2 months ago
Buenos Aires, ArgentinaMid Level
Responsibilities
- 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 in partnership with front-end engineers.
- Write maintainable code, participate in code reviews, and improve testing, performance, accessibility, security, and observability.
- Investigate production issues, participate in a follow-the-sun on-call rotation, and complete post-incident follow-ups.
- Collaborate with product, design, and engineering teams to clarify trade-offs and deliver customer value.
- Build skills and automations that help infrastructure and application engineering teams implement, build, and deploy services faster and more reliably.
- Improve observability, alerting, and cost visibility in line with resource-tagging and telemetry standards.
- Use AI-assisted development tools responsibly for learning, implementation, testing, and documentation.
Requirements
- At least 3 years of professional software engineering experience delivering production web applications or SaaS products.
- Hands-on experience with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
- Strong programming experience in at least one backend language such as 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, reliable systems.
- Experience shipping user-facing features with attention to usability, performance, reliability, security, and interaction design.
- Ability to write clean, well-tested code and work with code review, debugging, and ambiguous technical problems.
- Strong communication and collaboration skills in a distributed, global team.
- Comfort designing and implementing in an AI-first organization.
- BS/MS in Computer Science or a related field, or equivalent practical experience.
- Experience with multi-tenant SaaS systems, event-driven architecture, message buses or queues, and high-throughput distributed services is a bonus.
- Experience with Docker, Kubernetes, CI/CD, production observability, AI/ML-powered product capabilities, reusable component libraries, developer tooling, or open-source projects is a bonus.
- Exposure to metrics, logs, traces, and OpenTelemetry is a bonus.
- Working knowledge of infrastructure as code, ideally Terraform, plus YAML, Helm charts, HCL, and Argo CD is a bonus.
Categories
About DevRev
DevRev builds Computer, an AI platform for enterprise search, employee service/help desk, and customer support that connects to a company’s existing tools and data. It sells cloud software and APIs to enterprises on a subscription basis, supporting use cases from knowledge retrieval to automated ticket resolution. Founded in 2020 and headquartered in Palo Alto, the company was started by former Nutanix leaders Dheeraj Pandey and Manoj Agarwal and remains privately held.