Posted on: 07/08/2025
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.
- 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.
- 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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Posted in
DevOps / SRE
Functional Area
IT Management / IT Support
Job Code
1526285
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