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DevRev

Integrates data engineering with GenAI solutions

Member of Technical Staff - Software Engineer, Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBuenos Aires, ArgentinaNo salary listedIn-person

About the Job

Requirements

  • You have 3+ years of professional software engineering experience delivering production web applications or SaaS products.
  • You have hands-on experience with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
  • You have strong programming experience in at least one backend language such as Go, Java, Python, or Node.js.
  • You have experience designing and developing APIs, backend services, and SDKs.
  • You understand relational and NoSQL databases, asynchronous processing, and the trade-offs involved in building scalable, reliable systems.
  • You have shipped user-facing features and care about usability, performance, reliability, security, and thoughtful interaction design.
  • You write clean, well-tested code and are comfortable with code review, debugging, and working through ambiguous product and technical problems.
  • You are comfortable working across a distributed, global team and have strong communication and collaboration skills.
  • You are comfortable designing and implementing in an AI-first organization.
  • You have a BS or MS in Computer Science or a related field, or equivalent practical experience.

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 that support reliable, multi-tenant SaaS capabilities.
  • Contribute to user-facing experiences and integrations where needed, partnering with front-end engineers to deliver cohesive product features.
  • 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 post-incident follow-ups, and use lessons learned to prevent repeat problems.
  • Collaborate across product, design, and engineering in a global team, communicate trade-offs clearly, and help ship customer value quickly.
  • 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 across services in line with resource tagging and telemetry standards.
  • Use AI-assisted development tools responsibly to accelerate learning, implementation, testing, and documentation.
  • Own features from concept through production by shaping requirements, designing APIs and data flows, implementing backend services, writing tests, and iterating from customer and engineering feedback.

Desired Qualifications

  • You have experience with multi-tenant SaaS systems, event-driven architecture, message buses or queues, and high-throughput distributed services.
  • You have experience with cloud-native development practices, including Docker, Kubernetes, continuous integration and continuous delivery, and production observability.
  • You have worked with AI/ML-powered product capabilities, including large language model applications, agentic workflows, search, or recommendation systems.
  • You have contributed to reusable component libraries, internal developer tooling, or open-source projects.
  • You have exposure to observability stacks including metrics, logs, traces, and OpenTelemetry.
  • You have solid working knowledge of infrastructure as code, ideally Terraform, and are comfortable with YAML, Helm charts, HCL, and Argo CD.

About the Company

DevRev

Integrates data engineering with GenAI solutions

DevRev.ai builds AI-powered data engineering tools to connect data from silos like support, product management, and software development. Its flagship GenAI platform integrates data engineering, knowledge graphs, and customizable language models to automate and streamline business operations. It serves a broad range of clients with tailored AI solutions, charging either one-time project fees or ongoing service subscriptions. The company differentiates itself by offering integrated AI that unifies disparate parts of a business rather than focusing on a single function. The goal is to help organizations improve efficiency and cross-team collaboration through tailored, data-driven AI.

Company size
501-1,000
Company stage
Series A
Total funding
$150.8M
Headquarters
Palo Alto, CA
Founded
2020

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