Senior Backend Engineer (Python and/or Golang) - Data System

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 inPython and/or Go.
• Hands-on experiencedesigning, building, and operatingdistributed systems in production, including replication, partitioning, backpressure, and idempotency.
• Experience with graph data andgraph databasessuch asNeo4j, JanusGraph, Neptune, TigerGraph, or similar tools.
• Strong understanding of storage and streaming systems, including PostgreSQL, NoSQL databases, S3, Kafka, and Redis.
• Experiencedesigning APIs and backend servicesforhigh-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

• Experiencebuilding 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 inHo Chi Minh Cityand 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.