About DevRev

At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

What you'll do

As a Member of the Technical Staff, in the role of a Software Engineer at DevRev, you'll build customer-facing product capabilities across the stack. You'll work closely with product managers, designers, and fellow engineers to understand customer problems, make thoughtful technical trade-offs, and deliver experiences that are useful, intuitive, and reliable.

You'll own features from concept through production: shaping requirements, designing APIs and data flows, implementing backend services, writing tests, and iterating from customer and engineering feedback. You'll contribute to a modern, AI-native SaaS platform that brings product, support, and growth teams together around the customer.

In this role you'll

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 high-quality, maintainable code; participate in code reviews; and improve testing, performance, accessibility, security, and observability.
Investigate production issues, participate in follow-the-sun on-call rotation as well as post-incident follow-ups, and use what you learn to prevent repeat problems.
Collaborate across product, design, and engineering in a global team, communicating trade-offs clearly and helping ship customer value quickly.
Build skills and automations that help our 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 our resource tagging and telemetry standards.
Use AI-assisted development tools responsibly to accelerate learning, implementation, testing, and documentation.

What you'll need

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 deeply 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 have strong communication and collaboration skills, and are comfortable working across a distributed, global team.
Comfortable designing and implementing in an AI-first organization.
You have a BS/MS in Computer Science or a related field, or equivalent practical experience.

Bonus points

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, CI/CD, and production observability.
You have worked with AI/ML-powered product capabilities, including LLM applications, agentic workflows, search, or recommendation systems.
You've contributed to reusable component libraries, internal developer tooling, or open-source projects.
You have exposure to observability stacks (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.
You thrive in a fast-paced, dynamic environment and enjoy taking ownership of project outcomes.

Why join DevRev

You'll build products that directly change how companies connect their customers, support teams, product teams, and developers. You'll work on a modern, AI-native platform with a global group of engineers, designers, and product leaders who care about craft, customer empathy, and shipping meaningful outcomes.

This is an opportunity to own work end-to-end, grow quickly through real product challenges, and help shape a platform used by teams building the next generation of SaaS companies.

How do we work?
Whatever your role, our values describe what we ask of each other.

Be a bridger
Look beyond your own role. Ask questions, share context and help others get unstuck. That may mean bringing the right people together or picking up a problem that doesn’t necessarily fit neatly into your job description.

Care loudly
We want your perspective, not just your agreement. Speak up when something isn’t working or someone needs support. Give honest feedback with respect for the person receiving it. Don’t let an uncomfortable conversation become an unspoken problem.

Own the outcome
Take responsibility for the result, not just your part in the process. Use AI to move the work forward, not to outsource your judgment. Make the call, check whether it worked and change course when it didn’t. If something goes wrong, own it and help fix it.

That’s DevRev!
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DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law._