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qode.world
qode.world
11 – 50 Employees
Artificial IntelligenceConsultingLogistics
qode.world develops artificial intelligence tools and services for recruiting teams. Its platform helps users discover candidates through large-scale data sourcing, generate data-driven insights, connect with prospects directly, conduct tailored AI-led interviews, and produce candidate assessments. LinkedIn integration extends sourcing and communication workflows, while additional recruiting support is available for niche and senior hiring needs. The company operates across artificial intelligence and consulting, with a team of 11–50 employees.
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Senior Backend Engineer (Python/Go) – Ho Chi Minh City Hybrid

Build distributed backend and graph-data systems for a SaaS cybersecurity company using Python and Go. You’ll develop high-throughput pipelines and AI-ready infrastructure in Ho Chi Minh City.

VNVietnamHybridFull-timeSeniorEnglish RequiredBackend EngineerSoftware Engineer
AWSCloudDistributed SystemsDockerGoGoogle Cloud PlatformKafkaKubernetesNeo4jNoSQLPostgresPythonRedis

Description

  • Design and deliver large-scale distributed backend services and graph-based data models
  • Build high-throughput, low-latency ingestion and processing pipelines with Python and Go
  • Lead major features from technical design through production deployment
  • Work with product and security research teams to deliver scalable capabilities
  • Anticipate production risks and create observable, resilient systems that protect customers from disruption
  • Participate in architecture reviews, code reviews, and technical engineering discussions
  • Help shape an AI-focused engineering culture and develop systems ready for AI workloads
  • Apply AI development tools thoughtfully while strengthening infrastructure reliability and AI readiness

Requirements

  • Bring at least 7 years of software engineering experience, including substantial backend development
  • Demonstrate strong proficiency in Python and/or Go
  • Have designed, built, and operated production distributed systems involving replication, partitioning, backpressure, and idempotency
  • Have worked with graph data and databases such as Neo4j, JanusGraph, Neptune, TigerGraph, or comparable technologies
  • Understand storage and streaming technologies including PostgreSQL, NoSQL databases, S3, Kafka, and Redis
  • Have designed APIs and backend services for high-traffic, multi-tenant environments
  • Be familiar with Docker, Kubernetes, and cloud platforms such as AWS or GCP
  • Communicate effectively in design discussions and produce clear technical documentation
  • Apply secure coding practices covering secrets management, access control, and sensitive-data handling throughout the development lifecycle
  • Protect source code, technical documentation, and customer data while following information security policies in a remote-work environment
  • Work with QA, IT, and ISRM teams to remediate vulnerabilities, manage security risks, and assist with incident investigations when needed
  • Communicate proficiently in English
  • Use AI-powered developer tools comfortably and assess their generated output critically
  • Understand core AI and machine learning concepts including LLMs, embeddings, vector databases, retrieval, inference, and evaluation
  • Be comfortable creating AI-ready data infrastructure such as knowledge graphs, RAG pipelines, feature stores, or vector indexes
  • Support reliability, observability, and performance in AI-powered systems

Benefits

  • Join the founding engineering group for a growing Vietnam R&D hub backed by sustained investment
  • Work on distributed systems, graph-data platforms, and AI-powered security products serving enterprise customers worldwide
  • Own substantial product work from initial design through production and help establish engineering practices early
  • Partner closely with experienced engineering and security research teams across the global organization
  • Tackle complex technical challenges with direct product impact
  • Work primarily from the office in a highly collaborative team environment

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