SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
DevRev is building Computer, an AI teammate that unifies data sources, tools, and workflows into a single AI-ready platform. The company, backed by Khosla Ventures and Mayfield with $150M+ raised, is trusted by global companies across industries.
As a Member of Technical Staff (Backend Software Engineer), you'll build customer-facing product capabilities across the stack, working closely with product managers, designers, and fellow engineers. You'll own features from concept through production: shaping requirements, designing APIs and data flows, implementing backend services, writing tests, and iterating based on customer and engineering feedback.
Key responsibilities include:
- Build end-to-end product features across responsive web interfaces, APIs, backend services, and data models
- Design, build, and evolve scalable backend APIs, services, and data flows for reliable, multi-tenant SaaS capabilities
- Contribute to user-facing experiences and integrations, partnering with front-end engineers
- Write high-quality, maintainable code; participate in code reviews; improve testing, performance, accessibility, security, and observability
- Investigate production issues, participate in on-call rotation, and prevent repeat problems
- Collaborate across product, design, and engineering in a global team
- Build skills and automations for infrastructure and application engineering teams
- Improve observability, alerting, and cost visibility across services
- Use AI-assisted development tools responsibly
Required qualifications:
- 3+ years of professional software engineering experience delivering production web applications or SaaS products
- Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure)
- Strong programming experience in at least one backend language (Go, Java, Python, or Node.js)
- Experience designing and developing APIs, backend services, and SDKs
- Understanding of relational and NoSQL databases, asynchronous processing, and scalable system trade-offs
- Shipped user-facing features with deep care for usability, performance, reliability, and security
- Clean code, testing, code review, and debugging skills
- Strong communication and collaboration skills for distributed teams
- Comfortable designing and implementing in an AI-first organization
- BS/MS in Computer Science or equivalent practical experience
Bonus: multi-tenant SaaS systems, event-driven architecture, cloud-native practices (Docker, Kubernetes, CI/CD), AI/ML product capabilities, component libraries, observability stacks, infrastructure as code (Terraform), and ownership mindset.
