Senior DevOps Engineer
1 week ago
Responsibilities
Efficiency Metrics:
- Build and optimize the company's engineering efficiency data system, defining key performance indicators (e.g., requirement delivery rate, code quality, release efficiency).
- Develop and iterate on engineering efficiency monitoring platforms to ensure continuous improvements.
DevOps & Tooling:
- Plan, design, and lead the development of an integrated DevOps platform and public R&D toolchain.
- Integrate CI/CD pipelines, code quality checks, and automated code scanning tools to enhance development efficiency.
Process Improvement:
- Identify inefficiencies and bottlenecks in the software development lifecycle (SDLC) through research and data analysis.
- Develop and promote standardized workflows (e.g., requirement management, code review processes, release processes) to streamline operations.
Collaboration & Enablement:
- Work closely with development, QA, and product teams to ensure the adoption of engineering efficiency tools and processes.
- Provide training, documentation, and hands-on support to teams implementing best practices.
Requirements
- Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
- 5+ years of experience in engineering efficiency, DevOps, or R&D process optimization.
- Proficient in Golang and Java, with strong foundational knowledge of operating systems, networking, distributed systems, and data structures & algorithms.
- In-depth understanding of SDLC, CI/CD pipelines, and industry-standard development tools (e.g., GitLab, Jenkins, SonarQube, Meegle).
- Experience defining and tracking key engineering metrics (e.g., cycle time, test coverage, code quality metrics).
- Strong data analysis skills using SQL, Python, and other tools to drive data-driven improvements.
- Self-motivated, results-driven, and a strong team player with a problem-solving mindset.
Preferred Qualifications
- Experience in building engineering efficiency tools or platforms from scratch (0 to 1 implementation).
- Hands-on experience applying LLMs (Large Language Models) for code generation, code review, or knowledge management.
- Experience working in top-tier tech companies (e.g., Baidu, Alibaba, Tencent, ByteDance) with exposure to large-scale engineering efficiency systems.
Pipelines
Knowledge Management
Software Engineering
SDLC
SQL
Distributed Systems
Scratch
Networking
Python
Operating Systems
Process Optimization
Java
Software Development
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