Job Summary
As a Senior Software Engineer in the DPU Integrations and Operational Excellence team, you will be involved in designing, building, testing and deploying the automation tools and agents needed for control and data plane software that runs on DPU’s custom-built silicon in a variety of new platforms targeted at Azure compute and networking use-cases. This would entail building a deep understanding of the DPU architecture and the systems built using the DPU, understanding the end-to-end customer workflows, and building debugging skills required to troubleshoot field issues. You will be responsible for managing the field incidents, maintaining dashboards for active/dormant cases, tracking software/firmware releases, and the fixes being carried in each, and collaborating cross-functionally in the pursuit of case resolution. This is an opportunity to build, test, and support innovative products that will be deployed on a planet scale.
Key Responsibilities
Responsibilities
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Design, build, test and deploy innovative integration and diagnostics tools, and AI agents to release quality products and reduce time to mitigate production issues.
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Provides technical leadership to teams to identify the scope of testing to create a quality plan for DPU based compute products. In partnership with key stakeholders creates and manages project schedules.
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Leads the team by providing technical expertise and oversight, monitors test plan execution and quality to ensure that testing is efficient and executed according to plans.
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Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions,
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Alerting stakeholders about status and initiating actions to restore system/product/service for simple and complex problems when appropriate.
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Guide and help debug field issues. Collaborate cross-functionally and drive debug sessions to arrive at root cause.
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Maintain dashboards of live/dormant cases and KPIs.
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Feedback learnings from field issues back into the engineering dev/test process.
Skill Requirements
Preferred Qualifications
- 6+ Years of previous experience in developing, testing, diagnosing and troubleshooting networking, storage or compute cloud platforms as a lead engineer owning releases and mentoring/guiding a team of engineers.
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Experience with Azure or similar large scale cloud computing infrastructure, control plane, telemetry, monitoring, diagnostics, reporting
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Experience developing and/or testing embedded software for NICs and/or DPUs/IPUs.
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Understanding and hands on experience with networking (TCP/IP, RoceV2, routing/switching), Software Defined Networking, and server platform firmware (BMC, BIOS etc) testing.
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Experience with complex debug/troubleshooting in both lab and live site situations.
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Experience with dealing with large-scale data analysis to identify themes and root causes of issues
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Experience with AI agents to do live site tool automation and analysis