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Job Description

Responsibilities :

- Ability to understand the complete Support App architecture to determine if an error originates from the core platform, a snap-in, or a customer's configuration.


- Help in resolving highly complex and escalated customer queries transferred by junior support engineers.


- Identify potentially problematic services, check for recent code commits, and perform a rollback if the root cause is confirmed.


- Device plans to continuously upskill junior support engineers.


- For issues in snap-ins or configurations, a deep understanding of how they work is required to check for recent changes. This includes reasoning about workflows, agents, customisations, analytics, and portals to identify misconfigurations.


- Basic knowledge of Kubernetes (k8s) and AWS infrastructure to debug and reason about infrastructure-level failures.


- Exposure to building LOG monitoring dashboards and alerts.


- Act as a champion in highlighting the repetitive pain points of customers and devise a solution to stop them from re-surfacing.


- Help in triaging and resolving critical BUGS, features, and custom requests reported by DevRev customers.


Requirements :

- Experience : 3-6 years.


- Master's degree in Computer Science or related field/equivalent practical experience.


- Excellent logical thinking and problem-solving mindset.


- The ability to expertly use observability tools by reading logs, analysing traces, and interpreting metrics to pinpoint issues.


- Proficiency in reading and understanding Golang, JavaScript (JS), and Python to trace issues through different parts of the codebase.


- Deep knowledge of the product's features and the underlying engineering architecture is essential for effective debugging.


- Skillfully using tools to inspect and debug API calls between the application and its various integrations.


- Methodically isolating problematic components, whether it's a microservice, a database query, or a third-party integration.


- Basic knowledge of Kubernetes (k8s) and AWS infrastructure


- Familiarity with Cursor or similar investigation tools for live or near-real-time monitoring.


- Comfortable with GitHub workflows, including branching, PR reviews, and GitHub best practices.


- Strong testing mindset, with experience in writing and executing test cases and verifying hotfixes in production-like environments.


- Experience in sprint management, stakeholder communication, and working cross-functionally with engineering and product teams.


Nice-to-Have :

- Prior experience supporting or working on Agentic AI systems, LLMs, or AI copilots.


- Familiarity with CI/CD workflows and build tools.


- Exposure to customer support systems and experience collaborating with different cross-functional teams.


- Ability to generate actionable insights from logs and telemetry data.


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