Dot Net Cloud Developer

Responsibilities:

• Design, develop cloud based applications using Microsoft Azure and other Cloud platforms.
• Design, develop web applications, desktop applications using Microsoft technologies (.NET, C#, Microsoft Azure, IoTHub, WCF, WPF, SQL Server, Elastic DB, Redis).
• Work closely with onsite, offshore and cross functional teams, Product Management, UI/UX developers, Web and Mobile developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery of Mobile Applications
• Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program

Requirements:

Education

• BE/ BTech degree in Computer Science or Electrical, Electronics with 5 to 8 plus years of software engineering and Mobile application development experience
• TECH/MCA/ MS degree in Computer Science or Electrical, Electronics with 4 to 6 plus years of software engineering experience

Required Technical Skills/Education:

• Excellent communication and leadership skills
• 3-5 years of Cloud software development experience under Agile development life cycle processes and tools
• Must have experience working with project management tools such as Jira, Rally, or TFS. 
• Must have experience with source control tools like TFVC and/or Git
• Strong understanding of cloud technologies including SaaS, PaaS, and IaaS
• Develop messaging solutions using service bus queues, topics, relays, and notification hubs; create service bus namespaces and choose a tier; scale service bus
• Develop apps that use WS-federation, OAuth, and SAML-P endpoints
• Hands-on experience Implementing Redis caching, Azure Cache Services
• Hands-on design and implementation of transient fault handling for services, respond to throttling, Application Request Routing (ARR) affinity
• Troubleshoot and resolve concurrency issues in database
• Design always on, availability groups, geographical fault tolerant highly available database solutions
• Good Hands on experience diagnosing performance bottlenecks, wait stats, SQL query monitoring, review and optimization strategies
• Thorough experience in cache and non-relational databases like Cosmos DB etc.
• Hands-on development using distributed logging frameworks like serilog and diagnostics/dashboards using application insights.
• Sound knowledge and hand-on experience using Application lifecycle management, DevOps, CI and CD using TFS and Team services
• Hands on experience designing cloud applications for resilience and availability.
• Create normalized and highly scalable logical and physical database design and switch between different database technologies like Oracle, SQL Server, Elastic databases to low end databases like SQLLite
• Measure latencies, query execution times and propose and drive database/query optimization techniques 
• Mobile first approach in designing applications and strong TDD fundamentals
• Thorough understanding of the Microsoft IOT suite including IOT Hubs, Event Hubs, Stream analytics, Machine learning, Notification Hubs etc.
•  Hands on porting experience in atleast one IOT stacks on the embedded devices and at least one wireless and wired sensor/telemetry devices integration with cloud.
• Thorough knowledge and hands-on developing ARM templates and PowerShell scripts.
• Good understanding of the IOS/Android App submission and integration needs and impact on the cloud development
• Assertive communication, leadership and team skills

Preferred Technical Skills/Education:

• Experience with Building Automation and/or HVAC domain
• Knowledge on capabilities of cloud platforms like AWS, Google App Engine, VM Cloud, Orange etc.
• Good understanding of the Linux, AIX, Windows Operating systems, evolution and differences. 
• Good understanding on Windows 7, Windows 8, 8.1 and 10 desktop apps, store apps etc.
• Experience in designing big data applications, interactive solutions, big data real time processing solutions, cognitive services, Data lake analytics, Hadoop/HDInsight, Machine learning and Microsoft analytics platform, machine learning and end to end cloud analytics
• Knowledge in data science
• Additional Comments