Senior Software Engineer (Data Systems) at Qode

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, Distributed Systems, Graph Databases, Neo4j, PostgreSQL, NoSQL, Kafka, Redis, Docker, Kubernetes, AWS, GCP, RAG Pipelines, Vector Databases

Industry

Software Development

Description

Senior Software Engineer - Data Systems 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 Design, develop, and maintain robust, large-scale distributed backend systems and intricate graph-based data models. Build and optimize high-throughput, low-latency data ingestion and processing pipelines utilizing Python and Go. Take full ownership of critical features, managing them from initial technical design and architecture through to successful production deployment and ongoing operation. Collaborate closely with product management and security research teams to conceptualize and deliver new, scalable capabilities that address complex security challenges. Proactively identify potential production risks and implement resilient, observable solutions to prevent customer-impacting issues. Engage in collaborative engineering practices, including thorough design reviews, rigorous code reviews, and constructive technical discussions to elevate team knowledge and code quality. Contribute to the development and maintenance of AI-ready data infrastructure, such as knowledge graphs, RAG pipelines, feature stores, or vector indexes. Ensure the reliability, observability, and performance of AI-driven systems. Required Skills & Qualifications 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. 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 Attractive salary range and we are open to negotiate if you're a strong fit Flexible hours, async teamwork, 15 days of paid annual leave alongside all official public holidays Work equipment support Receive statutory insurance (BHXH, BHYT, BHTN) starting from your first day of work. Allowance for Certification & Skill Development Year-end bonus & performance-based rewards Career growth with personal coaching sessions Open, collaborative team culture - no micromanagement, only trust Tools & AI-powered workflows that make remote work easier Join the founding engineering team of a growing Vietnam R&D hub with strong long-term investment. 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.

Responsibilities

Design and implement large-scale distributed backend systems and high-throughput data pipelines for cybersecurity and AI platforms. Take full ownership of critical features from technical architecture through to production deployment and operation.