We are looking for a Senior Software Engineer to join our engineering team and help build the platform that powers Bryq's talent intelligence products. You will work on complex, high-impact problems, from improving the reliability and performance of our assessment delivery infrastructure to building the data pipelines and APIs that connect our psychometric engine to the products our clients use every day. This is a role for an experienced engineer who is comfortable taking ownership of significant technical areas, mentoring less experienced colleagues, and contributing to architectural decisions. You will work in a collaborative environment where engineering quality is taken seriously and your opinion matters.
Key Responsibilities
Design, build, and maintain scalable and reliable backend systems and APIs
Take ownership of significant technical areas including architecture decisions, code quality, and system performance
Contribute to the full software development lifecycle: requirements, design, implementation, testing, deployment, and monitoring
Review code from peers and provide constructive, technically rigorous feedback
Mentor and support mid-level and junior engineers, helping them grow technically and professionally
Collaborate with product, data science, and I-O psychology teams to translate complex requirements into robust technical solutions
Proactively identify and address technical debt, performance bottlenecks, and reliability risks
Participate in on-call rotations and contribute to incident response and post-mortem processes
Contribute to engineering best practices, tooling, and developer experience improvements
Required Qualifications
5+ years of professional software engineering experience, with at least 2 years in a senior or lead capacity
Strong proficiency in one or more backend languages (e.g., Python, Node.js, Go, Java)
Solid understanding of distributed systems, API design (REST or GraphQL), and cloud infrastructure (AWS, GCP, or Azure)
Experienc
📌 Senior Software Engineer (Madrid)
🏢 Bryq
📍 Madrid