Information technology, software development, data Jobs for Mid-level in Africa

97 jobs found

Ezra

Principal Architect

Nairobi Kenya
Closed for applications
Baker Hughes

Applications Engineer

Nairobi Kenya
Closed for applications
Sahara Group Limited

Data Engineer

Lagos Nigeria
Closed for applications
ICIPE

Data and Software Engineering Scientist

Nairobi Kenya
Closed for applications
AIICO Insurance Plc

Data Analyst

Lagos Nigeria
Closed for applications
Burn

NAV ERP Manager - Planning, MPS

Ruiru Kenya
Closed for applications
Family Bank Kenya

Lead - Data Governance and Data Management

Nairobi Kenya
Closed for applications
UNEP

Technical Specialist - Nature-Based Solutions (NbS)

Nairobi Kenya
Closed for applications
Unifi

IT Officer

Kampala Uganda
Closed for applications

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Mastercard

Lead DevOps Engineer, Foundry RnD

Nairobi Kenya
Closed for applications

Country / Region

Profession (Mid-level)

Seniority (Information technology, software development, data)

© Fuzu Ltd

Ezra

Finance & FinTech

Principal Architect

Closed for applications
Job details

Contract Type

Description

Qualifications and Experience:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 10+ years of professional experience in software development, cloud, DevOps, and architectural design, with a minimum of 3 years focused on architecting large-scale, distributed systems.
  • Strong demonstrated expertise in multiple programming languages.
  • Proven expertise in architectural design and operation of event-driven service-based architectures at large scale.
  • Demonstrated ability to define and govern engineering best practices, including TDD and clean code principles.
  • Experience with multiple data store management approaches (e.g., relational vs. NoSQL databases), data modelling, and associated technologies.
  • Expert-level knowledge of CI/CD, DevOps practices, containerisation, and public cloud platforms (AWS, Azure, or GCP).
  • Exceptional communication and influencing skills, with a track record of driving complex technical decisions across multiple teams.

Preferred Qualifications:

  • Strong technical background and deep proficiency in Java and Spring Boot.
  • Hands-on experience or architectural oversight in Clojure or other functional programming languages.
  • Proven experience with data architecture, data warehousing concepts, and ETL/ELT pipelines.
  • Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).
  • Experience working in a regulated FinTech or financial services environment.


Responsibilities
  1. Architectural Leadership and Mentorship
    • Partner with the CTO, the Director of Technology Delivery, and Engineering Managers to define, communicate, and execute the technology strategy and architectural roadmap for the lending and data platforms.
    • Lead the architectural design and review process for major platform initiatives.
    • Help mentor and coach engineers, fostering a culture of technical excellence and architectural discipline.
    • Define technology standards, development methodologies, and security best practices for the engineering organization.
  2. Technical Excellence and Quality Assurance
    • Help instill a culture of technical rigour, passionately advocating for approaches such as Test-Driven Development and secure coding practices.
    • Lead complex code and design reviews, setting an uncompromisingly high bar for code quality, maintainability, and security across the platform.
    • Identify, pilot, and promote emerging technologies and engineering practices, including cutting edge AI practices.
  3. Technology Roadmapping for Software, Platform & Data
    • Drive the architectural evolution towards service-based design, event-driven systems, and a modern, highly scalable data architecture.
    • Shape the strategic direction for hosting infrastructure, containerisation, and CI/CD pipelines in collaboration with Platform Engineering.
    • Review major technical designs and ensure alignment with the long-term system architecture and business objectives.
  4. System Resilience and Data Governance
    • Design and promote architectural patterns for high availability, fault tolerance, and security across the entire technology stack.
    • Drive data modeling, data architecture, and the evolution of data store platforms to ensure data integrity, quality, and performance at scale.
    • Proactively identify and resolve systemic architectural risk and technical debt.
  5. Delivery Enablement and Performance Optimization
    • Consult on the execution of the technical roadmap, providing architectural clarity and hands-on advice to unblock teams and accelerate delivery.
    • Contribute directly to production code in critical architectural areas and highly complex situations (e.g., core domain logic, common libraries, performance-sensitivity), staying close to the technical implementation.


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