Background

FinSense Africa was founded in 2017 to solve a growing challenge in the financial sector; integrating legacy systems with modern technologies. We began by connecting critical systems through secure APIs and middleware solutions, helping institutions improve efficiency and reduce complexity. As client needs evolved, so did we, expanding into bespoke sol...

Key Responsibilities

• Assess the current state of engineering performance, DevOps maturity, platform reliability, and AI readiness, and establish improvement priorities.
• Lead the design and execution of initiatives that improve software delivery performance, quality, reliability, and developer productivity.
• Provide technical leadership and design authority across engineering, platform, DevOps, and AI enablement initiatives.
• Establish and strengthen CI/CD, testing, observability, release management, and reliability practices aligned with industry best practices.
• Define and implement governed AI enablement frameworks, including security, access controls, auditability, knowledge retrieval, and responsible AI practices.
• Collaborate with engineering, infrastructure, security, risk, compliance, operations, business stakeholders, and external partners to drive aligned execution.
• Develop and monitor engineering performance metrics and continuous improvement initiatives to ensure measurable business outcomes.
• Mentor internal teams and embed sustainable engineering standards, governance, and knowledge transfer to build long-term capability.

Requirements

Experience

• Minimum 7 years' experience in software engineering or platform engineering.
• Minimum 5 years in senior technical leadership or principal engineering roles.
• Demonstrated experience leading enterprise DevOps transformations.
• Experience improving engineering performance using DORA metrics or equivalent frameworks.
• Proven experience designing and implementing CI/CD pipelines.
• Experience leading cloud platform modernization initiatives.
• Experience implementing observability and reliability engineering practices.
• Practical experience delivering enterprise AI solutions with governance and security controls.
• Experience working within regulated or enterprise environments is highly desirable.

• Assess the current state of engineering performance, DevOps maturity, platform reliability, and AI readiness, and establish improvement priorities.
• Lead the design and execution of initiatives that improve software delivery performance, quality, reliability, and developer productivity.
• Provide technical leadership and design authority across engineering, platform, DevOps, and AI enablement initiatives.
• Establish and strengthen CI/CD, testing, observability, release management, and reliability practices aligned with industry best practices.
• Define and implement governed AI enablement frameworks, including security, access controls, auditability, knowledge retrieval, and responsible AI practices.
• Collaborate with engineering, infrastructure, security, risk, compliance, operations, business stakeholders, and external partners to drive aligned execution.
• Develop and monitor engineering performance metrics and continuous improvement initiatives to ensure measurable business outcomes.
• Mentor internal teams and embed sustainable engineering standards, governance, and knowledge transfer to build long-term capability.

• DevOps
• CI/CD
• Observability
• Reliability Engineering
• AI Enablement
• Cloud Platform Modernization
• Technical Leadership
• Software Engineering
• Platform Engineering

• Minimum 7 years' experience in software engineering or platform engineering.
• Minimum 5 years in senior technical leadership or principal engineering roles.
• Demonstrated experience leading enterprise DevOps transformations.
• Experience improving engineering performance using DORA metrics or equivalent frameworks.
• Proven experience designing and implementing CI/CD pipelines.
• Experience leading cloud platform modernization initiatives.
• Experience implementing observability and reliability engineering practices.
• Practical experience delivering enterprise AI solutions with governance and security controls.
• Experience working within regulated or enterprise environments is highly desirable.