Debug and improve software across diverse codebases, identify and remediate vulnerabilities, conduct security audits and penetration testing, refactor legacy systems, optimize backend applications, and document technical findings. The role contributes cybersecurity and software engineering expertise to AI training datasets while working independently on project-defined tasks.
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking Cybersecurity & Software Engineering Specialists to contribute technical expertise to an AI training project. You will work across diverse codebases to debug software, identify vulnerabilities, improve application security, and optimize backend systems. Your practical engineering experience will help shape high-quality datasets used to train next-generation AI systems.
No prior AI experience is required. We are looking for professionals with strong cybersecurity and software engineering expertise who can provide accurate, real-world technical insights.
CONTRACT: Contractor
LOCATION: Remote — APJ, NAMER, LATAM, and EMEA
Key Responsibilities
- Analyze, debug, and resolve software bugs and security vulnerabilities across diverse codebases.
- Implement features and improve existing functionality using Python 3, Java, Rust, Go, C++, or TypeScript.
- Refactor legacy code to improve maintainability, security, and performance.
- Conduct codebase audits, penetration testing, and security assessments to identify and mitigate risks.
- Contribute to backend development and optimize applications for scalability and security.
- Apply secure software development practices and assess potential security risks.
- Document technical findings and recommend practical improvements.
- Provide real-world engineering and cybersecurity insights to improve AI training datasets.
Requirements
- Professional experience with one or more of the following languages: Python 3, Java, Rust, Go, C++, or TypeScript.
- Demonstrated experience debugging, fixing software bugs, and working with complex codebases.
- Strong background in cybersecurity, penetration testing, security audits, or vulnerability assessment.
- Experience with codebase refactoring, algorithms, or software performance optimization.
- Understanding of secure software development practices and common security risks.
- Ability to communicate complex technical findings clearly and concisely.
- Ability to work independently and complete tasks according to project specifications.
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
