技术架构师（兴趣表达）
Technical Architect (Expression of Interest)
Staff Engineer / Technical Architect (Brahma Studio)
地点：远程 —— UTC+0 至 UTC+3 时区
Brahma AI 在企业媒体资产管理（MAM）和生成式媒体的交汇点运作，管理超过一亿个素材和100 PB的归档数据。
我们正在寻找一位务实、亲力亲为的 Staff Engineer / Technical Architect，作为 Brahma Studio 的系统设计权威。在这一职位上，你将负责 Studio 平台的架构蓝图和技术标准化——确保系统在执行前经过严谨的思考、架构设计和文档记录。虽然你是架构方面的权威，但你仍会贴近代码库，编写高影响力的 Python 软件，并在无自上而下官僚主义的敏捷环境中以身作则地领导技术执行。
核心战略目标
- 担任系统设计权威：通过主导前期系统设计、服务边界定义和架构文档（ADRs/RFCs），建立 Brahma Studio 中单一的技术真相来源。
- 跨领域架构对齐：与组织内其他架构师合作，评估依赖关系，协商技术限制，并确保 Studio 平台能与共享公司基础设施良好集成。
- 推动务实简化：用可维护的设计模式替代临时解决方案，优化构建流程并缩小过大的 Docker 容器。
- 精通 Python 和 GCP：推动基于 Python 和原生 GCP 基础设施的高吞吐量数据处理系统的架构演进。
- 通过生产代码引领：在架构领导与实际开发之间取得平衡，编写干净的生产代码并指导工程团队。
技术与运营职责
1. 系统设计与治理
- 主导 Studio 项目的端到端系统设计，在实施前评估可扩展性、数据流和权衡方案。
- 与产品负责人、Studio 工程师和其他 Brahma AI 架构师合作，就跨平台功能达成一致，评估技术权衡并协商接口协议。
- 编写和维护技术规格、RFCs、ADRs 和清晰的 API 协议，以建立可重复使用的设计模式和团队内的标准化软件模式。
- 在前期解决方案设计和技术规格中直接纳入性能限制、压力测试考虑因素和系统弹性。
查看英文原文
Staff Engineer / Technical Architect (Brahma Studio)
Location: Remote — UTC+0 to UTC+3 time zones
Brahma AI operates at the intersection of enterprise Media Asset Management (MAM) and generative media, managing over 100 million assets and 100 PB archives.
We are seeking a pragmatic, hands-on Staff Engineer / Technical Architect to serve as the system design authority for Brahma Studio. In this role, you will own the architectural blueprint and technical standardisation of our Studio platform—ensuring systems are rigorously thought through, architected, and documented before execution begins. While you will be the authority on architecture, you will remain close to the codebase, writing high-impact Python software and leading technical execution by example in an agile environment free from top-down bureaucracy.
Core Strategic Objectives
- Own System Design Authority: Establish single-source technical truth across Brahma Studio by leading upfront system design, service boundary definitions, and architectural documentation (ADRs/RFCs).
- Cross-Domain Architectural Alignment: Collaborate with peer architects across the broader organization to evaluate dependencies, negotiate technical constraints, and ensure Studio platforms integrate cleanly with shared company infrastructure.
- Drive Pragmatic Simplification: Replace expedient workarounds with maintainable design patterns, streamlining build pipelines and optimizing oversized Docker containers.
- Mastery of Python & GCP: Drive the architectural evolution of high-volume data processing systems built on Python and native GCP infrastructure.
- Lead Through Production Code: Balance architectural leadership with hands-on development, writing clean production code and mentoring engineering teams.
Technical and Operational Responsibilities
1. System Design & Governance
- Lead end-to-end system design for Studio initiatives, evaluating scalability, data flows, and trade-offs before implementation begins.
- Partner with Product leads, Studio engineers, and peer architects across Brahma AI to align on cross-platform features, evaluate technical trade-offs, and negotiate interface contracts.
- Author and maintain technical specs, RFCs, ADRs, and clear API contracts to establish reproducible design patterns and standardized software patterns across the team.
- Factor performance limits, stress testing considerations, and system resilience directly into upfront solution designs and technical specs prior to build kickoff.
2. Codebase Hygiene & Refactoring
- Audit and optimize production Docker builds to drastically reduce container footprints and deployment complexity.
- Systematically replace expedient workarounds with maintainable abstractions, enforcing automated testing and code quality standards.
3. GCP Architecture & High-Volume Data Systems
- Architect, profile, and optimize distributed, high-throughput data processing pipelines leveraging native Google Cloud Platform (GCP) services.
- Implement robust observability, logging, and error handling across cloud-native microservices to ensure data reliability.
4. Software Engineering & Mentorship
- Actively write production-grade Python code for core platform modules and critical frameworks.
- Review code with a focus on system design and maintainability, mentoring senior engineers in structured architectural thinking.
Experience and Qualifications
1. Professional Background
- 8+ years of software engineering experience, focused on backend system design and high-volume enterprise data processing.
- Proven track record as a system design authority (Staff Engineer, Principal Engineer, or Architect) with experience evaluating complex edge cases before building.
2. Technical Skills
- Expert Python: Idiomatic mastery of modern Python (asyncio, type hinting, performance profiling, memory management).
- GCP-Native Expertise: Deep experience designing and operating architectures on Google Cloud Platform.
- Containerization: Strong expertise in multi-stage Docker builds and container optimization.
- Working Knowledge of Go: Ability to read, write, or integrate Go-based microservices where concurrency demands it.
Originally posted on Himalayas