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  • Posted: Mar 13, 2025
    Deadline: Not specified
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  • Nintex is the global standard for process management and automation. Today more than 10,000 public and private sector organizations across 90 countries turn to the Nintex Platform to accelerate progress on their digital transformation journeys by quickly and easily managing, automating and optimizing business processes. Learn more by visiting www.nintex.com ...
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    Engineering Manager

    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 

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Nintex on www.nintex.com to apply

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