Senior Software Engineer - Hardware infra

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Are you interested in distributed systems, scalability, and durability? Are you ready to solve the challenges of Cloud-scale Storage? If so, the Azure Storage team is the perfect fit for you. We build Microsoft’s cloud storage solution -- Azure Storage -- a massively scalable, highly distributed, ubiquitously accessible storage system, designed to scale out and serve the entire world.

Azure Storage is growing its development team focused on providing the world's lowest cost cloud-based storage. Azure Archive Storage service provides secure, low-cost, and energy efficient storage capable of preserving Exabytes of data for decades with the right balance between software and hardware interaction. We are looking for software engineers interested in helping us fulfil our vision of providing a storage service capable of satisfying the worlds ever increasing demand for cloud-based storage for many years to come on the application team.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 4+ years of experience in tooling and automation at scale.
• 4+ years of development experience in object-oriented languages and troubleshooting.
• 2+ years of experience working on system/solution architecture and/or designing scalable, distributed services.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Computer Science
  • OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
  • OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 1+ years experience with large-scale storage, Datacenter Hardware infra, distributed systems, and cloud services and experience in software engineering practices, SDLC, algorithms, testing, debugging, and analytical skills.
• 1+ years of Kusto, Logic Apps, Python, Power BI, Watson, and Azure cloud.
• 1+ years experience in agile development practices and running scrum.

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• In this role, you will influence design, write new code, and gain experience building and delivering a cloud service with many new resiliency, recovery and scalability challenges.
• Works with appropriate stakeholders to determine user requirements for a feature.
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.
• Assists and learns about breaking down work items into tasks and provides estimation.
• Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.
• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.