About the role:

• The Engineering Manager is responsible for the development and on-time delivery of all technical aspects of a Product (or part thereof), in accordance with the Product plan, which should meet or exceed Nintex’s quality standards.      
• Engineering Managers work in partnership with Product Managers and are responsible for maintaining the product backlog, iteration planning, communicating stakeholder requests and managing the ongoing development of team members. 
• You will be leading a team that focuses on providing an architecture to support the efficient delivery and integration of AI-enabled features targeting team efficiency in creating and maintaining assets while facilitating cross-platform use cases and consistency. This is a great opportunity to lead a team running AI features into production and make a real impact for Nintex as well as our customers. The role is hybrid in Johannesburg.

Your contribution will be:  

Engineering 

• Ensure your team writes correct code (e.g. NodeJS, semantic HTML, pipeline YAML, etc.), following Nintex standards, guidance, and training materials.
• Know the core concepts in the Service Reliability strategy and manage your team’s services to SLOs and SLIs.
• Work closely with Product Management and User Experience Designers to define required product features and behavior in detail, sufficient to create the required design, resourcing, and development plans.
• Monitor new code and designs to identify where test coverage needs adjustment. Make sure that the test requirements are met and integrated into pipelines appropriately.
• Gather and assess all the relevant input to make quality, durable decisions  
• Champion quality, making sure it is a priority in your team and across projects.
• Follow security best practices, oversee the creation of secure code, and lead teams in threat modeling.  

Delivery 

• Understand and run your team according to agile principles and use data (velocity, burn down, etc.) to track status and improve team performance.
• Maintain unobstructed vision of the risk factors in your workload including the amount of change introduced, cross-discipline developments, cross-product integrations, or the introduction of new development tools and methodologies.
• Proactively raise any risks or foreseeable changes to previously communicated schedules.
• Identify opportunities and contribute to initiatives that reduce and standardize tooling to streamline our processes, “ways of working” and reduce overhead.
• Collaborate with Product Management to prioritize user stories in line with the product roadmap and to plan product release timelines.  
• Oversee the development of all product features in your domain in a manner that meets delivery commitments.
• You play your assigned role in the Incident Management process, including contributing where your technical and problem-solving skills apply, and also creating space for your staff to engage as the incident’s impact level requires. 

Team Management 

• Coach, support, and enable team members in achieving personal growth and career objectives.
• Lead by example by promoting and embodying Nintex’s values.
• Conduct effective team workforce planning and forecasting.
• Create training plans collaboratively with your team members to produce the skill sets required in the relevant domains.
• Lead hiring cycles and contribute to designing the organizational hiring process. 

To be successful, we think you need: 

• 2+ years managing an engineering team 
• High-level knowledge of Generative AI (basics)
• Experience leading a team that is working on GenAI features would be highly beneficial
• Background in software engineering/data engineering
• Azure and ADO advantageous