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Engineering Manager

4 weeks ago


Belfast, United Kingdom viso.ai Full time

We are looking for an Engineering Manager to provide handson technical leadership while managing a diverse team of engineers. You will lead the development and scaling of our platform systems and processes to meet the growing demand for computer vision applications.

This role is ideal for a lead engineer or technical lead who has managed teams overseen technical delivery and is ready to take the next step in their career. You will bring a strong technical background in software engineering infrastructure or DevOps with the ability to lead by example and guide a highperformance team.


You will have exposure to some or all of the following areas:

Web application development
Cloud Platforms (AWS Azure Google Cloud)
CI/CD Pipelines
Machine Learning / Deep Learning
Computer Vision
Linux / Embedded OS (Yocto)


Location

This role will be remote based in Belfast (UK).
Applicants must be legally authorized to work in the United Kingdom.


Responsibilities

In this role you ll:

  • Report directly to the CTO providing both technical leadership and management for the engineering team.
  • Foster an environment of continuous growth by providing feedback coaching and mentorship to help each team member reach their potential.
  • Play a critical role in design and implementation decisions tackling complex challenges that drive platform scalability.
  • Oversee backend development (Node.js) with GraphQL APIs and frontend development (React) integrated with AWS cloud infrastructure and CI/CD pipelines.
  • Ensure highquality software development adhering to architecture principles coding standards QA and project specifications.
  • Manage sprint planning to ensure timely delivery of projects and milestones.
  • Identify and address technical debt and inefficiencies proposing and implementing improvements.
  • Lead the adoption of automated testing continuous integration and deployment processes to enhance development efficiency and quality.
  • Drive team expansion through recruitment career development and building professional development pathways.
  • Shape onboarding and mentorship programs to set engineers up for success enabling s development and career growth opportunities.


Required Qualifications

  • Proven experience leading and managing development teams in SaaS or AI preferably in successful earlystage startup environments.
  • Indepth knowledge of the software development lifecycle including design development deployment and scaling.
  • Knowledge of machine learning deep learning or computer vision technologies and how they integrate into realworld applications.
  • Strong background in designing and implementing Node.js applications and GraphQL APIs.
  • Experience with frontend frameworks such as React.
  • Solid understanding of Linux and embedded systems (e.g. Yocto).
  • Familiarity with cloud platforms (AWS Azure GCP) and the ability to architect scalable cloud applications.
  • Expertise in CI/CD pipelines and automated testing frameworks.
  • A pion for team development career progression and fostering an inclusive and positive engineering culture.
  • Strong academic background ideally in Computer Science Engineering or related field.


What We Offer

Our product Viso Suite is the only endtoend infrastructure for computer vision. It empowers enterprises to implement AI vision solutions significantly faster and more effectively than ever before.

viso.ai is backed by the most successful investors who previously backed Facebook Slack Atlian DropBox UiPath Celonis Segment and many more. There are many benefits to working at viso.ai including in addition to competitive pay being part of a small and agile fastgrowing company.

  • Opportunity to work in a fastpaced innovative environment.
  • Competitive compensation package.
  • Private Medical Insurance (including optical and dental)
  • Flexible working hours and remote work options.
  • Professional development and career growth opportunities.

Join us in driving growth and shaping one of the most exciting AI industries.

We look forward to hearing from you







We are seeking an Engineering Manager to provide hands-on leadership and manage a diverse engineering team. Ideal for a lead engineer or technical lead ready to step into a management role, you ll bring expertise in software engineering, infrastructure, or DevOps, and the ability to lead by example. Areas of expertise: Web application development Cloud platforms (AWS, Azure, GCP) CI/CD pipelines Machine learning/deep learning Computer vision Linux/Embedded OS (Yocto)

Education

We are seeking an Engineering Manager to provide hands-on leadership and manage a diverse engineering team. Ideal for a lead engineer or technical lead ready to step into a management role, you ll bring expertise in software engineering, infrastructure, or DevOps, and the ability to lead by example. Areas of expertise: Web application development Cloud platforms (AWS, Azure, GCP) CI/CD pipelines Machine learning/deep learning Computer vision Linux/Embedded OS (Yocto)