2 months ago

Security Software Engineer, AI & Automation - Canada

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Security Software Engineer focused on AI and Automation building AI-powered security systems to scale secure software development. Partner with security and infrastructure teams to automate threat modeling, vulnerability analysis, and security reviews across NerdWallet’s engineering ecosystem. Shape the evolution of AI/automation practices, embed security guidance into workflows, and lead high-impact security initiatives.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build AI-powered security systems including multi-agent LLMs and routing logic to automate threat modeling, security design review, policy Q&A, and vulnerability analysis at scale.
•Develop retrieval-augmented generation (RAG) pipelines and semantic search systems across large code and documentation repositories.
•Create automated code review capabilities to identify insecure patterns and improve software quality earlier in the development lifecycle.
•Design integrations with tools such as GitHub, Slack, Jira, Confluence, and cloud platforms to embed security guidance into engineering workflows, and develop REST APIs with authentication, authorization, rate limiting, and observability.
•Lead security initiatives, partner with engineering teams to remediate risks, and support incident response with tooling, automation, and analysis.

Pay and Benefits

Salary: CAD 123,000 - 188,000 annually

Perks:Paid SabbaticalHealth InsuranceWellness StipendWifi StipendCell PhoneRemote EquipmentRrsp Match

Key Requirements

•3+ years of software engineering or security engineering experience.
•Proficiency in Python or Go for building production-grade backend services, APIs, and data pipelines; comfort moving between languages is expected.
•Experience building and maintaining backend services including REST APIs, authentication, authorization, rate limiting, streaming, and observability.
•Hands-on experience building AI-powered systems using LLM APIs, including retrieval-augmented generation (RAG) pipelines, multi-agent architectures, and semantic search; working understanding of AI-specific security risks.
•Experience developing and operating distributed systems and cloud-based environments, including message queues, NoSQL databases, AWS, containers, Kubernetes or ECS, serverless, and infrastructure as code

Experience:AISecurityCloudDistributed systemsLLM

Skills:CommunicationProblem-solvingCollaborationStakeholder managementTeamwork

Tech Stack:PythonGoRESTAPIsAWSDockerKubernetesECSServerlessInfrastructure as codeRedisLLMRAGSemantic searchGitHubJiraConfluenceSlackObservabilitySecurity engineering

Company Brief

NerdWallet

NerdWallet provides personal finance guidance, comparison tools, and financial product recommendations (credit cards, mortgages, insurance, loans) to help consumers and small businesses make informed money decisions via content, calculators, and advisory services.

Industry: Publishing

Company Size: Large (251 to 1,000 employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Glassdoor: 3.5

Website LinkedIn Glassdoor

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NerdWallet

2 months ago

Security Software Engineer, AI & Automation - Canada

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build AI-powered security systems including multi-agent LLMs and routing logic to automate threat modeling, security design review, policy Q&A, and vulnerability analysis at scale.
•Develop retrieval-augmented generation (RAG) pipelines and semantic search systems across large code and documentation repositories.
•Create automated code review capabilities to identify insecure patterns and improve software quality earlier in the development lifecycle.
•Design integrations with tools such as GitHub, Slack, Jira, Confluence, and cloud platforms to embed security guidance into engineering workflows, and develop REST APIs with authentication, authorization, rate limiting, and observability.
•Lead security initiatives, partner with engineering teams to remediate risks, and support incident response with tooling, automation, and analysis.

Pay and Benefits

Salary: CAD 123,000 - 188,000 annually

Perks:Paid SabbaticalHealth InsuranceWellness StipendWifi StipendCell PhoneRemote EquipmentRrsp Match

Key Requirements

•3+ years of software engineering or security engineering experience.
•Proficiency in Python or Go for building production-grade backend services, APIs, and data pipelines; comfort moving between languages is expected.
•Experience building and maintaining backend services including REST APIs, authentication, authorization, rate limiting, streaming, and observability.
•Hands-on experience building AI-powered systems using LLM APIs, including retrieval-augmented generation (RAG) pipelines, multi-agent architectures, and semantic search; working understanding of AI-specific security risks.
•Experience developing and operating distributed systems and cloud-based environments, including message queues, NoSQL databases, AWS, containers, Kubernetes or ECS, serverless, and infrastructure as code

Experience:AISecurityCloudDistributed systemsLLM

Skills:CommunicationProblem-solvingCollaborationStakeholder managementTeamwork

Tech Stack:PythonGoRESTAPIsAWSDockerKubernetesECSServerlessInfrastructure as codeRedisLLMRAGSemantic searchGitHubJiraConfluenceSlackObservabilitySecurity engineering

Company Brief

NerdWallet

Industry: Publishing

Company Size: Large (251 to 1,000 employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Glassdoor: 3.5

Website LinkedIn Glassdoor