Software Engineer, Engineering Platform
Builds and improves engineering platform systems at Ramp, enhancing developer workflows, CI/CD, testing, reliability, and scalability for Python monolith and infrastructure to enable faster, safer development with AI agents.
About the job
What You'll Do
- Improve Ramp's development workflows across CI/CD, testing, local development, code review, deploys, and remote environments.
- Design paved paths for high-frequency engineering tasks, including service creation, migrations, reliable background jobs, and safe production changes.
- Help Ramp's codebase and infrastructure scale by improving modularity, performance, reliability, and maintainability across our Python monolith, internal libraries, and database systems.
- Identify repetitive or error-prone engineering workflows, then build automation that helps engineers and AI agents complete them faster, more consistently, and more safely.
- Turn recurring sources of friction or risk into reusable systems, workflows, and defaults that teams actually adopt.
What We're Looking For
- You think in systems across code, infrastructure, workflows, reliability, performance, and people.
- You have built and led improvements to systems that make other engineers more effective, including developer tooling, CI/CD, test infrastructure, service frameworks, or large-scale codebase architecture.
- You are comfortable with ambiguity and ownership. You can identify problems, align stakeholders, make tradeoffs, ship useful solutions, and iterate. You dive into whatever part of the tech stack or process is necessary to solve problems.
- You understand that speed and quality go hand in hand: the best platforms make safe, high-quality engineering feel faster, not slower.
Benefits (for U.S.-based full-time employees)
- 100% medical, dental & vision insurance coverage for you
- Partially covered for your dependents
- One Medical annual membership
- 401k (including employer match on contributions made while employed by Ramp)
- Flexible PTO
- Fertility HRA (up to $10,000 per year)
- Parental Leave
- Unlimited AI token usage
- Pet insurance
- Centralized home-office equipment ordering for all employees
- Health and Wellness stipend
- In-office perks: lunch, snacks, drinks, and more
- Budget for intra-office travel
- Relocation support to NYC or SF (as needed)
Skills
Python, CI/CD, Kubernetes, Docker, Git, Testing Frameworks, Database Systems, Developer Tooling, Service Frameworks, Monolith Architecture
Similar jobs
DevOps / SRE jobs
Firecrawl
San Francisco, CA
Build and operate the Kubernetes-based cloud and on-premises infrastructure powering large-scale crawling, search, and ML workloads. The role requires 5+ years in DevOps, platform engineering, or cloud infrastructure, with strong Kubernetes, cloud, Docker, Terraform, and distributed-systems experience.
Fireworks AI
San Mateo, CAOwns reliability standards, incident management, observability, failure testing, and automation for a high-throughput AI infrastructure platform. The role requires deep Linux, networking, software, cloud-native, and distributed-systems experience, along with the ability to influence teams across the organization.
Perplexity
San Francisco, CABuild and operate distributed infrastructure across compute, storage, networking, data, deployment, and reliability domains. The role requires 4+ years of backend or platform engineering experience, strong systems-language skills, and the ability to own complex production systems and lead cross-team technical initiatives.
OpenAI
San Francisco, CA
Build and operate scalable build systems, CI pipelines, and developer infrastructure for consumer-device software. The role requires 5+ years of engineering experience, expertise with Bazel or comparable build systems, and experience improving CI reliability and performance at scale.
OpenAI
San Francisco, CA
Designs, operates, and improves secure enterprise networks spanning offices, campuses, cloud environments, and connectivity services. The role combines architecture, production operations, troubleshooting, observability, security, and infrastructure automation.