2796 Mobile Platform Architect jobs in Chicago,IL

Mobile Apps Test Automation Engineer

Synchrony Financial

Chicago, IL 60695

At least 6 years of experience in software testing, with at least 4+ years in mobile test automation
Expertise in Appium and Cucumber, with hands-on experience building automation frameworks from scratch
Experience with the ALM Octane framework
Strong understanding of mobile device architecture and hands-on experience with physical device testing
Excellent problem-solving skills, with a solid grasp of debugging and root cause analysis in mobile test environments
Ability and flexibility to travel for business as required
You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations)

CultureFit

Chicago, IL 60290

Aramco

Chicago, IL 60290

Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role.
Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds.
Cloud Infrastructure: Expert-level experience with at least one major cloud provider (AWS, Azure, or GCP) and their native data services.
Containerization: Experience with Docker and Kubernetes for deploying data services.
Data Processing: Strong proficiency in batch and stream processing.
Programming: Advanced coding skills in Python, or Java, along with expert-level SQL.
Database Systems: Extensive experience managing and querying various systems: Relational: PostgreSQL, MySQL, SQL Server, NoSQL/NewSQL: MongoDB, Cassandra, Warehousing/Lakehouses: Snowflake, Databricks, BigQuery.
Enterprise Architecture: Knowledge of enterprise architecture principles, including business architecture, information architecture, and technology architecture.