Position Description
Position Title - IT Software Engineer
Job Location - Chicago, IL, USA
Bill Rate Range - $75 to 80/ hr
Estimated Duration (In Months) - 13
Work Model - Hybrid
Must have Skills/Attributes - A/B testing, API, AWS, Data Analysis, GitHub
Shift - Monday thru Friday: 1st shift
Education Required
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
Education Preferred:
• Master’s degree in Computer Science or a related field.
Required Skills
• 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.
Disqualifiers (Red Flags):
• Current location missing from the resume (auto-disqualify).
• Choppy tenure or consistent job-hopping.
• Candidates open to relocating at their own expense must explicitly state that on the resume (but they will not be shortlisted initially for Work Director review unless absolutely exceptional).
Job Responsibilities
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.
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