Customer Centric Engineer at Jobgether in Mexico, MX

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Customer Centric Engineer based in Mexico.

This role offers the opportunity to become a key technical partner for enterprise customers, helping them maximize the value of modern data and AI platforms. You will act as a bridge between customers, engineering, and product teams, solving complex technical challenges while improving the overall customer experience. The position combines software engineering expertise, data platform knowledge, and customer advocacy in a fast-paced technology environment. You will work on advanced troubleshooting, integrations, cloud technologies, and data infrastructure while influencing future product improvements. This is an ideal opportunity for a technically skilled professional who enjoys solving problems, communicating with customers, and driving meaningful outcomes. You will join a collaborative team focused on innovation, continuous learning, and building solutions that help organizations unlock the full potential of their data.

Accountabilities:

The Customer Centric Engineer will serve as a technical advisor for customers, providing advanced support, improving customer success, and collaborating with internal teams to enhance product capabilities. This role requires strong troubleshooting skills, customer empathy, and the ability to translate complex technical concepts into practical solutions.

- Provide advanced technical support to enterprise customers through multiple communication channels, including ticketing platforms, video meetings, and collaboration tools.
- Troubleshoot complex technical issues involving software configurations, integrations, networking, system architecture, and customer environments.
- Analyze logs, reproduce issues, debug code, and collaborate with engineering teams to identify effective solutions.
- Help customers successfully adopt and optimize platform capabilities while proactively identifying opportunities for improvement.
- Act as a trusted technical advisor by guiding customers on best practices and resolving operational challenges.
- Partner with Product, Engineering, and Customer Success teams to escalate issues, improve product functionality, and influence roadmap decisions.
- Monitor customer health indicators and advocate for customer needs internally.
- Create and maintain customer-facing documentation, including FAQs, troubleshooting guides, training resources, and knowledge base content.
- Continuously develop technical expertise through certifications, training, and self-directed learning.

Requirements:

    The ideal candidate is a technically experienced professional with a strong background in software engineering, data platforms, and customer-facing technical roles. They should combine engineering knowledge with excellent communication skills and a passion for helping customers succeed.
    - 5+ years of experience in software engineering, data engineering, or supporting complex enterprise software applications.
    - Strong programming experience with Python and familiarity with frontend technologies such as React, TypeScript, and JavaScript.
    - Experience working with modern data ecosystems, including data pipelines, ELT processes, and enterprise data platforms.
    - Proficiency with SQL and technologies such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker.
    - Understanding of cloud platforms including AWS, Azure, or GCP, along with modern infrastructure technologies such as Kubernetes, Docker, and container orchestration platforms.
    - Experience with UNIX systems, command-line tools, system administration, and navigating technical environments.
    - Ability to troubleshoot and debug software issues in complex enterprise settings.
    - Strong written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
    - Customer-focused mindset with strong collaboration skills and the ability to build trusted relationships.
    - Ability to thrive in a fast-moving startup environment with a proactive and adaptable approach.
    - Bachelor’s degree in Computer Science or equivalent practical experience.

Benefits:

        - Competitive compensation package aligned with skills, experience, and impact.
        - Equity ownership opportunity, allowing employees to share in company growth and success.
        - Fully remote work flexibility with support for different working environments.
        - Monthly coworking stipend to support flexible workspace options.
        - Comprehensive health coverage, including medical, dental, and vision benefits with employer contribution.
        - Flexible Spending Accounts (FSA) and Dependent Care FSA options.
        - Inclusive fertility and family-forming benefits.
        - Unlimited paid time off and flexible sick leave policies.
        - Opportunities for continuous learning, professional development, and career growth.
        - Opportunity to work on high-impact AI and data infrastructure challenges with enterprise-scale customers.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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