IT Software Engineer

Medinext Global LLC
Chicago, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 166K

Job location

Chicago, United States of America

Tech stack

A/B testing
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Programming Tools
Github
Natural Language Processing
Search Technologies
Software Engineering
Google Cloud Platform
Information Technology
Low Latency
Software Version Control

Job description

o Define and implement a long-term technical roadmap for the search platform to ensure scalability and adaptability to growing data volumes and query complexity. o Mentor and guide a team of search engineers through technical reviews, enforcing best practices, and facilitating collaborative problem-solving. o Introduce cutting-edge capabilities such as NLP (Natural Language Processing), vector search, and personalization to enhance search relevance and accuracy. o Build search capabilities with measurable KPIs (e.g., Click-Through Rate (CTR), Query Distribution, and Zero Search rates). o Leverage analytics and data insights to continuously monitor and improve search performance. o Partner closely with Product Managers, Data Scientists, and other engineering teams to align all search initiatives with overarching business objectives and growth strategies.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field., * Master's degree in Computer Science or a related field., * 10+ years of total software engineering experience.
  • 7+ years of specific experience in search engineering.
  • 3+ years in a technical leadership role (mentoring, guiding, or leading teams).
  • Search Technologies: Strong expertise in modern search frameworks; must have strong product experience with Coveo OR Vertex AI Search (specifically Vertex AI Search for Commerce).
  • Cloud & Infrastructure: Deep knowledge of cloud platforms (AWS, Azure, Google Cloud). Must have experience building low-latency APIs in AWS using memory-storage solutions.
  • Development Tools: Advanced experience with version control (e.g., GitHub).
  • Methodologies: Familiarity with A/B testing frameworks and operating within an Agile / global team environment.
  • Working experience with heavy equipment engineering or data analysis.
  • Must demonstrate strong initiative, excellent interpersonal skills, and the ability to communicate effectively with cross-functional teams.

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