IT Software Engineer
Indexed description
Location; Chicago, IL (locals preferred)
Duration: 12 months
Position type: W2 contract
Required Skills12+ 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.
Job Responsibilities
- Define and implement a long-term technical roadmap for the search platform to ensure scalability and adaptability to growing data volumes and query complexity.
- Mentor and guide a team of search engineers through technical reviews, enforcing best practices, and facilitating collaborative problem-solving.
- Introduce cutting-edge capabilities such as NLP (Natural Language Processing), vector search, and personalization to enhance search relevance and accuracy.
- Build search capabilities with measurable KPIs (e.g., Click-Through Rate (CTR), Query Distribution, and Zero Search rates).
- Leverage analytics and data insights to continuously monitor and improve search performance.
- Partner closely with Product Managers, Data Scientists, and other engineering teams to align all search initiatives with overarching business objectives and growth strategies.
Bachelor s degree in Computer Science, Information Technology, or a related field.
Education Preferred
Master s degree in Computer Science or a related field.
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