Software Engineer - Incidents

Buenos Aires, ArgentinaFull-TimeMid-levelSoftware Engineering

Skills

TypeScript REST CI/CD Datadog GitHub Integration testing Security Agile Problem solving Documentation Code review Ownership

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At DevRev, we’re building the future of work with Computer – your AI teammate.

Computer is not just another tool. It’s built on the belief that the future of work should be about genuine human connection and collaboration – not piling on more apps.Computer is the best kind of teammate: it amplifies your strengths, takes repetition and frustration out of your day, and gives you more time and energy to do your best work.
How?

Extensions for your teams and customersComputer doesn’t make you choose between new software and old. Its AI-native platform lets you extend existing tools with sophisticated apps and agents. So your teams – and your customers – can take action, seamlessly. These agents work alongside you: updating workflows, coordinating across teams, and syncing back to your systems.

This isn’t just software. Computer brings people back together, breaking down silos and ushering in the future of teamwork, through human-AI collaboration. Stop managing software. Stop wasting time. Start solving bigger problems, building better products, and making your customers happier.
We call this Team Intelligence. It’s why DevRev exists.
Trusted by global companies across multiple industries, DevRev is backed by Khosla Ventures and Mayfield, with $150M+ raised. We are 650+ people, across eight global offices.
Design, develop, and maintain the incident management platform, including a TypeScript-based frontend and Go-based backend services and APIs.
Own features end-to-end, from technical design and implementation through testing, deployment, and post-release maintenance.
Build and maintain RESTful and/or event-driven APIs, ensuring reliability, performance, and clear API contracts.
Instrument the application with observability tooling (logging, metrics, tracing) to ensure full visibility into system health and behavior in production.
Investigate and resolve bugs and performance issues using native logs, distributed tracing tools such as Datadog, and internal tooling.
Apply security best practices throughout the development lifecycle, including input validation, authentication, authorization, and secure handling of sensitive data.
Contribute to sprint planning, technical prioritization, and stakeholder updates, helping the team deliver iteratively and predictably.
Write clear technical documentation, architectural decision records, and runbooks to scale team knowledge and reduce operational overhead.
Advocate for continuous improvement of platform reliability, developer experience, and engineering processes based on operational insights and team feedback.
Highlight technical risks, system limitations, and dependencies early, ensuring all prerequisites are addressed before new development cycles begin.
Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
Strong logical thinking and a systematic approach to problem solving and system design.
Solid experience building and consuming APIs, including hands-on work with API specifications, payload validation, and integration testing tools such as Postman.
Proficiency in at least one statically typed or systems-level language, with comfort picking up new languages and frameworks as needed.
Experience with observability platforms such as Datadog, and a strong understanding of logging, metrics, and distributed tracing across multi-service systems.
Familiarity with security best practices for web applications and services, including common vulnerability patterns and how to mitigate them.
Comfortable with modern development workflows including GitHub, branching strategies, code review, and CI/CD pipelines.
Strong testing mindset, with experience writing unit, integration, and end-to-end tests and validating changes in production-like environments.
Experience working within agile delivery frameworks, including sprint management and cross-functional collaboration with engineering and product teams.
Experience with Go for backend development.
Prior experience building or working with Agentic AI systems, LLMs, or AI copilots, and familiarity with AI-assisted development tools such as Cursor or GitHub Copilot.
Experience designing and operating distributed systems at scale.
Exposure to incident management workflows, on-call practices, or internal developer tooling.
Ability to derive actionable insights from telemetry data and translate them into platform improvements.

Culture

The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth’s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers.
That is DevRev!