Field Engineer

Welocalize, Inc; Argentina; A distancia; ARS 9.750.000 - 12.500.000; Jornada completa

Descripción de la vacante

A global localization solutions provider is seeking a Field Engineer in Argentina to bridge engineering and operations. The role involves designing scalable solutions using Python and JavaScript, optimizing integrations, and acting as a technical liaison. Ideal candidates have a background in engineering, strong problem-solving skills, and a collaborative mindset. Experience in client-facing roles and cloud platforms is preferred.

Formación

• 2+ years of engineering experience, ideally in a client-facing setting.
• Hands-on experience in ML lifecycle applications, data management, and data wrangling.
• Understanding of NLP concepts and techniques is advantageous.

Responsabilidades

• Act as a technical advisor and liaison between engineering, operations, and customer-facing teams.
• Design and build technical solutions, including internal tools, scripts, and automations.
• Troubleshoot and optimize platform integrations to ensure smooth data flows.

Conocimientos

Python

JavaScript

Problem-solving

Communication

Collaboration

Curiosity

Customer success mindset

Educación

Bachelor's degree in engineering or analytics-focused field

Herramientas

AWS

GCP

Azure

Descripción del empleo

Time left to apply: End Date: September 30, 2025 (30+ days left to apply)

Job requisition ID: R0006920

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Job Responsibilities:

The Field Engineer acts as the bridge between engineering, operations, commercial, and quality teams, leading the design and delivery of scalable technical solutions that make processes smarter, faster, and more efficient. The role requires ownership of initiatives from end to end, influencing cross-functional teams and supporting collaborators through technical guidance.

Responsibilities include developing automations and integrations using Python and JavaScript, improving data and workflow quality, and advising both technical and non-technical teams. The Field Engineer serves as a subject-matter expert in operational efficiency through technology and makes day-to-day technical decisions aligned with company strategy.

• Act as a technical advisor and liaison between engineering, operations, and customer-facing teams.
• Design and build technical solutions, including internal tools, scripts, and automations, using Python and JavaScript.
• Collaborate with both highly technical stakeholders and non-technical users to identify pain points and translate them into actionable engineering tasks.
• Troubleshoot and optimize platform integrations to ensure smooth data flows.
• Build scalable, self-serve solutions for common workflows to reduce manual overhead.
• Proactively identify issues, propose solutions, and independently lead high-visibility projects to implement them end to end.
• Contribute to data quality and consistency through programmatic checks and thoughtful system design.
• Share best practices and provide technical guidance and support to peers and cross-functional collaborators.

Additional Job Details:

• Technical experience in Python, JavaScript, or another relevant language for automations, integrations, and scripting.
• Strong problem-solving skills with the ability to plan and execute complex technical solutions.
• Excellent communication and collaboration skills, with the ability to work across multiple teams.
• Curious and self-driven, with a strong desire to learn and adapt to new technologies and challenges.
• Experience working with APIs, data pipelines, and automation frameworks.
• Customer success mindset, with a passion for helping internal teams and customers succeed.
• Ability to translate operational concepts into actionable solutions for both technical and non-technical stakeholders.
• Experience with cloud platforms (AWS, GCP, or Azure) and data processing tools is a plus.

• 2+ years of engineering experience, ideally in a client-facing setting.
• Curiosity and desire to learn.
• Bachelor's degree in an engineering or analytics-focused field (e.g., Computer Science, Engineering, Mathematics, Statistics) or equivalent work experience.
• Hands-on experience in ML lifecycle applications, data management, and data wrangling.
• Python experience; C# is a plus.
• Understanding of NLP concepts and techniques would be advantageous.
• Passion for AI and ML technologies, with a history of exploring new concepts and techniques.

About Us

Welocalize, Inc., founded in 1997, offers innovative translation and localization solutions helping global brands to grow and reach audiences around the world in more than 157 languages. Our solutions include global localization management, translation, supply chain management, people sourcing, language services, and automation tools including MT, testing, staffing solutions, and enterprise translation management technologies. With over 600 employees worldwide, Welocalize maintains offices in the United States, United Kingdom, Italy, Germany, Ireland, Romania, Japan, and China.