Qode
Cybersecurity
StaffSoftwareEngineer(DataSystems)
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“Staff Software Engineer (Data Systems) at Qode. Skills: Data Systems, Distributed Systems, Graph Databases, Data Pipelines. Architect distributed backend systems. Expand distributed backend systems”
What You'll Achieve.
Deliver new capabilities at scale
Industry & Context.
Identify systemic risks; Design resilient solutions
What They're Looking For.
Must Have
10+ years software engineering experience, Significant backend experience, Significant distributed systems experience, Deep proficiency in Python, Deep proficiency in Go, Design, build, operate distributed systems, Hands-on graph data experience, Hands-on graph databases experience, Experience designing APIs, Experience designing backend services, Familiarity with Docker, Familiarity with Kubernetes, Familiarity with AWS, Familiarity with GCP, Track record leading technical initiatives, Track record driving technical alignment, Use AI tools effectively, Contribute to AI-ready systems, Evaluate AI-generated outputs
Nice to Have
Experience building cybersecurity products, Background in graph-based analytics, Background in knowledge graphs, Background in relationship-driven risk modeling, Exposure to query engines, Exposure to query optimization, Exposure to custom traversal layers, Exposure to custom query layers, Experience with observability tools, Experience with stream processing tools, Open-source contributions
What You'll Do.
Architect distributed backend systems
Expand distributed backend systems
Architect graph-based data models
Expand graph-based data models
Lead design of data ingestion pipelines
Lead design of data processing pipelines
Mentor senior engineers
Mentor mid-level engineers
Conduct design reviews
Provide technical coaching
Partner with product teams
Partner with security research teams
Deliver new capabilities
Identify systemic risks
Design observable solutions
Design resilient solutions
Collaborate with global teams
Contribute to AI-ready data infrastructure
Support RAG use cases
Ensure infrastructure reliability
Ensure infrastructure security
Ensure infrastructure performance
Utilize AI-powered developer tools
Critically evaluate AI outputs
How You'll Work.
Team & Collaboration
Partner with product teams; Partner with security research teams; Collaborate with global teams; Async decision-making
Full Job Description
**Staff Software Engineer - Data Systems** **Location:** Ho Chi Minh City, Vietnam **Workplace Type:** Hybrid **About the Role** 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. We are looking for a Staff Software Engineer - Data Systems to join the founding R&D team in Ho Chi Minh City. You will architect and expand large-scale distributed backend systems, graph-based data models, and high-throughput data pipelines that power SaaS security and Agentic AI platforms. **Key Responsibilities** * Architect and expand large-scale distributed backend systems and graph-based data models. * Lead the design of high-throughput, low-latency data ingestion and processing pipelines using Python and Go. * Mentor senior and mid-level engineers through design reviews, code reviews, and technical coaching. * Partner with product and security research teams to deliver new capabilities at scale. * Identify systemic risks and design observable, resilient solutions before they become customer-impacting issues. * Collaborate with global teams through clear documentation and async decision-making. * Contribute to the development and maintenance of AI-ready data infrastructure supporting use cases like RAG, ensuring reliability, security, and performance. * Effectively utilize AI-powered developer tools and critically evaluate AI-generated outputs to enhance productivity and code quality. **Required Skills & Qualifications** * 10+ years of software engineering experience, with significant experience in backend and distributed systems. * Deep proficiency in Python and Go. * Proven exp
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