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Principal Software Engineer Manager-Azure WAF

2.00 to 9.00 Years   Bangalore   20 Jun, 2022
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaEmbedded / System SoftwareGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Microsoft Azure is in the cloud race to win it! We are part of the Azure networking team responsible for designing, building and operating Azure Application (L7) Load Balancers (Application Gateway and Azure FrontDoor) that will help us differentiate from our fierce competitors and generate new revenue. We are looking for a Software engineering Manager who is passionate about developing Elastic-Load-Balancer-as-a-service at hyper-scale in Application Delivery space.We re looking for a Software Engineering Manager who is passionate about building products that power the next generation of services running on Azure. You will be responsible for building and operating Azure WAF product which used by thousands of customers world-wide. You will manage a team of talented software engineers.You would be working on critical new features which would help us differentiate us from our competitors. Some of examples of these features include API Security, Rate limiting, Analytics and Insights, and Adaptive WAF wherein you would lead team to build advanced machine learning algorithms that analyze traffic, learn what constitutes legitimate behavior and automatically block and malicious activity.Few links about the product:
    • What is Azure Web Application Firewall on Azure Application Gateway - Azure Web Application Firewall | Microsoft Docs
    • Azure Front Door - traffic acceleration | Microsoft Docs
    • Geo-filtering on a domain for Azure Front Door Service | Microsoft Docs
    • WAF on Azure Application Gateway bot protection overview - Azure Web Application Firewall | Microsoft Docs
    • WAF engine on Azure Application Gateway - Azure Web Application Firewall | Microsoft Docs
    You will also:
    • Bring clarity, create energy, and drive results you ll set a vision, rally the team behind it, and deliver for our customers.
    • Demonstrate the Microsoft manager attributes of model, coach and care with the engineers on your team, so they all learn, grow and succeed.
    • Plan and prioritize work for your team, including collaborating with partner organizations.
    • Create an inclusive environment that attracts and retains high-performing engineers.
    , Basic Qualifications:
    • 10+ years of Software Development experience building product quality software
    • 2+ year of people management experience.
    • Demonstrated success growing junior engineers through mentoring, collaboration and coaching
    • A minimum of a Bachelor s degree in Computer Science or Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience is required.
    • Strong experience in C#, C++, Golang, gRPC, Linux/Unix systems.
    • Strong skills in Distributed systems and building cloud services
    • Strong design and coding skills with the ability to pick up new languages, tools and design patterns as needed
    • Familiarity with Container platforms and technologies (Docker, Kubernetes etc.)
    Preferred Qualifications
    • Ability to work effectively both autonomously and in teams to effectively collaborate with cross-functional teams across geos.
    • Experience dealing with large customer base and partner integration.
    • Expertise in automation, monitoring, analytics, large scale fleet management
    • Passion for improving and streamlining the engineering process, tools, methodologies to develop and operate services at hyper-scale.
    • Familiarity with Application (HTTP, HTTPS), transport & security (TCP/UDP, TLS) protocols
    • Knowledge of L7 proxy (nginx, envoy, haproxy) is a plus
    • Contributions to open source software projects is a plus.

Keyskills :
javaagilejavascriptsqllinuxopen source softwareweb application firewallopen sourcedrive resultsweb applicationproduct qualitydesign patternscomputer sciencemachine learning

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