Remote Software Architect & Code Review Lead

Crossing Hurdles; United Kingdom; On-site; GBP 90,000 - 120,000; Full time

Job summary

Crossing Hurdles is seeking a senior software quality engineer to lead code reviews, shape system architecture, and author clear technical documentation. The role emphasizes collaboration across distributed teams and remote work, ensuring scalable, standards-compliant deliverables for diverse client projects.

The ideal candidate will distill complex concepts into concise communications, drive best practices, and contribute practical examples to AI training resources.

Qualifications

• Proven experience designing and reviewing complex software architectures and codebases.
• Strong track record producing and maintaining high-quality, user-friendly technical documentation.
• Extensive experience with code review processes and providing constructive feedback.

Responsibilities

• Conduct detailed code reviews, providing actionable feedback to ensure functionality, performance, and adherence to standards.
• Develop and maintain comprehensive technical documentation to support architectural decisions and ongoing maintenance.
• Collaborate in shaping software architecture and recommending industry best practices for long-term stability and scalability.
• Participate in the analysis of requirements to deliver efficient, high-quality deliverables meeting client and project needs.
• Contribute real-world programming examples, explanations, and problem-solving approaches as foundational input for AI training datasets.

Skills

Code review expertise

Software architecture design

Technical documentation

Clear written communication

Remote collaboration

Distributed teams

Job description

Crossing Hurdles is seeking a senior software quality engineer to lead code reviews, shape system architecture, and author clear technical documentation. The role emphasizes collaboration across distributed teams and remote work, ensuring scalable, standards-compliant deliverables for diverse client projects.

The ideal candidate will distill complex concepts into concise communications, drive best practices, and contribute practical examples to AI training resources.