
10,000+ employees
Founded 1987
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
Founded 1987
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.
• Lead end-to-end instrumentation of metrics (infrastructure and application), structured logs, and distributed tracing, ensuring full visibility across the ecosystem. • Implement, evolve, and manage Application Performance Monitoring (APM) tools to identify bottlenecks and optimize the user experience. • Define, implement, and monitor SLIs, SLOs, and Error Budgets to support the balance between innovation and stability. • Plan and execute Chaos Engineering experiments to validate failure hypotheses and strengthen the architecture. • Define predictive alerting policies to reduce alert fatigue and accelerate incident response. • Work cross-functionally to support Data Engineering pipelines and microservices architectures (REST APIs) on AWS.
• Advanced expertise in Datadog for dashboards, monitors, APM, and Log Management. • Strong experience with AWS, Docker, and Kubernetes (EKS). • Proven experience in infrastructure and monitoring automation. • Practical knowledge of SRE principles, including incident management, SLIs, SLOs, and Error Budgets. • Understanding of distributed systems architecture, high availability (HA), fault tolerance, and resilience. • Infrastructure as Code experience with Terraform, Pulumi, or CloudFormation. • Observability experience in Data Engineering, including Big Data pipelines (Apache Airflow, Spark, or similar). • Knowledge of SecOps/DevSecOps and observability-driven security. • Relevant certifications (e.g., AWS Certified DevOps Engineer, CKA, CKAD) are a plus.
• Multi-benefit card — choose how and where to use it. • Scholarships for undergraduate, graduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career plan. • Possibility of an international career. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Medical insurance. • Dental insurance. • Life insurance.
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