Location: Remote
Type: Full-time
Qohash is building the zero copy data security control layer enterprises need to adopt AI safely.
Our platform, Qostodian, helps large organizations discover, classify, govern, and remediate sensitive unstructured data across their most critical data sources without moving or copying the data. This zero copy architecture reduces exposure, preserves data sovereignty, and allows enterprises to secure data directly where it lives.
This matters because AI adoption is increasing the risk, complexity, and urgency of enterprise data security. Before organizations can safely deploy AI agents, copilots, retrieval systems, or automated workflows, they need to know where sensitive data lives, who and what can access it, and how to enforce controls at scale.
Our 5 core values are more than just words, they are a way of life for us:
Pursuit of excellence
Resilience
Mission focus
Accountability
Embracing conflict
The Senior Full Stack Developer thrives in an environment where AI is at the core of how we work and scale. You are a builder who codes with speed and precision, turning ideas into working automations that remove bottlenecks and accelerate results. You have a natural curiosity for generative AI and automation frameworks, and you know how to apply them pragmatically to multiply impact. Independent yet collaborative, you are motivated by delivering outcomes that push Qohash closer to becoming an AI-first cybersecurity company.
Build the AI data security analyst embedded in Qostodian, owning the agent runtime end to end: orchestration on the Claude Agent SDK, conversation memory and rehydration, streaming reasoning and tool activity, and prompt lifecycle.
Design and ship the MCP tool layer: exposing Qostodian's search, statistics, workflow, and remediation services as governed, well-typed tools, and translating natural language into queries and platform actions.
Ship agentic scenarios that customers run against their own data: insider-risk investigations, lost or stolen device impact reports, risk-reduction plans, including the generated artifacts and reports that come out of them.
Contribute to the front end, building a new kind of UI experience in the AI-first paradigm, where the conversation, not the dashboard, is the primary surface: streaming reasoning traces, generated visualizations, exports, and prompt interruption.
Extend the skills architecture: author first-party skills, and build the substrate that lets customers create, enable, and govern their own.
Treat quality as an engineering problem: eval suites and golden conversation sets that gate prompt, tool, and skill changes the way tests gate code. Write clean, well-documented, maintainable code that the next person can extend.
Own a production system end-to-end: deploy it, instrument it, and keep it healthy, monitoring and alerting on agent failures, tool errors, latency and cost, and evaluating real production sessions to catch quality drift before customers feel it.
Participate in code reviews and knowledge-sharing: use AI coding tools aggressively to ship in days rather than months, and help set the bar for an AI-first engineering culture at Qohash.
7+ years of experience in software development in Python
Hands-on experience with owning and developing an AI agent solution in a live production environment (e.g. Claude Agent SDK or Langchain)
Familiarity with AI-driven coding tools (e.g. Claude Code or equivalent)
A proven ability to work independently, solve problems quickly, and deliver outcomes at speed
Bilingual (English/French)
Based in Quebec (preferred)
Experience with AWS
Contributions to open-source projects or a personal coding portfolio
Cybersecurity awareness or best-practice knowledge
Startup environment experience
Competitive salary range
Up to six weeks of paid time off annually
Comprehensive health benefits including:
Qohash is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. A working proficiency in English is required for this position based on the company's operational requirements.
Qohash is a Canadian data security company building foundational technology for digital sovereignty. The company specializes in AI-powered security solutions that protect sensitive data without requiring data to be moved or copied, addressing a critical gap in how organizations approach data protection at scale. Qohash is positioning itself as a globally respected technology champion focused on protecting the world's most sensitive data and creating a safer digital future. The company operates at the intersection of policy, technology, and global expansion, serving enterprise clients with mission-critical security needs.
