Software Engineer - Incidents

at DevRev

Full Time

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.

About the Role:

We are seeking a Software Development Engineer with hands-on experience designing, building, and maintaining web applications, web services, and APIs. In this role, you will own the full development lifecycle of an internal incident management platform — from architecture and implementation through to deployment and ongoing maintenance. You will work closely with cross-functional teams including engineering, product, and operations to deliver a robust, scalable, and secure application. You should bring a strong foundation in software development best practices, distributed systems, observability, and modern AI-assisted development workflows.

What You'll Do:

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.

What You'll Bring:

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.

Nice-to-Have:

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.

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.

Location

Buenos Aires, Argentina

Engineer

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Job Posted:

6 days ago

Job Expires:

Job Type

Full Time

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