Software Engineer at ANICCA DATA SCIENCE SOLUTIONS LLC
Bellevue, WA 98008, USA -
Full Time


Start Date

Immediate

Expiry Date

11 Aug, 25

Salary

90000.0

Posted On

12 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Asp.Net, Kernel Debugging, C++, Scripting Languages, Python, Testing, Powershell

Industry

Information Technology/IT

Description

REQUIREMENTS:

  • Experience in C# & C++, ASP.net or similar language software.
  • Knowledge of Kernel Debugging, Networking, and Linux Network Booting.
  • Experience with scripting languages like PowerShell or Python.
  • Solid debugging, testing, and problem-solving skills.
  • Proficient in SQL/MySQL for database management.
  • Experience with developing large-scale distributed services.
  • Knowledge of PowerBI, Azure DevOps, Kusto, Cosmos DB, and CIS.
Responsibilities
  • Collaborates with appropriate stakeholders to determine user requirements for a scenario.
  • Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
  • Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
  • Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup’s project plans, release plans, and work items.
  • Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
  • Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
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