Senior DevSecOps Engineer

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Define node labels and edge types that represent the relationships between designers, garments, style attributes, trends, occasions, and editorial articles.

• Create workflows to process structured JSON payloads and load them into the graph database in batch mode.

• Match extracted item mentions to the appropriate product nodes in a catalog containing over 50,000 SKUs by utilizing attribute-overlap scoring and match confidence thresholds.

• Remove duplicate items that appear inconsistently across various articles.

• Assign relationship weights based on editorial significance to establish recommendation priority.

• Design and optimize openCypher traversal queries, including multi-hop queries, ensuring relevant results are returned in under three seconds for Amazon Bedrock Agents.

• Collaborate with Machine Learning and GenAI Agent Developers to ensure the graph structure aligns with retrieval and recommendation requirements.

• Assist in conducting technical interviews and validating new members of the graph database workstream team as necessary.

⛳️ Requirements

• Proficient in English at an advanced level (C1 or higher), with the ability to communicate independently with international stakeholders.

• Strong experience with the property graph data model.

• Proven experience in writing and optimizing openCypher queries, including multi-hop traversals while adhering to latency constraints.

• Experience in designing graph schemas and evaluating the trade-offs between various modeling techniques.

• Background in developing entity resolution logic, which includes fuzzy matching, scoring algorithms, and deduplication across different data sources.

• Strong Python programming skills for data engineering, particularly in batch processing of structured data payloads.

• Capability to work autonomously in a fast-paced, staff augmentation environment with an established client team.

• Significant experience with Amazon Neptune.

• Previous involvement in fashion, retail, or e-commerce catalogs.

• AWS certification in databases or data analytics.

• Familiarity with integrating graph databases with generative AI agents, such as Amazon Bedrock Agents.

• Knowledge of recommendation systems or ranking and weighting logic for content surfacing.

🏝️ Benefits

• Premium Healthcare

• Meal voucher

• Maternity and Parental leaves

• Mobile services subsidy

• Sick pay and Life insurance

• CI&T University

• Colombian Holidays

• Paid Vacations

• Diverse, inclusive, and safe work environment