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Senior Software Engineer, Data Platform

Qode

Hybrid
Ho Chi Minh City, Vietnam
Full-time
Senior
7+ yrs
Salary not listedPosted 41m ago

Real job — pulled straight from Qode’s careers page · Verified September 9, 2026 · No reposts.

Job description

Qode is hiring a Senior Software Engineer, Data Platform — a full-time, based in Ho Chi Minh City, Vietnam role. Apply directly on Qode's careers page below.

Senior Software Engineer - Data Platform

Location: Ho Chi Minh, Ho Chi Minh, Vietnam

Workplace: hybrid

Employment Type: full

Description

Senior Software Engineer - Data Platform

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.

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Frequently asked questions

What skills are required for Senior Software Engineer, Data Platform at Qode?

The required skills for Senior Software Engineer, Data Platform at Qode include: Python, Go, PostgreSQL, NoSQL, S3, Kafka, Redis, Docker, Kubernetes, AWS, GCP, LLM, RAG.

What is the seniority level for Senior Software Engineer, Data Platform at Qode?

Senior Software Engineer, Data Platform at Qode is a Senior level position.

How do I apply for Senior Software Engineer, Data Platform at Qode?

You can view the full description and apply for Senior Software Engineer, Data Platform at Qode on EchoJobs: https://echojobs.io/job/qode-senior-software-engineer-data-platform-d41sy.