Software Engineer – Distributed Systems & Platform Engineering

Job description

Are you passionate about building systems that are resilient, scalable, and thoughtfully designed? Do you light up in technical discussions and bring fresh ideas to the table? As part of our CAD Infrastructure Development group, you'll help build and evolve the distributed systems that power our products at scale. You'll ensure our services can seamlessly and efficiently handle large-scale demands. Joining this group means you'll be responsible for contributing to the platform infrastructure that fuels our products. Together, you and your team will build the foundation that enables our engineering organization to deliver reliable, performant experiences to our customers. In this role, you will get to work on distributed systems and cloud-native technologies that enable other engineers to build better products, faster.
In this highly visible and cross-functional role as a member of our CAD Infrastructure Development team, you will be responsible for contributing to the development of distributed systems and microservices architectures. You will collaborate with multiple product and engineering teams to implement and maintain scalable, event-driven platforms. Your work will enable us to increase system reliability, improve development velocity, and deliver high-quality services at scale.
<h3>Minimum Qualifications</h3>Experience in software development with a focus on backend or distributed systems

Experience in backend or systems-level languages, such as Go, Java, or Python

Experience in using version control systems, such as Git

Experience in operating within containerized and cloud-native environments

Experience debugging complex distributed workflows and service interactions

Experience of software quality methodologies, including code review, regression testing, and coverage analysis

Minimum requirement of BS + 3 years of relevant industry experience
<h3>Preferred Qualifications</h3>Experience working with Kubernetes and container orchestration in a production environment

Experience with event-driven architectures and messaging systems, such as Kafka, RabbitMQ, or NATS

Experience in DevOps and CI/CD methodologies, platforms, and tools, such as ArgoCD, Jenkins, or similar
Strong understanding of distributed systems concepts: service communication patterns, consistency trade-offs, and failure modes

Strong problem-solving abilities and an architectural mindset

Familiar with infrastructure-as-code tools, such as Terraform or Pulumi

Familiar with API design principles across REST and gRPC

Knowledgeable in microservices patterns, including service discovery, circuit breakers, and contract testing

Demonstrated ability to collaborate effectively in design discussions and contribute ideas that improve the team's technical direction