Customer Centric Engineer

Jobgether SRL; Brasil; Teletrabalho; BRL 180 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote

Monthly coworking stipend

Health coverage

Equity opportunity

Unlimited PTO

Professional development

Career growth

Fertility benefits

FSA options

Flexible sick leave

Resumo da oferta

Jobgether SRL is seeking a Customer Centric Engineer based in Brazil to partner with enterprise customers and maximize value from data and AI platforms. You will bridge customers, engineering, and product teams, tackling complex technical challenges while enhancing the customer experience.

The role combines software/data platform expertise with customer advocacy in a fast-moving startup environment. Remote work is supported with a focus on proactive problem solving and continuous learning.

Qualificações

• 5+ years in software engineering, data engineering, or enterprise software support.
• Experience with modern data ecosystems, including data pipelines, ELT, and enterprise data platforms.
• Proficiency with SQL and Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker.
• Understanding of cloud platforms (AWS/Azure/GCP) and modern infra (Kubernetes, Docker).
• Experience with UNIX systems, CLIs, and production environments.
• Strong communication skills to explain complex concepts to technical and non-technical audiences.

Responsabilidades

• Provide advanced technical support to enterprise customers across channels.
• Troubleshoot complex issues involving software, integrations, and architecture.
• Analyze logs, reproduce issues, and collaborate with engineering for solutions.
• Help customers adopt and optimize platform capabilities and identify improvements.
• Act as trusted advisor guiding best practices and resolving operational challenges.
• Collaborate with Product/Engineering/CS to elevate issues and influence roadmap.
• Monitor customer health indicators and advocate for customer needs.
• Create and maintain customer-facing docs, guides, and knowledge base content.
• Continuously grow technical expertise through certifications and training.

Conhecimentos

Strong communication

Customer-focused

Team collaboration

Problem solving

Formação académica

Bachelor’s degree in Computer Science

Ferramentas

SQL

Snowflake

BigQuery

dbt

Airflow

Tableau

Looker

AWS

Azure

GCP

Kubernetes

Docker

UNIX

Descrição da oferta de emprego

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 Brazil.

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 elevate 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.
• 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.
• 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.

We appreciate your interest and wish you the best!

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.