MX is a financial technology company on a mission to empower the world to be financially strong. We build the data infrastructure and intelligent solutions that help leading banks, credit unions, and fintechs deliver smarter, more personalized financial experiences to millions of consumers every day.
Operating at the intersection of scale and agility, MX combines the momentum of a market-proven platform with the speed, innovation, and ownership of a growth-stage company. Here, thoughtful execution matters, innovation is expected, and team members have a direct seat at the table to influence products and outcomes.
Our culture is built on curiosity, accountability, and measurable impact. We give people the autonomy to question assumptions, build better systems, and shape how we scale. If you’re driven to tackle complex technical and business challenges alongside a collaborative team that builds with sane, high-trust execution, you’ll thrive at MX.
The Product Security Architect champions secure development, application security, and the secure adoption of AI throughout the organization. Working with the Engineering and Product teams, the Security Architect ensures that applications are developed using secure patterns and reviews changes to existing applications. They also ensure that the underlying infrastructure, systems, and AI services are managed securely.
As a key member of the Information Security department, the Security Architect helps build a comprehensive suite of security capabilities, controls, and standards, and uses AI to scale and automate that work. In a nutshell: building security and automation into DevOps/SRE and engineering processes, and building security into how MX builds and uses AI.
Job Responsibilities
- Architect security systems and designs to help secure MX’s platform and products, including AI and LLM-powered features, both in the cloud and on-prem/colo.
- Mature the MX Security Architecture review program and processes, with review criteria for both traditional applications and AI systems (agents, RAG pipelines, model and tool integrations).
- Automate application security tooling by building it into CI/CD processes, using AI-assisted analysis to triage findings, reduce false positives, and suggest fixes to developers.
- Ensure that software is developed securely with resilient architectures and patterns, including guardrails for AI features that handle customer or financial data.
- Partner with the Platform and DevOps teams to implement appropriate security architecture through threat models, tooling, and automation for Kubernetes, AWS/GCP, and the AI services and models running on them.
- Establish security checkpoints in the SDLC to ensure that secure code practices are followed, including standards for secure use of AI coding assistants and review of AI-generated code.
- Write automation scripts, Terraform, custom SAST/IAST rules, and integration code to embed security controls directly into engineering workflows.
- Understand and track the current threat landscape for the products and software we develop, including AI-specific threats (OWASP Top 10 for LLM Applications, MITRE ATLAS), and create controls accordingly.
- Function as a subject matter expert on application security architecture and AI security architecture.
- Assess third-party software and AI vendors for security risk, and help shape MX's AI governance.
- Support security engineering initiatives by guiding and mentoring engineers across the security organization.
- Partner with stakeholders to mature a Security Champion program designed to both build in security concepts in our development flows, but also empower our development and engineering teams to self-identify and remediate findings traditionally driven by a ProdSec or AppSec engineer.
Basic Qualifications (Must-Have)
- Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent practical experience).
- 12+ years of experience in Application Security, Application Architecture, DevOps, or a related field.
- Solid understanding of automation tooling, primarily CI/CD pipelines and containers, and experience using AI tools to automate or speed up security work.
- Solid understanding of computer security principles and development processes, including AI-specific threats and frameworks.
- Deep understanding of software dependencies, related vulnerabilities, and secure use of software repositories and open source software, extending to AI models, datasets, and AI-generated code.
- Knowledge of secure coding principles implemented in 2-3 languages and the ability to partner and collaborate with developers, including guiding the secure use of AI coding assistants.
- Excellent communication skills and the ability to engage with technical and non-technical departments and teams.
Preferred Qualifications
- Master's degree or PhD in Computer Science, Information Security, or a related field.
- Hands-on experience securing applications that use LLMs, ML models, or AI agents.
- Knowledge of financial industry regulations, such as SOC 2 and PCI.
- Experience in a regulated, fintech, or SaaS environment, and a track record of mentoring engineers or acting as a team lead.
MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to [email protected].
Skills Required
- Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience
- 12+ years of experience in Application Security, Application Architecture, DevOps, or a related field
- Experience with automation tooling, primarily CI/CD pipelines and containers
- Experience using AI tools to automate or accelerate security work
- Understanding of computer security principles, development processes, AI-specific threats, and security frameworks
- Deep understanding of software dependencies, vulnerabilities, software repositories, open-source software, AI models, datasets, and AI-generated code
- Knowledge of secure coding principles in two to three programming languages
- Ability to partner and collaborate with developers and guide secure use of AI coding assistants
- Excellent communication skills with technical and non-technical teams
- Master's degree or PhD in Computer Science, Information Security, or a related field
- Hands-on experience securing applications using LLMs, ML models, or AI agents
- Knowledge of financial industry regulations such as SOC 2 and PCI
- Experience in a regulated, fintech, or SaaS environment
- Experience mentoring engineers or acting as a team lead
MX Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MX Technologies and has not been reviewed or approved by MX Technologies.
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Leave & Time Off Breadth — Time off includes flexible time off, paid holidays, and a companywide winter recharge week. A formal sabbatical program and flexible working arrangements expand time‑away options.
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Healthcare Strength — Healthcare support includes subsidized medical coverage, employer HSA contributions, and free mental‑health options with access to financial and legal services. These offerings indicate a robust core health package.
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Parental & Family Support — Parental and family support features generous parental leave and childcare support within a stated family‑first approach. Such resources strengthen coverage for growing families.
MX Technologies Insights
What We Do
MX Technologies is a fintech company that aims to connect people with their financial data in a way that automates their money experience. MX Technologies, the financial data platform and leader in modern connectivity, helps organizations everywhere connect to the world’s financial data and turn raw, unstructured data into their most valuable asset to deliver intelligent and personalized money experiences. MX connects more than 16,000 financial institutions and fintechs providing the industry’s most reliable and secure data connectivity network. MX Technologies enhances financial data by cleansing, categorizing, and adding metadata that empowers organizations to deliver personalized experiences, reduce fraud, approve loans faster, and help customers save and invest smarter. Founded in 2010, MX Technologies is one of the fastest-growing fintech innovators. Additionally, MX powers 85% of digital banking providers, as well as thousands of banks, credit unions, and fintechs, with a combined reach of over 200 million consumers.
