Staff Software Engineer – Data Platforms

About the Opportunity

We are seeking a Staff Software Engineer – Data Platforms to join our founding R&D team in Ho Chi Minh City.

In this role, you will lead the architecture and evolution of large-scale distributed backend systems, graph-oriented data platforms, and high-performance data pipelines that power SaaS security solutions and AI-driven products.

Beyond hands-on technical leadership, you will help shape architectural strategy, mentor engineers across the organization, and establish engineering best practices as the Vietnam engineering hub continues to grow.

This opportunity is ideal for experienced engineers who are passionate about building foundational platforms, solving complex distributed systems challenges, and delivering products that serve enterprise customers worldwide.

Key Responsibilities

• Drive the architecture and development of scalable distributed backend services and graph-based data platforms.

• Lead the design and implementation of high-volume, low-latency data processing and ingestion systems using Python and Go.

• Provide technical leadership through architecture reviews, code reviews, mentorship, and engineering guidance.

• Partner closely with product, platform, and security research teams to deliver scalable product capabilities.

• Anticipate operational and architectural risks, designing resilient and observable systems that maintain reliability at scale.

• Work effectively with globally distributed teams through clear technical documentation and asynchronous collaboration practices.

What We‘re Looking For

• 10+ years of software engineering experience, with significant experience in backend and distributed systems.

• Deep proficiency in Python and Go.

• Proven experience designing, building, and operating large-scale distributed systems in production, including consensus, replication, partitioning, backpressure, and idempotency.

• Hands-on 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.

• Track record of leading cross-team technical initiatives and driving technical alignment.

Preferred Qualifications

• Experience developing cybersecurity or security-focused software products.

• Background in graph analytics, knowledge graphs, entity relationships, or risk intelligence systems.

• Familiarity with query engines, query optimization strategies, graph traversal frameworks, or custom query layers.

• Experience with observability and real-time data processing technologies such as Grafana, Prometheus, OpenTelemetry, Apache Flink, or Spark Streaming.

• Contributions to open-source projects related to distributed systems, graph technologies, or large-scale data infrastructure.

AI-Driven Engineering Environment

As part of an engineering organization that embraces AI, Staff Engineers are expected to leverage AI technologies effectively and help build platforms that support AI-powered applications.

Successful candidates should have experience or familiarity with:

• AI-assisted development tools and the ability to critically assess AI-generated code and recommendations.

• Core AI and machine learning concepts, including large language models (LLMs), embeddings, vector databases, model inference, and evaluation methodologies.

• Designing and operating data infrastructure that enables AI use cases such as Retrieval-Augmented Generation (RAG), while maintaining scalability, reliability, and security.

• Supporting performance, observability, and operational excellence across AI-enabled systems.

Why Join Us

• Become part of the founding engineering team of a rapidly expanding Vietnam R&D center backed by strong long-term investment.

• Work on sophisticated distributed systems, graph data platforms, and AI-powered security products used by enterprise customers worldwide.

• Play a key role in shaping architecture, engineering standards, and long-term technical strategy from the early stages.

• Collaborate with highly experienced global engineering and security research teams.

• Tackle complex technical challenges with meaningful business and customer impact.

Working Model

This position is based in Ho Chi Minh City and follows a primarily office-based working model during the early growth phase of the engineering hub, with an expectation of at least three days per week onsite.

Close in-person collaboration during this stage will help the team accelerate decision-making, build strong technical partnerships, and establish a high-performing engineering culture as the organization scales.