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• Bachelor's degree in computer science or related field or equivalent work experience
• 3-8 years of professional software engineering experience designing, building, and running cloud services at large scale in C# and .Net.
• Familiarity with distributed systems and event driven architectures.
• Deep understanding on security aspects of software like authentication, authorization, encryption, etc.
• Excellent coding skills, strong in OOPS, OOAD, design patterns and their application
• Ability to both work independently and coordinate across geographies.
• Ability to communicate complex ideas and concepts to a variety of cross-group stakeholders.
• Strong organization skills, a bias for action, and ability to deliver results.
• Proven ability to deal with ambiguity and drive for clarity.
• Demonstrated ability to work efficiently, prioritize workflow, ramp quickly, and meet demanding deadlines.
Preferred Qualifications:
• Proficient working knowledge of cloud-computing environments like Microsoft Azure, AWS, GCP - Azure preferred.
• Experience with web service development and familiar with related technologies.
• Familiar in machine learning, deep learning, AI, and data science
• Familiar with modern security models like OAuth and token-based authentication and authorization.
• Experience building and shipping production grade software or services.
• Experience using agile methodologies or test-driven development (TDD).
• Design and implement microservices to enable real time, highly scalable, performant, and sustainable solutions. • Deliver automated and well-tested features across different services and platforms. • Use engineering best practices throughout the software development lifecycle to establish maintainable, reliable, and secure systems. • Manipulate, collate, and analyse complex, high dimensional data from varying sources to solve difficult problems. • Collaborate with teammates in various roles to plan and execute on key deliverables. • Work in a culture of continuous improvement, adaptation, reflection, and growth • Learn quickly from your peers, projects, and interactions with customers. • Provide on call support and monitor the health of services in production as part of DevOps |
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