Level

Very Good Security

Staff Software Engineer - DevEx

Very Good Security is hiring a Staff Software Engineer - DevEx for a remote role open to applicants in United States. It pays $160k-$220k a year and Level rates it ; you can apply on Very Good Security.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include AWS, Kubernetes and Java.
  • Level classifies it as a senior role.
  • Level lists 17 other open roles at Very Good Security.

AI in this role

Staff software engineer building developer experience and infrastructure for payment tokenization and agentic commerce.

awskubernetesjavatypescriptpython
ai-agentsdeveloper-experiencesoftware-engineeringdistributed-systemsinfrastructure

About VGS

VGS is building the trust infrastructure for a new era of commerce. As commerce becomes agentic, payments are increasing dramatically in volume, speed, and complexity, and the companies driving that shift need a foundation they can fully trust.

That's where VGS comes in. We're the world's leader in payment tokenization, trusted by the most innovative AI and Fortune 500 companies, merchants, banks, and fintechs to power modern payments and agentic commerce. We store more than 9 billion tokens and process more than 10 billion monthly interactions, touching a third of all e-commerce. That scale isn't incidental. It's why leading companies embed our universal token vault and credential management platform directly into their stack, taming the complexity of payment data so they can move faster.

Come build the platform that enables modern payments for the world's largest companies. We're helping businesses unlock new possibilities in an industry that never stops moving. And that takes exceptional people.

 

 

Trusted Engineering That Matters

Engineering at VGS

VGS is building the platform powering agentic commerce and global payments infrastructure. VGS Engineering is the pillar that supports that vision. We create a platform that is an indispensable, ubiquitous component of our partners' payments and security infrastructure. We build and operate high-scale, reliable, and resilient systems that manage mission-critical payment data across the globe. We don't just participate in the payments ecosystem; we power it.

Our Environment & Culture

  • Modern Tooling as Leverage: We value speed and impact. To ensure nothing slows you down, we arm you with a highly consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems that demand creativity and judgment. 

  • Ownership of Outcomes: Scaling global payments infrastructure requires individuals who take personal ownership of outcomes from day one. We look for builders who combine high agency with deep strategic alignment; channeling their urgency and relentless iteration into what matters most. 

  • Mission-Critical Accountability: We power payments infrastructure for global market leaders, making system trust and integrity our core deliverable. We don't treat compliance (PCI, SOC2, ISO27001), security patching, and platform maintenance as administrative overhead—we engineer them with first-class product discipline.  In payments infrastructure, reliability is not background work, it’s part of what customers buy.

Learn More: See how our engineering practices drive trust and innovation in our official blog and our reliability practices.

 

 

About the Role

We’re building payment infrastructure for a world where AI agents don’t just recommend, search, and summarize. They transact.

The Agentic API is creating the secure backend layer that enables trusted agents to initiate purchases, operate within user-approved mandates, retrieve scoped payment credentials, and complete transactions without exposing raw card data.

As a Staff Software Engineer, you’ll help pioneer a new category of payment infrastructure at the intersection of AI, card networks, cryptography, and secure money movement, building clean, reliable APIs for the next generation of commerce.

 

 

What You’ll Do

  • Architect Agentic Payment Infrastructure: Lead the design and evolution of Python 3.13+ and FastAPI services powering secure, production-critical agentic payment flows.

  • Define the Core API Platform: Design APIs and domain models for card enrollment, agentic token provisioning, purchase intents, mandates, device attestation, OTP flows, confirmations, and cryptogram retrieval.

  • Own Security, Reliability & Scale: Drive architectural decisions across security, scalability, availability, performance, and developer experience for sensitive payment and cryptographic workflows.

  • Build Deep Observability: Establish consistent patterns for error handling, traceability, structured logging, metrics, and distributed tracing using OpenTelemetry and Prometheus.

  • Automate Platform Provisioning: Design extensible provisioning workflows using Kubernetes APIs and Custom Resource Definitions.

  • Set the Quality Bar: Define rigorous unit, integration, acceptance, and end-to-end testing strategies for high-risk payment flows, including canary-safe production validation.

  • Lead Complex Initiatives: Lead technical design reviews, surface architectural and delivery risks early, and drive cross-functional initiatives from initial exploration through reliable production operation.

  • Pioneer AI-Native Engineering: Apply AI-assisted development and agentic workflows across the SDLC to accelerate prototyping, testing, refactoring, investigation, and delivery while maintaining a high quality and security bar.

  • Partner Across the Ecosystem: Collaborate with Product, Security, Infrastructure, Platform, and external card-network partners to translate evolving requirements into secure, scalable systems.

 

What You Bring

  • Ownership at Scale: 10+ years of experience taking personal ownership of outcomes in complex, large-scale distributed systems within mission-critical environments.

  • AWS & Infrastructure-as-Code: Advanced proficiency in AWS ecosystems leveraging Terraform to build reproducible environments.

  • Containerization & Orchestration: Strong, hands-on experience with Kubernetes (EKS), Docker, and GitOps workflows (Flux, Argo, GitHub Actions).

  • Automation & Scripting: Strong coding skills in Python to automate infrastructure and build operational tools.

  • Observability Expertise: Experience implementing Prometheus, Grafana, or OpenTelemetry at scale.

  • Security & Networking Foundations: Solid understanding of cloud security, API Gateways, load balancing, and network isolation, viewing security as a fundamental engineering constraint, not an afterthought.

Nice to Have:

  • Experience with tokenization, payment processing, or security products

  • BA/BS degree

  • A knack for out-of-the-box thinking that thrives in a fast-paced startup environment

  • Experience designing mandate, credential-provisioning, authentication, attestation, or cryptogram-based workflows.

  • Experience applying AI developer tools or agentic automation to day-to-day engineering workflows.

We're looking for passionate professionals who take pride in their craft and want to help grow a team tackling some of the most critical problems in payments. People who thrive here are curious by nature, unafraid of hard problems, and motivated by the chance to build something that matters at scale.

If you're driven to make a meaningful impact, work at the leading edge of payment technology, and grow your career alongside a team that values ownership, collaboration, and continuous learning, you'll feel right at home at VGS.

 

 

How we rate this

Staff Software Engineer - DevEx at Very Good Security rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsDeveloper ExperienceSoftware EngineeringDistributed SystemsInfrastructureAWSKubernetesJava

Also common in software engineer jobs at this level

Pay

This job starts at
$160k
Typical software engineer job
$168k

This posting starts 5% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where developer experience was part of your work. What did you do?
  3. Tell me about a project where software engineering was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where infrastructure was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Developer Experience, Software Engineering, Distributed Systems, and Infrastructure. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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