Sentry
Sentry
Sentry डेवलपरों और इंजीनियरिंग टीमों के लिए एप्लिकेशन मॉनिटरिंग और एरर-ट्रैकिंग टूल बनाता है। इसका प्लेटफ़ॉर्म एरर मॉनिटरिंग, ट्रेसिंग, सेशन रीप्ले, प्रोफाइलिंग, अपटाइम मॉनिटरिंग, लॉग्स और विभिन्न भाषाओं व फ्रेमवर्क के लिए सॉफ़्टवेयर डेवलपमेंट किट्स को एक साथ लाता है, जिससे टीमों को समस्याओं की जाँच करने और सॉफ़्टवेयर के प्रदर्शन में सुधार करने में मदद मिलती है। Sentry GitHub, Slack, Jira, Vercel और Netlify जैसे टूल्स से जुड़ता है और डेवलपर उत्पादकता, गोपनीयता नियंत्रणों तथा एंटरप्राइज़ सुरक्षा और अनुपालन पर ध्यान केंद्रित करता है। कंपनी SaaS, डेवलपर टूल्स और एंटरप्राइज़ टेक्नोलॉजी के क्षेत्र में काम करती है और 201–500 कर्मचारियों वाली टीम में नियुक्तियाँ करती है।

Staff Software Engineer, AI Developer Tooling at Sentry

Lead AI-assisted development at Sentry by building coding agents, developer APIs, and workflow automation. Improve engineering productivity through reliable agent workflows and AI-generated pull requests.

विवरण

  • Define priorities for AI-assisted development using engineer feedback and workflow data
  • Expose internal developer systems through APIs and create integrations that let agents complete engineering workflows
  • Develop context management and agent execution systems with tool access, permissions, checkpoints, retries, and logging
  • Create automated checks, evaluations, and feedback loops for AI-generated pull requests
  • Automate security dependency updates, minor fixes, and recurring maintenance tasks
  • Enhance engineering workflows, including issue triage and CI/CD processes
  • Drive cross-team technical changes, align stakeholders on priorities, and measure reductions in manual effort and delivery improvements
  • Own AI-assisted coding initiatives within Sentry’s Platform Engineering organization
  • Work with engineers across Sentry to assess agent outcomes, diagnose failures, and improve processes

आवश्यकताएँ

  • At least 10 years of software engineering experience, including direct ownership of production systems
  • Experience creating developer tools, infrastructure, or automation for engineering teams
  • Practical experience using AI coding tools and agents
  • Understanding of how context, tool access, and validation influence AI coding results
  • Strong foundations in software engineering and system design
  • Experience developing dependable integrations between systems
  • Demonstrated success leading cross-team technical initiatives from problem definition through implementation and adoption
  • Clear written and spoken communication skills, including presenting technical decisions and recommendations to senior engineering leaders
  • Experience with agent harnesses, context systems, evaluations, or automated pull request workflows
  • Experience with code review tools, static analysis, or automated testing
  • Experience measuring and improving developer experience or engineering productivity
  • Experience with large-scale distributed systems or decomposing monoliths
  • Public contributions to developer tooling or AI-assisted development projects
  • Authorization to work in the United States

लाभ

  • Annual performance bonus of up to 15% of base salary
  • Incentive compensation
  • Equity grants
  • Paid time off
  • Group health insurance coverage
  • Hybrid work arrangement with two remote-working days

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