Role Title- Head of Engineering - Digital Experience Reports to- Chief Technology Officer (CTO) Team Size- 4 squads · Around 20–30 engineers + QA chapter (at maturity) Location- Nairobi, Kenya (HQ) Preferred - full-time on-site or
Job Description- Senior QA Automation Engineer Reports to -Head of System Quality Assurance Level- Senior Department- IT Development Location- Nairobi Job Summary The Senior QA Automation Engineer will be responsible for ensuring the quality and reliability
Lead Analyst- Data Operations Department: Global Analytics and Technology Employment Type: Permanent - Full Time Location: Kenya Reporting To: Head of Data Operations Description Location: Nairobi, Kenya About the role: The role holder will act as
What we’re looking for; In keeping with our current business needs, we are looking for a person who meets the criteria indicated below Reporting to the Chief Enterprise & Public Sector Officer, the role purpose is
The International Rescue Committee (IRC) responds to the worlds worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of
Role Overview: Data Extraction Engineer designs extraction systems (and not just scripts). They build and maintain a next-generation data acquisition platform that treats web scraping as a declarative, specification-driven discipline. Instead of hard-coding XPaths for every site,
Our client, a distinguished longevity and preventive medicine practice with an ambitious growth agenda and an uncompromising standard of operational delivery, is seeking a Clinic Manager of exceptional operational standing — a seasoned, digitally astute professional
Our client is a technology company solving payments problems for businesses. Their mission is to help businesses in Africa become profitable, envied, and loved. They provide a suite of products to help businesses accept payments online
Key Responsibilities Specification-Driven Extraction Engineering: 1. Design and maintain declarative extraction specifications—using Pydantic models, JSON schemas, or domain-specific languages—that describe exactly which fields to capture, their types, and validation rules. 2. Implement pipelines that translate these specifications