Software Engineer (Mid-Level) - AI Focussed

Titan Wealth; Cape Town; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid working

Private medical insurance

Pension/retirement plan

Training and development

Job summary

Titan Wealth is seeking a Software Engineer to join a high-performing engineering team in a cloud-first environment. You will design, develop and deliver secure, scalable, full-stack applications while embracing AI-enabled practices and DevSecOps in the development lifecycle.

The role emphasizes secure coding, automated testing, and modern CI/CD pipelines in Azure, with collaboration across Cloud, Security and Infrastructure teams.

Qualifications

• 3+ years commercial full-stack development experience.
• Experience delivering enterprise-scale solutions.
• Experience developing secure and scalable applications.
• Experience working within agile software delivery environments.

Responsibilities

• Design, develop and maintain cloud-ready full-stack applications aligned with business and security requirements.
• Develop secure, maintainable and scalable software using modern engineering principles.
• Apply secure coding standards and industry best practices.
• Contribute to architecture and technical design discussions.
• Ensure software meets quality, security and performance standards.
• Develop and maintain unit, integration and API tests.
• Contribute to CI/CD pipeline development and optimisation using Azure DevOps.
• Support shift-left testing and security practices.
• Embed automated testing and security checks throughout the development lifecycle.
• Assist in improving development standards and engineering processes.
• Build and support scalable solutions hosted within Microsoft Azure.
• Contribute to deployment, configuration and management across multiple environments.
• Work closely with Cloud, Security and Infrastructure teams.
• Support cloud-native application development and deployment strategies.
• Design and develop RESTful APIs
• Support microservices-based architectures where appropriate
• Build secure and scalable integrations across internal and external systems
• Ensure APIs are documented, tested and maintainable
• Produce and maintain technical documentation
• Document architecture decisions, integrations and deployment processes
• Communicate technical concepts clearly to stakeholders
• Participate in peer reviews and knowledge-sharing initiatives
• Participate in sprint planning, stand-ups, retrospectives and agile ceremonies
• Collaborate with Product, QA, Architecture and Engineering teams
• Contribute to project estimation, planning and technical decision-making
• Help drive continuous improvement across engineering practices
• Use AI tools to support day-to-day software engineering activities
• Identify suitable development activities that can be delegated to AI agents
• Verify and review AI-generated outputs thoroughly before implementation
• Build appropriate testing and validation mechanisms for AI-assisted work
• Understand when AI should be used and when human judgement is required
• Maintain accountability for all code and technical decisions
• AI capability is viewed as an enhancement to strong engineering fundamentals, not a replacement for them
• Design and develop secure-by-design systems
• Security: OWASP Top 10 awareness and embedding security into lifecycle
• Cloud & Infra: Azure, Docker, IaC
• AI capability requirements: AI-assisted workflows
• We are interested in engineers who progress from AI-Augmented to AI-Delegating
• Engineering fundamentals remain non-negotiable
• Education: Bachelor's in CS/SE or equivalent
• Experience: 3+ years full-stack development
• Desirable: Azure AZ-900, AZ-204

Skills

C#/.NET

Full-stack development

Software engineering fundamentals

Modern architectures

Enterprise-scale solutions

HTML/CSS/JS/React

Azure DevOps

CI/CD pipelines

Education

Bachelor's Degree in CS/SE or equivalent

Tools

Azure DevOps

Docker

Kubernetes

Git

Job description

• Experience delivering enterprise-scale solutions
• Microservices architecture

Titan Wealth is a fast-growing wealth management business, both in the UK and internationally. It has evolved a fairer, more efficient and effective business model, structured to deliver leading advice-led wealth management services, giving financial advisers and their clients the best opportunity to fulfil their dreams and ambitions.

We provide a dynamic work environment full of opportunity, one where both individual and team initiative and contribution is encouraged, so that together we can deliver better outcomes for our clients over the long term.

We are seeking a Software Engineer to join our high-performing engineering team. This is an exciting opportunity for a strong full-stack engineer who is passionate about building secure, scalable software whilst embracing modern AI-enabled engineering practices.

You will be responsible for designing, developing, and delivering end-to-end applications within a cloud-first architecture, applying automation, testing, and secure coding principles throughout the software development lifecycle.

This role plays a key part in our transition towards a DevSecOps culture, embedding quality, security, compliance, and automation earlier in the development lifecycle.

Alongside strong software engineering fundamentals, the successful candidate will demonstrate the ability to leverage AI tools effectively, using them to improve productivity, automate development activities, and support intelligent decision-making without compromising quality, security, or accountability.

Responsibilities

Software Development & Secure Coding

• Design, develop and maintain cloud-ready full-stack applications aligned with business and security requirements
• Develop secure, maintainable and scalable software using modern engineering principles
• Apply secure coding standards and industry best practices
• Contribute to architecture and technical design discussions
• Ensure software meets quality, security and performance standards

Testing, Automation & DevSecOps

• Develop and maintain unit, integration and API tests
• Contribute to CI/CD pipeline development and optimisation using Azure DevOps
• Support shift-left testing and security practices
• Embed automated testing and security checks throughout the development lifecycle
• Assist in improving development standards and engineering processes

Cloud Engineering

• Build and support scalable solutions hosted within Microsoft Azure
• Contribute to deployment, configuration and management across multiple environments
• Work closely with Cloud, Security and Infrastructure teams
• Support cloud-native application development and deployment strategies

API & Integration Development

• Design and develop RESTful APIs
• Support microservices-based architectures where appropriate
• Build secure and scalable integrations across internal and external systems
• Ensure APIs are documented, tested and maintainable

Documentation & Technical Communication

• Produce and maintain technical documentation
• Document architecture decisions, integrations and deployment processes
• Communicate technical concepts clearly to both technical and non-technical stakeholders
• Participate in peer reviews and knowledge-sharing initiatives

Agile Delivery

• Participate in sprint planning, stand-ups, retrospectives and agile ceremonies
• Collaborate with Product, QA, Architecture and Engineering teams
• Contribute to project estimation, planning and technical decision-making
• Help drive continuous improvement across engineering practices

AI-Enabled Engineering

This role forms part of our evolution towards AI-enabled software delivery. The successful candidate will be expected to:

• Use AI tools to support day-to-day software engineering activities
• Identify suitable development activities that can be delegated to AI agents
• Verify and review AI-generated outputs thoroughly before implementation
• Build appropriate testing and validation mechanisms for AI-assisted work
• Understand when AI should be used and when human judgement is required
• Maintain accountability for all code and technical decisions

AI capability is viewed as an enhancement to strong engineering fundamentals, not a replacement for them.

Critical Skills And Experience Required

Core Engineering

• Commercial experience with C#, .NET Core and/or .NET Framework
• Experience building full-stack applications
• Strong software engineering fundamentals
• Understanding of modern application architecture patterns
• Experience delivering enterprise-scale solutions

Front-End Development

• HTML
• CSS
• JavaScript
• TypeScript
• React

Database Technologies

• SQL Server
• Azure SQL Managed Instance
• Strong SQL and T-SQL skills

APIs & Integration

• RESTful API development
• Microservices architecture
• System integrations

DevOps & DevSecOps

• Azure DevOps
• CI/CD pipelines
• Git version control
• Automated testing frameworks
• Secure software development practices

Testing

Experience with tools such as:

• xUnit
• Postman
• API testing frameworks

Security

• Understanding of secure-by-design principles
• Awareness of OWASP Top 10
• Experience embedding security into the development lifecycle

Cloud & Infrastructure

• Microsoft Azure
• Docker
• Infrastructure as Code

Cloud-native application development

AI Capability Requirements

• AI-assisted development workflows
• Task delegation to AI agents
• Verification and validation of AI outputs
• Building AI-enabled development processes
• Judgement regarding what should and should not be delegated to AI

We are particularly interested in engineers who can demonstrate progression from:

• AI-Augmented → AI-Delegating

Engineering fundamentals remain a non-negotiable requirement.

Qualifications (Essential & Desirable)

Education

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology or equivalent practical experience

Experience

• 3+ years' commercial full-stack development experience
• Experience developing secure and scalable applications
• Experience working within agile software delivery environments

Preferred Certifications

• Azure Fundamentals (AZ-900)
• Azure Developer Associate (AZ-204)

Desirable Experience

• Financial Services experience
• Wealth Management experience
• Regulated industry experience
• DevSecOps environments
• GDPR and ISO27001 awareness
• Containerised environments
• Serverless architectures
• Infrastructure as Code
• Security tooling including SAST and DAST
• Knowledge of Consumer Duty or CASS regulations

What Success Looks Like

• Strong software engineering fundamentals
• Enterprise-grade development experience
• Azure and Microsoft technology expertise
• Practical AI capability
• Excellent technical judgement
• The ability to turn technology into measurable business value

This is an opportunity to work at the intersection of software engineering, cloud technology, AI and business transformation, helping shape how modern engineering practices are applied within a growing organisation

Titan Key behaviours

• Commercial Awareness
• Innovation
• Collaboration
• Team contribution
• Professionalism

Our employees are talented people, distinguished by excellence. You will be able to demonstrate a willingness to embrace the Company values of:

Creativity – we recognise we need new ways of thinking, learning and doing to both improve our own productivity and efficiency as well as to help us stay ahead of competitors.

Commitment – we are team with the willingness to put time, effort and energy into driving change in the organisation, going the extra mile.

Collaboration – we need teamwork amongst ourselves and with partners to generate more innovative, efficient and effective solutions and thereby a greater sense of achievement.

Terms

• Competitive salary
• Attractive Employee Pension Scheme (7.5% employer & minimum 3% employee)
• 25 days Annual Leave + public holidays
• Buy and sell holidays up to 5 days
• Office Christmas close (3-days)
• A range of benefits which includes private medical insurance, Group life insurance, and income protection insurance
• Hybrid working
• Further education and training support
• Discretionary performance related bonus
• Confidential Employee Assistance Programme
• 2 days per year for voluntary work
• And lots of flexible benefits to choose from!

The Titan Wealth Group is firmly committed to fostering an inclusive and equitable environment for everyone who works with us, regardless of their race, age, gender, sexual orientation, religion, physical ability or disability, or political affiliation. We believe that having a diverse team allows us to create the best possible outcomes for our clients and team members. We strive to provide equal opportunities in all aspects of the workplace with respect to recruitment and career advancement, pay and benefits, training and development opportunities and other job-related activities.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.