
1 - 10 employees
👥 HR Tech
🎯 Recruiter
☁️ SaaS
HR Tech • Recruitment • SaaS
WhyHireWrong? is a hiring and recruitment platform that appears to provide a web-based portal for employers and applicants to manage projects, applications, and user logins. The site references project listings, an application/login flow for existing users, and is powered by a technology layer (SIGL:IO), indicating a software-first delivery model. Contact details are provided, suggesting a service-oriented offering to connect candidates with roles or help organizations streamline hiring.
🔥 1 minute ago
Improve your chances of getting an interview by checking your resume score before you apply.

1 - 10 employees
👥 HR Tech
🎯 Recruiter
☁️ SaaS
HR Tech • Recruitment • SaaS
WhyHireWrong? is a hiring and recruitment platform that appears to provide a web-based portal for employers and applicants to manage projects, applications, and user logins. The site references project listings, an application/login flow for existing users, and is powered by a technology layer (SIGL:IO), indicating a software-first delivery model. Contact details are provided, suggesting a service-oriented offering to connect candidates with roles or help organizations streamline hiring.
• Write production code and infrastructure-as-code, not review it • Debug slow queries, analyze traces, resolve production incidents personally • Make architectural decisions on the shared platform with full accountability • Evaluate and adopt AI tooling into your daily engineering workflow • Operate in high ambiguity with limited process and high expectations for output
• Based in Brazil • Senior hands-on platform or infrastructure engineer, not a manager who used to code • Deep Kubernetes in production, multi-cloud: AWS and GCP both required • Direct experience in regulated environments: HIPAA, SOC2, GDPR, or LGPD • Backend engineering depth: you can debug a slow query, read a flame graph, trace a distributed system • A track record of building 0-to-1 platform capabilities, not just maintaining what exists • You use AI tools daily and can articulate exactly how they changed the way you work • You can tell a specific, honest story about a production issue you personally caused and fixed
Apply Now🕒 April 20
1001 - 5000
Data Engineer developing scalable data pipelines for Arco Educação. Collaborating on data ingestion, transformation, and ensuring data quality and observability.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
BigQuery
Google Cloud Platform
Python
SQL
🕒 February 6
Staff Platform Engineer focused on Observability ecosystem at Wellhub. Engage in building a scalable observability platform for engineering teams in Brazil.
AWS
Azure
Cloud
Google Cloud Platform
Grafana
Kubernetes
Open Source
Prometheus