve technically challenging problems with meaningful product impact. **Working Model** This role is based in **Ho Chi Minh City** and is expected to be primarily in-office during the founding stage (at least 3 days per week). Working closely together will help the early team collaborate effectively, build technical trust, and establish a strong engineering culture as the R&D hub grows. ## Apply [Apply at Qode](https://apply.workable.com/qodeworld/j/E2DD3A3766/apply) --- Powered by [Workable](https://www.workable.com)