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Develop robust backend integrations that ensure a seamless ML lifecycle experience.
Elevate standards for system observability, debug capabilities, and operational excellence.
Lead the design and architecture of a secure and standards-compliant ecosystem.
Establish performance metrics for platform health and outline a roadmap for scalability and efficiency.
Collaborate with cross-functional teams to gather requirements and ensure data quality across integrations.
Engage in all phases of projects: from requirements gathering and design to implementation, review, release, and monitoring.
Review and approve technical design documents and code submissions, refining documentation and development processes.
Innovate new technological solutions that challenge conventions.
Mentor team members and contribute to recruitment efforts for building technical talent.
Your Skills & Abilities (Required Qualifications) Demonstrated experience in building, deploying, and managing high-availability services.
Proven track record of leading significant technical projects from inception to ongoing enhancements.
Capability to identify broad technical challenges and convert them into actionable initiatives.
Expertise in creating enterprise and systems architecture along with integration standards.
Proficient in programming languages such as Python, Java, and Go.
Experience with cloud infrastructure, automation tools, and CI/CD solutions.
Skilled in developing production-level frontend applications using frameworks like React or Angular.
Strong understanding of JavaScript/TypeScript and core frontend technologies.
A genuine interest in technology and its potential to propel business advancement.
BS, MS, or PhD in Computer Science, Math, Physics, or equivalent experience.
What Will Give You a Competitive Edge (preferred qualifications): Experience with web services, JSON, GraphQL, and efficient workflows.
Proven ability to develop interactive tools that streamline operational tasks.
Knowledge of data science and visualization techniques.
Familiarity with machine learning principles or experimental design.
Self-motivated, focused on execution, and delivering impactful results.
Excellent communication skills to navigate conflicts, build consensus, and provide constructive feedback.
Compensation:
The compensation noted is a good faith estimate and may vary based on your location and other factors. The salary range for this position is $218,800-$335,300, with actual figures adjusted based on relevant factors.
Bonus Potential: You may qualify for performance-based incentive pay.
Benefits: Comprehensive package including medical, dental, vision, retirement savings, paid vacation, tuition assistance, and discounts on GM vehicles.
This position allows for remote work, though candidates within a certain distance from a GM hub may need to report to the office up to three times a week as directed by your manager. This role may qualify for relocation benefits. About GM Our vision promotes a world with Zero Crashes, Zero Emissions, and Zero Congestion. We are dedicated to leading change for a better, safer, and more equitable future. Why Join Us We value individuality and teamwork to empower meaningful change within our culture and community, fostering a sense of belonging in our cohesive General Motors team. Benefits Overview From day one, we prioritize your well-being, enabling you to reach your ambitions and career goals. General Motors is committed to equality in our hiring process and cultivating a workplace free from unlawful discrimination. We encourage interested candidates to review qualifications and apply for any positions aligned with their skills. Accommodations GM is dedicated to providing equal opportunities for all job seekers, including those with disabilities. If you require reasonable accommodation during the application process, please contact us with your request. As part of our diverse team, you will play a critical role in realizing our vision of Zero Crashes, Zero Emissions, and Zero Congestion. Join us in driving meaningful change through technology and innovation.
Sprachkenntnisse
- English
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