- Posted 7 hours ago
- Be among the first 10 applicants
Job Description
- Bachelor's or master's degree in computer science, Engineering, Information Systems, Data Engineering, or equivalent practical experience.
- 6+ years of relevant software engineering experience with search platforms, digital commerce platforms, content platforms, data integrations, or enterprise web applications.
- Hands-on experience with Coveo platform capabilities including sources, indexes, query pipelines, search APIs, usage analytics, permissions, machine learning models, and administration.
- Strong understanding of Coveo integrations with front-end experience layers, including headless/API-based search implementations, search boxes, result templates, facets, filters, analytics events, and user context.
- Experience with eCommerce search and merchandising concepts including product ranking, boost/bury rules, redirects, synonyms, recommendations, catalog search, product attributes, category pages, and conversion-focused tuning.
- Experience supporting content search across structured and unstructured sources such as documents, knowledge articles, application notes, community posts, blogs, wikis, media, product content, and entitled content.
- Ability to analyze Coveo usage analytics and Snowflake-connected analytics datasets to identify search quality issues, content gaps, poor performing queries, click behavior, and optimization opportunities.
- Experience configuring, evaluating, and improving Coveo AI/ML models such as Query Suggestions, Automatic Relevance Tuning, Dynamic Navigation, Semantic Encoder, Relevance Generative Answering, and recommendation models.
- Strong knowledge of data ingestion, indexing, metadata mapping, normalization, enrichment, permissions, incremental updates, delta processing, and content freshness patterns for search platforms.
- Experience with AWS-based ETL and data engineering patterns using services such as S3, Glue, Lambda, Step Functions, EventBridge, APIs, databases, and scheduled or event-driven pipelines.
- Programming skills in JavaScript/TypeScript, Python, Java, or similar languages used for search integrations, APIs, pipeline processing, automation, and data transformation.
- Solid understanding of SDLC, agile delivery, CI/CD, automated validation, observability, production support, and release management for enterprise digital platforms.
- Excellent problem-solving skills, analytical mindset, attention to detail, and ability to translate search analytics into technical and business improvements.
- Strong communication skills and a collaborative perspective across engineering, product, merchandising, content, analytics, and business stakeholders.
- Experience using generative AI and analytics-assisted approaches to improve search relevance, content discoverability, answer quality, and customer self-service outcomes.
More Info
Key Skills
About Company
Artech is the largest Women & Minority owned IT staffing firm in the US, with US$ 800 million annual revenue run rate in 2021 and a footprint across the globe. With nearly three decades of experience, Artech empowers businesses through applied human intelligence and offers a spectrum of services that include Workforce Solutions (Contingent Staffing, Bulk/ Project Staffing, Master Vendor, RPO, Direct Hire and Payroll Transition) and Project-Based Solutions (Digital Experience, Technical Operations, Technical Development, Business Operations & Digital Platforms). Artech works with over 90 Fortune 500 clients across USA, Canada, India, and China.
At Artech, we are empowering talent by connecting potential with opportunities through applied human intelligence. We empower our teams to maximize the impact of their intellect, through a performance oriented, diverse, flexible, and inclusive work environment supported by our continuous learning and development focus.