
11 - 50 employees
đŻ Recruiter
đ„ HR Tech
âïž SaaS
đ° Seed Round on 2022-06
Recruitment âą HR Tech âą SaaS
Bryq is a talent management and acquisition platform that optimizes hiring decisions by evaluating both hard and soft skills using objective data. It aims to streamline the hiring process by integrating with ATS and HRIS systems, offering detailed insights into skill requirements and cultural alignment for various roles. By leveraging data-driven models and insights from I-O psychologists, Bryq helps businesses make strategic, long-term hiring decisions and maximize workforce potential. The platform includes a comprehensive assessment tool for both pre-hire and ongoing talent management, aiming to improve employee retention and performance by aligning core cultural pillars and essential traits with business KPIs.
đ„ 1 hour ago
đ Italy, France, +2 more countries â Remote
â° Full Time
đ Senior
đ§âđ» Full-stack Engineer
đ» Ghost score 15%
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
GraphQL
Java
JavaScript
Kafka
Node.js
Open Source
Python
RabbitMQ
Go
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
đŻ Recruiter
đ„ HR Tech
âïž SaaS
đ° Seed Round on 2022-06
Recruitment âą HR Tech âą SaaS
Bryq is a talent management and acquisition platform that optimizes hiring decisions by evaluating both hard and soft skills using objective data. It aims to streamline the hiring process by integrating with ATS and HRIS systems, offering detailed insights into skill requirements and cultural alignment for various roles. By leveraging data-driven models and insights from I-O psychologists, Bryq helps businesses make strategic, long-term hiring decisions and maximize workforce potential. The platform includes a comprehensive assessment tool for both pre-hire and ongoing talent management, aiming to improve employee retention and performance by aligning core cultural pillars and essential traits with business KPIs.
âą Design, build, and maintain scalable and reliable backend systems and APIs âą Take ownership of significant technical areas including architecture decisions, code quality, and system performance âą Contribute to the full software development lifecycle: requirements, design, implementation, testing, deployment, and monitoring âą Review code from peers and provide constructive, technically rigorous feedback âą Mentor and support mid-level and junior engineers, helping them grow technically and professionally âą Collaborate with product, data science, and I-O psychology teams to translate complex requirements into robust technical solutions âą Proactively identify and address technical debt, performance bottlenecks, and reliability risks âą Participate in on-call rotations and contribute to incident response and post-mortem processes âą Contribute to engineering best practices, tooling, and developer experience improvements
âą 5+ years of professional software engineering experience, with at least 2 years in a senior or lead capacity âą Strong proficiency in one or more backend languages (e.g., Python, Node.js, Go, Java) âą Solid understanding of distributed systems, API design (REST or GraphQL), and cloud infrastructure (AWS, GCP, or Azure) âą Experience with relational and non-relational databases and the trade-offs between them âą Proven ability to take ownership of a technical domain end-to-end â from design through to production âą Strong communication skills and ability to work effectively across engineering and non-engineering stakeholders âą Undergraduate degree in Computer Science, Software Engineering, or equivalent practical experience âą Experience in a B2B SaaS or HR technology environment âą Familiarity with psychometric data, assessment platforms, or data-intensive applications âą Experience with event-driven architecture or message queuing systems (Kafka, RabbitMQ, or similar) âą Contributions to open source projects or a strong public technical portfolio âą Experience working in a remote-first engineering team âą Postgraduate degree or research background in a quantitative discipline
âą Competitive salary benchmarked at senior market rates âą Equity / stock option scheme âą Fully remote with optional access to co-working hubs âą 30 days annual leave plus public holidays âą Annual learning and development budget (conferences, courses, certifications) âą Top-spec hardware of your choice âą A small, high-trust engineering team where your influence on technical direction is real
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