As Head of Solutions Engineering, Americas, you'll own and scale Vanta's regional SE organization — driving technical win rates, accelerating deals, and shaping how the world's leading trust platform goes to market across North America.
As Head of Solutions Engineering, Americas, you'll own and scale Vanta's regional SE organization — driving technical win rates, accelerating deals, and shaping how the world's leading trust platform goes to market across North America.
Projects you may be working on in this position include • 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 • Designing and maintaining scalable data processing pipelines for large codebases and document repositories, including extraction, indexing, stream processing, batch jobs, and parallel execution • Improving AI application security through controls such as prompt injection prevention, sensitive data filtering, supply chain security, and secure handling of model inputs and outputs • Enhancing NerdWallet's secure software development lifecycle (SSDLC) through automation, tooling, and developer-friendly security practices • Partnering with engineering teams to prioritize and remediate application and infrastructure security risks • Supporting incident response and on-call needs by contributing security engineering expertise, tooling, automation, and analysis when security issues arise • Identifying new opportunities for automation and AI augmentation across the security team, bringing fresh eyes and independent thinking to a growing backlog of high-impact work Where you can make an impact: • Serve as technical lead on high-priority initiatives, taking ownership of technically complex work and collaborating across teams to deliver practical, measurable security outcomes • Help shape how AI and automation are securely adopted across NerdWallet's engineering ecosystem • Build tools and platforms that make security more accessible, scalable, and actionable for development teams • Improve the speed and quality of security reviews through thoughtful automation and security-first design • Strengthen customer trust by helping protect NerdWallet's products, systems, and sensitive data • Serve as an internal subject matter expert on AI and automation, advising on appropriate use cases, limitations, and risks to both technical and non-technical stakeholders Your experience: • 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; working understanding of AI-specific security risks such as prompt injection, sensitive data exposure, and secure handling of model inputs and outputs • Genuine interest in AI and how it applies to security, not just as a tool to use, but as a domain to understand deeply, including its limitations and 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 • Understanding of caching and performance patterns including Redis, semantic caching, TTLs, and cache invalidation • Strong communication skills, able to explain complex AI and security concepts clearly to both technical and non-technical audiences, and confident advising stakeholders on tradeoffs and limitations Where: • This role will be remote (based in the U.S.). • We believe great work can be done anywhere.
Projects you may be working on in this position include • 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 • Designing and maintaining scalable data processing pipelines for large codebases and document repositories, including extraction, indexing, stream processing, batch jobs, and parallel execution • Improving AI application security through controls such as prompt injection prevention, sensitive data filtering, supply chain security, and secure handling of model inputs and outputs • Enhancing NerdWallet's secure software development lifecycle (SSDLC) through automation, tooling, and developer-friendly security practices • Partnering with engineering teams to prioritize and remediate application and infrastructure security risks • Supporting incident response and on-call needs by contributing security engineering expertise, tooling, automation, and analysis when security issues arise • Identifying new opportunities for automation and AI augmentation across the security team, bringing fresh eyes and independent thinking to a growing backlog of high-impact work Where you can make an impact: • Serve as technical lead on high-priority initiatives, taking ownership of technically complex work and collaborating across teams to deliver practical, measurable security outcomes • Help shape how AI and automation are securely adopted across NerdWallet's engineering ecosystem • Build tools and platforms that make security more accessible, scalable, and actionable for development teams • Improve the speed and quality of security reviews through thoughtful automation and security-first design • Strengthen customer trust by helping protect NerdWallet's products, systems, and sensitive data • Serve as an internal subject matter expert on AI and automation, advising on appropriate use cases, limitations, and risks to both technical and non-technical stakeholders Your experience: • 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; working understanding of AI-specific security risks such as prompt injection, sensitive data exposure, and secure handling of model inputs and outputs • Genuine interest in AI and how it applies to security, not just as a tool to use, but as a domain to understand deeply, including its limitations and 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 • Understanding of caching and performance patterns including Redis, semantic caching, TTLs, and cache invalidation • Strong communication skills, able to explain complex AI and security concepts clearly to both technical and non-technical audiences, and confident advising stakeholders on tradeoffs and limitations Where: • This role will be remote (based in the U.S.). • We believe great work can be done anywhere.
SF Office, San Francisco, California, NYC Office, New York City, New York42d agoFull-timeRemote
We are looking for experienced Staff Platform Engineers to join our team and help scale our cloud infrastructure, developer platform, and operational maturity in kind.
$228,000 - $290,000
Remote
systems thinking, autonomy, and organizational leadership to take platform capabilities from 0 to 1 and scale them across the company. This is a unique opportunity to help shape the future of AI-first, cloud-native, security-first infrastructure at scale. What You'll Do
Design, build, and evolve cloud infrastructure platforms including networking, IAM, Kubernetes, databases, streaming and pubsub platforms, storage, distribution, observability, and more.
Lead the architecture and operational evolution of multi-tenant, multi-region, and multi-cloud infrastructure with strong reliability, scalability, and security boundaries.
SF Office, San Francisco, California, NYC Office, New York City, New York42d agoFull-time
We are looking for experienced Staff Platform Engineers to join our team and help scale our cloud infrastructure, developer platform, and operational maturity in kind.
$228,000 - $290,000
Remote
systems thinking, autonomy, and organizational leadership to take platform capabilities from 0 to 1 and scale them across the company. This is a unique opportunity to help shape the future of AI-first, cloud-native, security-first infrastructure at scale. What You'll Do
Design, build, and evolve cloud infrastructure platforms including networking, IAM, Kubernetes, databases, streaming and pubsub platforms, storage, distribution, observability, and more.
Lead the architecture and operational evolution of multi-tenant, multi-region, and multi-cloud infrastructure with strong reliability, scalability, and security boundaries.
Irving, Texas, United States42d agoFull-timeOn-site
• Senior Quality Engineer, Automation & Testing Platform - • Lead quality assurance efforts for a highly integrated platform that supports subscription services, vehicle data updates, and customer account management.
• Senior Quality Engineer, Automation & Testing Platform - • Lead quality assurance efforts for a highly integrated platform that supports subscription services, vehicle data updates, and customer account management.
Position Overview Burlington is seeking a self-driven and highly motivated individual to join a dynamic team with a passion for data, software, and engineering.
Position Overview Burlington is seeking a self-driven and highly motivated individual to join a dynamic team with a passion for data, software, and engineering.
Huntsville, Alabama, United States of America43d agoFull-timeOn-site
The Corporate Automation Program Lead – API is a senior automation position that will lead the design and delivery of major capital projects as part of Lilly’s manufacturing expansion.
Huntsville, Alabama, United States of America43d agoFull-time
The Corporate Automation Program Lead – API is a senior automation position that will lead the design and delivery of major capital projects as part of Lilly’s manufacturing expansion.
Houston, Texas, United States of America43d agoFull-timeOn-site
Responsibilities The Principal Automation Engineer – DeltaV System Administrator is a mid-level automation engineering position that requires a deep understanding of process automation systems (DeltaV), Lilly’s computer system validation practices, cGMP standards related to computer systems, and data integrity as they relate to pharmaceutical manufacturing.
Houston, Texas, United States of America43d agoFull-time
Responsibilities The Principal Automation Engineer – DeltaV System Administrator is a mid-level automation engineering position that requires a deep understanding of process automation systems (DeltaV), Lilly’s computer system validation practices, cGMP standards related to computer systems, and data integrity as they relate to pharmaceutical manufacturing.