Location:
Ho Chi Minh City, Vietnam
Workplace Type:
Hybrid
About The Role
We are seeking a highly skilled Senior Software Engineer specializing in Data Systems to join the foundational R&D team in Ho Chi Minh City. This pivotal role involves designing and implementing large-scale distributed backend systems, sophisticated graph-based data models, and high-throughput data pipelines that are critical to our client's cutting-edge SaaS cybersecurity and Agentic AI platforms.
Key Responsibilities
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Design, develop, and maintain robust, large-scale distributed backend systems and intricate graph-based data models
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Build and optimize high-throughput, low-latency data ingestion and processing pipelines utilizing Python and Go
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Take full ownership of critical features, managing them from initial technical design and architecture through to successful production deployment and ongoing operation
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Collaborate closely with product management and security research teams to conceptualize and deliver new, scalable capabilities that address complex security challenges
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Proactively identify potential production risks and implement resilient, observable solutions to prevent customer-impacting issues
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Engage in collaborative engineering practices, including thorough design reviews, rigorous code reviews, and constructive technical discussions to elevate team knowledge and code quality
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Contribute to the development and maintenance of AI-ready data infrastructure, such as knowledge graphs, RAG pipelines, feature stores, or vector indexes
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Ensure the reliability, observability, and performance of AI-driven systems
Required Skills & Qualifications
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7+ years of software engineering experience, with significant experience in backend systems
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Strong proficiency in Python and/or Go
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Hands-on experience designing, building, and operating distributed systems in production, including replication, partitioning, backpressure, and idempotency
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Experience with graph data and graph databases such as Neo4j, JanusGraph, Neptune, TigerGraph, or similar tools
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Strong understanding of storage and streaming systems, including PostgreSQL, NoSQL databases, S3, Kafka, and Redis
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Experience designing APIs and backend services for high-traffic, multi-tenant workloads
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Familiarity with Docker, Kubernetes, and cloud platforms such as AWS or GCP
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Strong communication skills, including the ability to contribute to design discussions and write clear technical documents
Nice to Have
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Experience building cybersecurity products
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Background in graph-based analytics, knowledge graphs, or relationship-driven risk modeling
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Exposure to query engines, query optimization, or traversal and query layers
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Experience with observability or real-time stream processing tools such as Grafana, Prometheus, OpenTelemetry, Flink, or Spark Streaming
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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:
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Using AI-powered developer tools and critically evaluating AI-generated outputs
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Core AI/ML concepts such as LLMs, embeddings, vector databases, retrieval, inference, and evaluation
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Building AI-ready data infrastructure such as knowledge graphs, RAG pipelines, feature stores, or vector indexes
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Supporting reliability, observability, and performance in AI-driven systems
Why You'll Enjoy Working With This Team
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Attractive salary range and we are open to negotiate if you're a strong fit
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Flexible hours, async teamwork, 15 days of paid annual leave alongside all official public holidays
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Work equipment support
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Receive statutory insurance (BHXH, BHYT, BHTN) starting from your first day of work
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Allowance for Certification & Skill Development
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Year-end bonus & performance-based rewards
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Career growth with personal coaching sessions
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Open, collaborative team culture - no micromanagement, only trust
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Tools & AI-powered workflows that make remote work easier
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Join the founding engineering team of a growing Vietnam R&D hub with strong long-term investment
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Own meaningful product features from design to production and contribute to engineering standards from an early stage
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Collaborate closely with experienced global engineering and security research teams