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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand and metro location balanced by seniority and niche AI/data stack requirements.
Core fullstack, data, and AI skills transfer well, but SAM product domain adds moderate specificity.
Explicit 8+ years and many mandatory technical and domain skills enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design and develop AI-native, full-stack software solutions for software asset management and AI cost management products.
Own the full lifecycle of code from design, implementation, test automation, to delivery, ensuring quality and performance alongside cross-functional partners.
Build scalable, reusable code and mentor peers to enhance engineering excellence and product capabilities across teams.
Minimum Requirements
8+ years of software engineering experience with a proven record of delivering high-quality products.
Proficiency in Python, Java, or similar object-oriented programming languages and experience with modern front-end frameworks (Angular, React, or Vue).
Experience with columnar/analytical data stores (e.g., ClickHouse, Snowflake, Redshift) and distributed data pipeline tools (e.g., Apache Spark, Kafka).
Work Experience Required: 8+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Expertise integrating AI into software development workflows and tooling, including validation of AI datasets and model inference consistency.
Hands-on experience architecting large-scale, data-driven software solutions with strong knowledge of software quality, reliability, and observability principles.
Operates effectively in cross-functional teams collaborating with product managers, architects, quality engineers, and mentoring peers for knowledge sharing.