Senior Software Engineer - Cloud Infrastructure
About The Position
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. 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. 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.
Requirements
- 5+ years of experience in software engineering, DevOps, 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 CloudFormation preferred. Terraform or other IaaC technologies will also be valuable
- Proven experience designing and owning CI/CD pipelines for production systems (GitHub 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
Nice To Haves
- Experience delivering software that customers deploy in their own cloud accounts (private SaaS, AWS Marketplace, BYOC models)
- Background or interest in 3D visualization, CAD, or engineering software
- Experience designing and evaluating performance and load testing in high scale environments
- Experience with AWS GovCloud or other regulated or air-gapped environments
- Familiarity with compliance frameworks such as CMMC, FedRAMP, NIST 800-171/800-53, or FIPS 140-validated cryptography
- Exposure to multiple cloud providers (AWS, Azure, GCP, etc.)
- Familiarity with Scala/JVM build tooling (sbt, Gradle, Maven) and C++ build systems
- Working knowledge of observability platforms such as Datadog, CloudWatch, or similar tools
- Knowledge of software supply-chain security practices (SBOMs, signing, hardened base images)
Responsibilities
- 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 GovCloud
- 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
- 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, Opensearch, 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
Benefits
- Competitive compensation and benefits
- Flexible remote culture
- Meaningful technical ownership
- Opportunity to grow into Staff or Principal-level engineering leadership
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
