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Senior Full Stack Software Engineer – AWS & AI

ClifyXSan Jose, CA🇺🇸United StatesPosted 28 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
San Jose, CA, United States
Posted
Yesterday
DynamoDBMongoDBOracleAPI GatewayAWSJavaJavaScriptKafkaPythonReact

Job Description

 

Job Title: Senior Full Stack Software Engineer – AWS & AI

Work Location: San Jose CA or RTP NC-Hybrid

Contract duration: Long term contract

Visa: / Only

 

Job Description:

Who You Are

You've made the shift from being an experienced, effective software engineer to being an AI-native one:

·             You have proven experience serving as a software engineer for web application projects, hosted On-Premise and Cloud, supporting a large customer base.

·             You treat performance as a design constraint, not a tuning pass after the fact.

·             You know when to build and when to reach for a managed AWS service — you can justify that trade-off based on the problem.

·             You think in systems and evaluate designs critically — whether reviewing AI-generated code or your own architecture — catching the subtle bug, security gap, or design choice that won't hold up under load or misuse.

·             You use spec-driven development with AI as your default way of engineering software.

·             You pick up new tools and approaches quickly, since the effective way to work with AI changes often, and you'd rather adapt early than fall behind.

·             You are decisive without being divisive — you can analytically weigh trade-offs, balance competing priorities, and drive decisions that span organizational boundaries.

·             You have excellent communication and organization skills.

 

Minimum Qualifications

             BS or MS degree in Computer Science, Computer Engineering, or a related technical field, or demonstrated equivalent experience.

             Demonstrated fluency in leveraging AI technologies across the entire software development lifecycle, including breaking down user stories into actionable tasks, AI-assisted coding and testing, automated defect resolution, and deployment of fully tested software.

             Deep, hands-on experience building and deploying production systems on AWS (e.g., EC2,Lambda, ECS/EKS, S3, RDS/DynamoDB, API Gateway), with a track record of real, customer-facing applications running in production.

             Server-side software development experience with Python, Java, NodeJS, and/or other similar technologies; client-side web application development experience using React, Backbone, native JavaScript, and/or other comparable technologies.

             Expertise in building secure, large-scale systems using fault-tolerant technologies (such as Elasticsearch, Cockroach DB, Oracle, MongoDB & Kafka)

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