Software Engineering

Responsibilities

• Write well designed code with an emphasis on quality, maintainability, scalability, and performance.
• Solid understanding of Design and implement 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.
• Collaborate with teammates in various roles to plan and execute on key deliverables.
• Work in a culture of continuous improvement, adaptation, reflection, and growth.
• Execute the Dev-Sec-Ops approach to software delivery by designing, coding, testing, deploying and operating components of Microsoft 365 security monitoring system.
• Own Big Data Pipelines, their reliability and availability
• Maintain 99% uptime and reduce engineering toil.
• Manage data pipelines for telemetry ingestion – includes Building and maintaining CI/CD pipelines for deployment and monitoring.
• Ensure SDL and governance compliance.
• Enable real-time analytics using Big Data, CI-CD-CM, Observability improvements and security monitoring.
  

Qualifications

• 4+ years of professional software engineering experience designing, building, and running cloud services at large scale in C#, .Net or any high-level programming language.
• Excellent coding skills, strong understanding in OOPS, design patterns and their application.
• Outstanding ability to communicate complex ideas and concepts to a variety of cross-group stakeholders.
• Hands on experience in an object-oriented programming language such as C#, Java, or Scala.
• Strong organization skills, a bias for action, and ability to deliver results.
• Proven ability to deal with ambiguity and drive for clarity.
• Excellent ability to work efficiently, prioritize workflow, ramp quickly, and meet demanding deadlines.
• Outstanding communication skills and collaboration capabilities.
• Able to deep dive in complex areas and self-drive.
  

Preferred Qualifications

• Proficient working knowledge of cloud-computing environments like Microsoft Azure, AWS, GCP - Azure preferred.
• Strong background in Data Engineering and Integration for Big Data Pipelines.
• Experience with modern software services engineering practices such as testing in production, live monitoring, data driven engineering.
• Rapid prototyping and iteration skills the next line.
• Experience with web service development and familiar with related technologies.
• Basic automation scripting skills with PowerShell and developing modules.
• Experience building and shipping production grade software or services.
• Experience using agile methodologies or test-driven development (TDD)