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Middle / Senior Backend Engineer

Công Ty Cổ Phần Chứng Khoán KAFI · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • Design and build scalable, event-driven backend systems using microservices architecture, leveraging Kafka, NATS Jetstream, Redis Stream, or similar streaming platforms.
  • Pair with AI agents on per-unit code generation — review the agent's file plan before execution, edit when necessary, approve to proceed. Verify generated code line-by-line for architecture boundary violations, missing audit hooks, and hardcoded configuration.
  • Apply the AI Review Checklist before every commit: grounded · no secrets · scope respected · reversible · human-decidable.
  • Own build instructions and the build lifecycle per unit— verify that declared NFRs and compliance extensions fire correctly in the code you ship.
  • Develop and enhance backend services that integrate with core trading systems (equities, derivatives), enabling flexible capabilities such as order management, margin products, and fee logic.
  • Build and operate systems capable of handling high transaction volumes (hundreds of thousands per day), ensuring strong scalability, availability, and observability.
  • Open Architecture Decision Records (ADRs) when generated code would create a new trade-off the Solution Architect has not accounted for. Surface contradictions with the project knowledge base early.
  • Collaborate with Solution Architects, Business Analysts, Project Manager, Product Designers, and DevOps engineers across the AI-DLC workflow — every stage ends in a two-option gate (Request Changes / Continue).
  • Contribute to engineering best practices — coding standards, code reviews, role skill files (.claude/skills/kafi/roles/dev.md), starter prompts, and cross-cutting skills (code-review, security-audit, performance-regression).
  • Participate in roadmap planning, system reviews, and continuous improvement initiatives to enhance both the trading platform infrastructure and the AI-DLC workflow itself.
  • Your Skills and Experience
  • Must-Have:
  • 3+ years of experience in backend software development, with strong proficiency in at least one of: Go, Python, Java or Rust.
  • Solid experience building distributed systems, including microservices architectures, event-driven systems, and streaming platforms (Apache Kafka / NATS Jetstream / Redis Stream or equivalent).
  • Experience designing and building systems for high-throughput or transaction-intensive environments, with strong understanding of scalability, fault tolerance, performance optimization, and observability.
  • Strong knowledge of API design and integration — RESTful services, gRPC, WebSocket, OpenAPI, .proto definitions.
  • Experience with relational and NoSQL databases (PostgreSQL primary, plus MongoDB or similar), including data modeling and performance tuning.
  • Hands-on experience using AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) for meaningful work — with opinions about what works and what does not.
  • Critical thinking about AI-generated code — ability to distinguish “looks right” from “is right,” and to catch what the agent missed.
  • Effective written communication — much of AI-DLC work happens in markdown plans. Precise writing matters.
  • Demonstrated experience in technical leadership, mentoring engineers, conducting code reviews, and contributing to system design decisions.
  • Strong analytical and problem-solving skills, with a proactive, ownership-driven mindset.
  • Nice-to-Have:
  • Experience in trading systems, quantitative platforms, fintech, or capital markets.
  • Familiarity with low-latency or real-time systems, especially in trading or execution contexts.
  • Exposure to securities trading infrastructure such as OMS, market data systems, or trading APIs.
  • Experience integrating with core systems in financial services (e.g., core securities, banking systems).
  • Hands-on with containerization and orchestration (Docker, Kubernetes), CI/CD pipelines, and observability tooling (Prometheus, Grafana, OpenTelemetry).
  • Experience with MCP (Model Context Protocol) servers, Claude Code skills, or other AI agent integration patterns.
  • Interest in authoring developer-experience tooling — skills, starter prompts, role guides.
  • Prior contribution to an AI-augmented workflow at another company.
  • Why You'll Love Working Here

Quyền lợi

Du lịch

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