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.

Own and evolve GitLab’s authorization systems across its Ruby on Rails monolith and next-generation Rust policy engine. Design fine-grained permissions for users, tokens, roles, and AI agents; secure GraphQL and REST APIs; lead feature-flagged rollouts and migrations; improve performance and reliability; and collaborate across authentication, platform, AI, and modular-service teams in a distributed asynchronous environment.

Provides cross-team technical leadership for complex backend initiatives, modular architecture, monolith modernization, API and platform standards, production operations, and AI-assisted engineering adoption. Designs shared patterns for services, data, eventing, security, testing, observability, deployment, and reliability. Partners with Product and Engineering leadership, mentors engineers, participates in incident response, and drives technical strategy without formal authority.

Build, test, ship, and operate production backend features with minimal guidance. Design APIs, background jobs, integrations, data models, migrations, and bounded services while maintaining security, performance, observability, and reliability. Review code, improve automated testing, investigate production issues, address technical debt, participate in operational support, and collaborate asynchronously with product, frontend, infrastructure, and security teams. Use AI coding tools responsibly by validating and correcting generated output.

Supports the Customer Experience department by streamlining processes, coordinating cross-functional projects, executing deliverables, maintaining recurring compliance-related work, and fostering collaboration across Services, Success, and Support teams. The intern will receive onboarding, mentorship, routine check-ins, and exposure to multiple teams and stakeholders while working remotely during a 14–16-week term.

Lead the architecture and implementation of scalable distributed systems powering AI features for millions of users. Build production infrastructure, data pipelines, and model-serving interfaces using Python, SQL, Spark or Dask, AWS, and Kubernetes. Partner with applied scientists to productionize ML and LLM features, own operational reliability and technical debt, respond to incidents, and mentor engineers while improving engineering practices across the AI Products team.

Lead revenue analytics by developing business cases, dashboards, KPIs, experiments, and automated analytics solutions. Partner with Client Success, Marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and identify growth opportunities. The role requires translating structured and unstructured data into actionable insights, standardizing analytical workflows, and communicating recommendations to internal and external stakeholders.

Lead the design, scalability, reliability, and optimization of continuous integration systems across multiple services and platforms. Improve build times, testing, reporting, deployment workflows, monitoring, and incident response. Drive CI/CD strategy and developer productivity initiatives, mentor CI engineers, collaborate across engineering, and align infrastructure with company goals. The role also requires expertise in modern build systems, cloud-native environments, infrastructure as code, and large monorepos.

Lead high-visibility technical transformation and operational programs across engineering, product, analytics, and cross-functional teams. Establish data-driven planning frameworks, improve processes, manage dependencies and risks, align stakeholders, guide investment decisions, and drive organizational change. Develop communication strategies, promote accountability, and enable effective software delivery and continuous improvement at scale.

Lead design and delivery of large-scale AI/ML and retrieval systems for cybersecurity. Build end-to-end ML architecture, models (anomaly detection, ranking, RAG/LLM), and production infrastructure. Drive technical strategy, cross-functional initiatives, experimentation, and mentor junior scientists while balancing latency, scalability, reliability, and business impact.

Conduct manual penetration testing, secure code reviews, and SAST triage across web applications, APIs, and AWS infrastructure. Develop AI-assisted security tooling, define testing approaches for LLM applications and agentic systems, and review AI-generated software before production. Communicate vulnerabilities, risks, and remediation priorities to engineering teams while improving secure SDLC practices.

Build and operate GRC data pipelines, integrations, policy-as-code, continuous control monitoring, evidence automation, and agentic AI workflows. Normalize security data from diverse systems, create auditable evaluation harnesses, govern AI systems, and define technical direction across teams. Partner with security governance, compliance, and engineering groups to transform manual governance processes into scalable products.

Provide practical legal and regulatory guidance for AI, software, hardware, data, and climate technology products throughout the product lifecycle. Advise product, engineering, design, marketing, and technology teams on privacy, security, AI governance, and global regulations. Draft and negotiate partnership, commercial, and third-party agreements; review customer-facing content; enhance compliance programs; and create scalable legal playbooks, policies, templates, and training.

Lead the technical vision and architecture of Coinbase’s FinHub financial infrastructure, including ledger, account balances, money movement, settlements, transfers, and transaction history. Drive distributed-system rearchitecture with double-entry accounting, idempotency, reconciliation, auditability, and resilient failure recovery. Lead cross-team initiatives, migrations, and technical strategy while partnering with product, finance, risk, compliance, and operations stakeholders. Mentor senior engineers and promote operational excellence and maintainability.