Job Description

Software Engineer

We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.

A Cybersecurity/SecOps background or exposure is highly preferred.

No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.

Key responsibilities include:

1. Working on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
2. Reviewing, debugging, improving, and explaining code across different technical environments.
3. Designing or evaluating practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
4. Identifying tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
5. Communicating technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
6. Collaborating with the customer's team on technical reviews, implementation decisions, and problem-solving exercises.
7. Adapting quickly to new codebases, frameworks, and technical requirements.

Required skills and qualifications include:

1. 3+ years of hands-on software engineering experience.
2. Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C++, Go or Ruby.
3. Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
4. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
5. Ability to explain complex engineering decisions clearly and objectively.
6. Comfortable reading and reasoning through unfamiliar code or technical requirements.

Preferred qualifications include:

1. Experience with cloud environments such as AWS, GCP, or Azure.
2. Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
3. Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
4. Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
5. Experience mentoring engineers, reviewing code, or making architecture decisions.

Job Tags

Similar Jobs