2 months ago

Security Software Engineer, AI & Automation

✓ 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

As a Security Software Engineer focused on AI and Automation, you will design AI-powered security systems, automate threat modeling, and reduce risk across NerdWallet's platforms. You will build scalable backend services and REST APIs, integrate with common tooling, and advance the secure SDLC through automation and innovative AI solutions.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Designing and building multi-agent LLM systems and routing logic that automate threat modeling, security design review, policy Q&A, and vulnerability analysis at scale.
•Developing retrieval-augmented generation (RAG) pipelines and semantic search systems across large code and documentation repositories.
•Creating automated code review capabilities that help identify insecure patterns and improve software quality earlier in the development lifecycle.
•Designing integrations with tools such as GitHub, Slack, Jira, Confluence, and cloud platforms to embed security guidance into everyday engineering workflows.
•Developing REST APIs and platform services with authentication, authorization, rate limiting, observability, and secure handling of sensitive data.

Pay and Benefits

Salary: USD 127,000 - 207,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kRemote WorkWellness StipendWifi StipendEquipment StipendSabbaticalVolunteer Time

Key Requirements

•3+ years of software engineering or security engineering experience.
•Strong 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.
•Working knowledge of application security concepts including common vulnerability classes such as injection, broken authentication, cross-site scripting, insecure authorization, and secrets exposure; experience with threat modeling and SSDLC practices.
•Hands-on experience building AI-powered systems using LLM APIs, including retrieval-augmented generation (RAG) pipelines, multi-agent architectures, and semantic search; understanding AI-specific security risks.

Experience:3+ yearsAISecurityCloudDistributed systems

Skills:PythonGoREST APIsAWSKubernetesRedisLLMRAGSecuritySSDLC

Languages:English

Tech Stack:PythonGoREST APIAWSKubernetesECSServerlessRedisNoSQLLLMRAG

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

✓ 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: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Designing and building multi-agent LLM systems and routing logic that automate threat modeling, security design review, policy Q&A, and vulnerability analysis at scale.
•Developing retrieval-augmented generation (RAG) pipelines and semantic search systems across large code and documentation repositories.
•Creating automated code review capabilities that help identify insecure patterns and improve software quality earlier in the development lifecycle.
•Designing integrations with tools such as GitHub, Slack, Jira, Confluence, and cloud platforms to embed security guidance into everyday engineering workflows.
•Developing REST APIs and platform services with authentication, authorization, rate limiting, observability, and secure handling of sensitive data.

Pay and Benefits

Salary: USD 127,000 - 207,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kRemote WorkWellness StipendWifi StipendEquipment StipendSabbaticalVolunteer Time

Key Requirements

•3+ years of software engineering or security engineering experience.
•Strong 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.
•Working knowledge of application security concepts including common vulnerability classes such as injection, broken authentication, cross-site scripting, insecure authorization, and secrets exposure; experience with threat modeling and SSDLC practices.
•Hands-on experience building AI-powered systems using LLM APIs, including retrieval-augmented generation (RAG) pipelines, multi-agent architectures, and semantic search; understanding AI-specific security risks.

Experience:3+ yearsAISecurityCloudDistributed systems

Skills:PythonGoREST APIsAWSKubernetesRedisLLMRAGSecuritySSDLC

Languages:English

Tech Stack:PythonGoREST APIAWSKubernetesECSServerlessRedisNoSQLLLMRAG

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