Software Engineer at Fastnet
Ireland, Manitoba, Ireland -
Full Time


Start Date

Immediate

Expiry Date

17 Dec, 26

Salary

60000.0

Posted On

18 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

What you’ll be doingYou will be responsible for designing, developing and maintaining software across frontend, backend and cloud infrastructure environments. This will include building scalable web applications, APIs, microservices and integrations to support AI-driven healthcare products. You will also work on cloud infrastructure, containerised applications, CI/CD pipelines and deployment workflows, helping to ensure the platform is reliable, secure and scalable as the company grows. Given the healthcare focus, security, data privacy and compliance will be key. You will contribute to secure software development practices, support the handling of sensitive clinical data, and work closely with quality and regulatory stakeholders where required. A key part of the role will involve supporting the integration of machine learning models into production systems and contributing to the development of AI-enabled product features.

  • What we’re looking forThe ideal candidate will bring5+ years’ experience in software engineering or full-stack development
  • Strong experience building and maintaining production web applications
  • Backend development experience and strong API design capability
  • Frontend development experience using modern web technologies
  • Experience deploying and managing cloud infrastructure
  • Experience with Docker and Kubernetes
  • CI/CD and modern DevOps experience
  • Strong understanding of cybersecurity and secure software development
  • Experience with data privacy, governance or secure data management
  • Familiarity with AI-assisted or agentic coding tools
  • Strong problem-solving skills and the ability to work independently in a fast-paced environment
  • Experience in healthcare, medical devices, regulated environments, AI products, MLOps, LLMs, vector databases, RAG systems or machine learning frameworks such as PyTorch would be a strong advantage, but is not essential.


Responsibilities

What you’ll be doingYou will be responsible for designing, developing and maintaining software across frontend, backend and cloud infrastructure environments. This will include building scalable web applications, APIs, microservices and integrations to support AI-driven healthcare products. You will also work on cloud infrastructure, containerised applications, CI/CD pipelines and deployment workflows, helping to ensure the platform is reliable, secure and scalable as the company grows. Given the healthcare focus, security, data privacy and compliance will be key. You will contribute to secure software development practices, support the handling of sensitive clinical data, and work closely with quality and regulatory stakeholders where required. A key part of the role will involve supporting the integration of machine learning models into production systems and contributing to the development of AI-enabled product features.

  • What we’re looking forThe ideal candidate will bring5+ years’ experience in software engineering or full-stack development
  • Strong experience building and maintaining production web applications
  • Backend development experience and strong API design capability
  • Frontend development experience using modern web technologies
  • Experience deploying and managing cloud infrastructure
  • Experience with Docker and Kubernetes
  • CI/CD and modern DevOps experience
  • Strong understanding of cybersecurity and secure software development
  • Experience with data privacy, governance or secure data management
  • Familiarity with AI-assisted or agentic coding tools
  • Strong problem-solving skills and the ability to work independently in a fast-paced environment
  • Experience in healthcare, medical devices, regulated environments, AI products, MLOps, LLMs, vector databases, RAG systems or machine learning frameworks such as PyTorch would be a strong advantage, but is not essential.


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