IT Integration Tester at Stable Auto

Troy, Michigan, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (Master's degree preferred)
2+ years of experience in IT integration development or testing
Familiarity with various integration methodologies, system architectures, and application programming
Capable technical knowledge of iPaaS platforms (e.g., Fuuz, Boomi, Celigo), APIs, JSON, JSONata, XML, batch file processing, integration orchestration & choreography, EDI
Working knowledge of C++ or Java (helpful but not required)
Ability to troubleshoot and provide rapid solutions
Effective communication with stakeholders to understand requirements and translate them into practical solutions
Ability to create thorough documentation for integration processes
Strong analytical and problem-solving skills
High level of attention to detail and accuracy
Ability to travel (up to 10%)
Ability to lift up to 35 pounds
Ability to stand, walk, and perform repetitive tasks for extended periods

Responsibilities

Design and execute test plans, developing and maintaining integration test plans and test cases
Perform automated and manual testing to validate integration points between different systems
Troubleshoot integration issues, identifying and resolving defects or inconsistencies in system interactions
Collaborate with cross-functional teams, working closely with engineers, project managers, and other stakeholders to understand system requirements and identify integration points
Create thorough documentation for test processes and report findings to the development team
Provide and implement ideas to continuously improve test processes and procedures
Develop and perform unit and system test cases
Document and report on defects
Drive open defects to final resolution

Skills

IT Integration Testing

Test Plans

Test Cases

Automated Testing

Manual Testing

Troubleshooting

Defect Reporting

System Integration

Test Methodology

Integration Designs

Stable Auto

Optimizes charging infrastructure for electric vehicle fleets

About Stable Auto

Stable Auto optimizes the charging infrastructure for electric vehicle (EV) fleets, catering to logistics companies, public transportation agencies, and corporate fleets transitioning to electric vehicles. The company provides advanced software and consulting services that utilize machine learning and operations research to help clients identify the best locations for charging stations, determine optimal charging times, and minimize both capital and operational expenditures. By simulating real-world fleet behaviors, Stable Auto delivers actionable insights that enhance performance and reduce costs. Their revenue model includes subscription fees for their software platform and consulting fees for tailored advisory services. The team consists of experts in machine learning, operations, and energy, enabling them to offer practical solutions that improve fleet management.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$18.4MTotal Funding

SERIES_ACompany Stage

Automotive & Transportation, Consulting, AI & Machine LearningIndustries

11-50Employees

Benefits

Flexible Work Hours

Remote Work Options

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Parental Leave

Risks

Increased competition from established players like Shell may limit market share.

Low utilization rates of EV chargers threaten the profitability of infrastructure investments.

Rapid growth in public fast charging sites may reduce demand for consulting services.

Differentiation

Stable Auto uses machine learning to optimize EV fleet charging infrastructure.

The company offers customized solutions tailored to each client's specific needs.

Stable Auto's team includes experts from top companies and academic institutions.

Upsides

Partnerships with companies like Blink Charging enhance Stable Auto's market presence.

The rise of vehicle-to-grid technology offers new revenue streams for fleet operators.

AI-driven predictive maintenance reduces downtime and maintenance costs for charging stations.

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