Senior Software Engineer - Cloud Infrastructure

Senior Software Engineer – Cloud Infrastructure

About Vertex

Vertex is a high-growth enterprise software company powering real-time, cloud-native 3D applications for the world’s most advanced manufacturers. Our platform enables Fortune 500 industrial and defense-adjacent organizations to deploy scalable, highly performant 3D-enabled workflows in secure AWS environments.

We operate at the intersection of cloud infrastructure, enterprise engineering systems, and mission-critical deployments. As Vertex scales and expands into complex enterprise programs, securely and reliably building, delivering, and operating our platform across hosted and customer-owned environments is essential to our success.

The Role

Vertex is seeking a Senior Software Engineer to play a key role in how our product is built, tested, packaged, and delivered, both in our hosted (SaaS) environments and into customer-owned cloud environments.

You will

• Build and evolve the infrastructure as code, CI/CD pipelines and release processes that ship the Vertex platform
• Make customer deployments and upgrades predictable, repeatable, and safe across many independent AWS environments, including Gov Cloud
• Work hands-on in Vertex service code when needed to improve deployability, performance, security, observability, and reliability
• Partner directly with customers and internal engineering teams to solve complex infrastructure and application problems related to performance, reliability and deployment

This role is ideal for a strong software engineer who has chosen to specialize in infrastructure, automation, and operations, and who is comfortable explaining an architecture to a customer's cloud engineering team as well as building the architecture and pipeline that deploys and thoroughly tests the platform.

Reporting Structure

Reports to:

VP of Cloud Operations & Security

What You Will Own

• Design and maintain infrastructure as code patterns and frameworks used to deploy and upgrade Vertex in customer-owned cloud accounts as well as the Vertex SaaS environment
• Own CI/CD pipelines for build, test, security scanning, artifact publishing, and release across a complex codebase (Java, Scala, Python, Node, C++)
• Improve build performance and reliability for complex builds, including Scala/JVM and C++ components
• Operate and scale containerized services on AWS (ECS Fargate, MSK, RDS/Aurora, Redis, Open search, S3) for high-throughput, high-availability workloads
• Contribute changes to Vertex service code to improve deployability, configuration, resilience, and observability
• Build automation and tooling in Python and/or Go
• Use AI-assisted tools for development, code review, infrastructure changes, and automated testing, while helping the engineering team adopt and utilize these tools effectively and responsibly
• Implement and maintain security controls in the delivery pipeline, including code coverage, source code, and dependency scanning
• Support customer deployments and upgrades: troubleshoot environment-specific issues, review customer network and security constraints, and turn lessons learned into product and infrastructure improvements
• Produce clear documentation of deployment architecture, upgrade procedures, and security posture for customers and internal teams
• Participate in incident response and drive root-cause resolution

What You Need to Succeed

• 5+ years of experience in software engineering, Dev Ops, SRE, or platform engineering roles
• Deep, hands-on AWS experience across compute, networking, IAM, and managed data services
• Strong infrastructure as code experience, with CDK and Cloud Formation preferred. Terraform or other IaaC technologies will also be valuable
• Proven experience designing and owning CI/CD pipelines for production systems (Git Hub Actions or similar)
• Strong development skills in Python and/or Go, and the ability to read and modify application code in other languages such as Scala, Node, Java or C++
• Experience operating high-scale, high-availability environments, including monitoring, alerting, and incident response
• Practical, day-to-day use of AI-assisted tools for coding, code review, test automation, incident investigation, etc.
• Excellent written and verbal communication, including comfort working directly with customer technical teams
• Experience working remotely as part of a distributed engineering team

What Will Set You Apart

• Experience delivering software that customers deploy in their own cloud accounts (private SaaS, AWS Marketplace, BYOC models)
• Background or interest in 3D…