Top Remote Jobs in Ottawa

Lead Canada regulatory and financial crime compliance programs: engage regulators, horizon-scan Canadian legislation, maintain 2LoD FinCrime policies (KYC/EDD/transaction monitoring), advise product teams for compliant-by-design features, oversee monitoring/testing and internal audits, manage remediation and board reporting, and collaborate cross-functionally to embed scalable compliance controls.

Build and maintain Ruby on Rails backend features for vulnerability management, including security dashboards, reports, and ingestion pipelines. Improve system performance, reliability, and scalability; collaborate across backend, frontend, product, design, and security teams; review code; address technical debt; and participate in on-call rotations. The role requires relational database experience, distributed-team collaboration, technical problem-solving, and contributions across the stack when needed.

Lead GitLab’s Security Posture Management team within Product Security. Drive governed security capability rollouts across the software estate, establish secure configuration baselines, build software supply chain security, manage risk registers and posture metrics, support audit evidence, and provide customer-zero feedback to Product and Engineering. Hire, coach, and develop the team while representing GitLab’s security practices externally and driving measurable risk reduction in a remote, asynchronous environment.

Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Manage a portfolio of small and medium business customers to grow relationships and secure additional capital. Analyze business profiles and financial history to recommend Forward Financing products. Use data and reporting to prioritize opportunities, own the sales process from approval to close, and meet monthly quotas while collaborating with underwriting and peers.

Lead Forward Financing’s application and product security program, including pentesting, code review, vulnerability remediation, AI security testing, secure SDLC practices, and external exposure controls. Manage and develop senior security engineers, establish testing standards and remediation SLAs, build security services, and partner with engineering and executives to prioritize risk across web applications, APIs, cloud infrastructure, and AI-built software.

Partner with Talent Acquisition and People teams to design and deliver People-platform integrations, data services, and AI-enabled automations. Build reusable integrations and platform patterns (Workday, Greenhouse), evaluate vendors, prototype AI solutions, and steward platform operations, governance, and security to scale People technology across the organization.

Lead the Android platform for Cash App Consumer Platform, building foundational infrastructure, shared libraries, architecture patterns, observability, performance tooling, and developer experiences used across the organization. Drive AI-native engineering practices and tools, identify cross-cutting technical problems, lead architecture reviews, mentor engineers, and collaborate across Android, iOS, web, backend, product, and design teams.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

Conduct third-party security assessments, evaluate vendor controls, document risk findings, automate GRC workflows with Python and agentic coding tools, maintain integrations across ticketing and risk platforms, and develop dashboards and reporting. Partner with Procurement, Legal, Engineering, IT, Compliance, and Privacy to support risk-informed decisions and mature security governance processes.

Supports application security across product and engineering teams by reviewing code, configurations, designs, logs, and vulnerabilities. Assesses and prioritizes risks, guides remediation, contributes scripts, detections, tests, secure defaults, and automation, and improves vulnerability management workflows. Collaborates with technical and non-technical stakeholders to communicate risk, recommend mitigations, and connect AppSec practices to customer trust, compliance, resilience, and business outcomes.

Supports application security across product and engineering teams by reviewing code, configurations, designs, vulnerabilities, and pull requests. Helps triage and prioritize security findings, provides remediation guidance, develops scripts and automation, and promotes secure coding practices. The role communicates risk to technical and non-technical stakeholders, collaborates cross-functionally, and develops offensive, defensive, and software engineering skills.

Lead end-to-end software engineering initiatives to design, develop, and deploy scalable AI-powered enterprise solutions. Provide architectural direction, evaluate emerging technologies, use approved AI tools, collaborate with product, architecture, and data science teams, conduct code reviews, and mentor engineers. The role focuses on intelligent healthcare software platforms, responsible AI adoption, and continuous engineering improvement.

Develop and execute personalized account-based marketing programs for strategic B2B accounts. Partner with Sales to prioritize accounts, engage buying groups, create pipeline, and accelerate opportunities through coordinated multi-channel campaigns. Analyze account, intent, engagement, and pipeline data; run experiments; apply AI responsibly; and scale successful campaigns into repeatable playbooks. The role requires strong writing, analytical judgment, cross-functional influence, and independent ownership of complex ABM initiatives.

Develop and architect scalable iOS applications for millions of users. Collaborate with Product, Design, and Engineering teams to deliver features, promote clean architecture and iOS best practices, monitor performance and crash analytics, and support technical excellence through testing, code reviews, and maintainable code.

Analyzes pipeline, funnel conversion, campaign performance, retention, and revenue drivers across Sales, Marketing, and Client Success. Builds and maintains dbt models, data marts, quality controls, documentation, and BI-as-code assets using Salesforce and modern data-stack technologies. Partners with stakeholders to turn ambiguous questions into decisions and advances AI-agent workflows for faster analytics and reporting.