Environmental Engineer Jobs in Argentina.
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Senior Designer/Lead Creator
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Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences.
As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.
THE ROLE
You'll be the visual storyteller behind design work that makes the brand unmistakable in crowded feeds. Working at the intersection of brand strategy and creative execution, you'll translate consumer insights, campaign briefs, and brand purpose into visuals that feel authentic, inclusive, and distinctive across every format and platform.
We're looking for someone who combines strong conceptual thinking with hands-on design craft, someone who can develop a big idea and then execute it beautifully across social, digital, and, where needed, OOH and POS touchpoints. You'll guide and mentor a team of designers and content creators, pushing the standard of social-first design while integrating Gen AI tools thoughtfully into the creative process.
Success means design work that captures attention, strengthens brand equity, and delivers measurable results. Work that people recognise as unmistakably the brand before they even see the logo.
WHAT YOU'LL DO
- Lead the visual direction for social-first content and campaigns, developing strong conceptual ideas that differentiate the brand and perform across platforms
- Design and produce social-first assets across TikTok, Instagram, YouTube, Pinterest, and emerging channels, ensuring every piece of content is platform-native, on-brand, and crafted to the highest standard
- Develop visual concepts that flex across multiple touchpoints, from social formats to digital display, CRM, OOH, and POS where required
- Champion conceptual thinking throughout the creative process, from briefing to execution, ensuring design solutions are rooted in insight and purpose rather than decoration
- Art direct photography, video, and content shoots, guiding the visual treatment, styling, and composition to reflect the brand world authentically and inclusively
- Build, mentor, and guide designers and content creators within the studio, fostering a culture of social-first excellence, collaborative feedback, and continuous improvement
- Collaborate with strategists, copywriters, social media managers, and the brand team to develop integrated campaign assets that are visually cohesive and strategically aligned
- Transform brand guidelines into distinctive, ownable executions that resonate with diverse audiences and feel relevant to the platforms and cultural context they appear in
- Pioneer the thoughtful integration of Gen AI tools into the design and content creation process, using them to enhance ideation, exploration, and production without compromising craft or authenticity
- Spearhead platform-specific design initiatives that leverage the unique strengths and visual language of each social channel
- Stay ahead of social platform algorithms, features, design trends, and audience behaviours to ensure visual output remains current and distinctive
- Manage multiple projects with varying timelines, formats, and platform requirements, maintaining quality and consistency under pressure
WHAT YOU BRING
- A portfolio demonstrating 6+ years of design experience, with strong examples of social-first design thinking and execution for consumer brands
- Deep understanding of social platform behaviours, content formats, and visual performance factors across TikTok, Instagram, YouTube, Pinterest, and emerging channels
- Strong conceptual ability, with a track record of developing big ideas that translate into compelling visual work across multiple touchpoints
- Visual storytelling skills, with the ability to communicate brand purpose, emotion, and product messaging through design that feels authentic and culturally relevant
- Expertise in Adobe Creative Suite (Photoshop, Illustrator, InDesign, After Effects) and Figma, with strong proficiency in producing assets at social speed
- Experience art directing photography, video, or content shoots, with an eye for composition, styling, and inclusive visual representation
- Proven ability to lead and mentor designers and content creators, providing clear direction, constructive feedback, and creative inspiration
- Experience creating native content and design systems for key social platforms, with an understanding of specs, safe zones, and format best practices
- A talent for presenting concepts to clients and stakeholders with clear rationale and conviction
- The ability to manage multiple projects simultaneously, balancing quality, speed, and competing priorities
- An understanding of inclusive design and visual representation, with experience or a strong interest in creating work that reflects diverse audiences authentically
- Professional proficiency in English; additional languages are a plus
Gen AI and Agentic Thinking
- Proficiency with Gen AI design tools (such as Midjourney, Adobe Firefly, DALL-E, Runway) and their strategic application in social content creation and visual development
- Agentic mindset: ability to break down complex creative challenges, identify the most effective visual approach, and execute systematically across multiple workstreams
- Experience integrating AI tools into design workflows to enhance ideation, mood boarding, visual exploration, and production efficiency without compromising craft or brand integrity
- Understanding of AI capabilities and limitations, with strong human oversight, quality control, and a critical eye for outputs that meet premium brand standards
- Ability to prompt engineer effectively and evaluate AI-generated visuals for brand fit, authenticity, and design quality
- Experience guiding team members in responsible and effective use of AI tools within the creative process
Qualifications: Formal degrees are welcome but not required. Equivalent experience counts. Experience can be gained through work, study, volunteering, or self-directed learning.
NICE TO HAVE
- Experience in beauty, personal care, wellness, or lifestyle design
- Experience in an in-house agency, embedded studio, or social-specialist creative team
- Motion design or animation skills (After Effects, Runway, or similar)
- Experience with design systems, template development, or scalable content frameworks
- An understanding of accessibility in design (colour contrast, type hierarchy, alt text, inclusive imagery)
- Experience with social commerce creative or performance-driven design
- Photography or illustration skills as a complement to design
#OLATAM #REQID17227
Our values shape everything we do:
Be Ambitious to succeed
Be Imaginative to push the boundaries of what’s possible
Be Inspirational to do groundbreaking work
Be always learning and listening to understand
Be Results-focused to exceed expectations
Be actively pro-inclusive and anti-racist across our community, clients and creations
OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.
OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.
Ready to apply?
Apply to OLIVER Agency
Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.
Senior Software Development Engineer in Testing
Job Description: We are looking for a Senior Software Development Engineer in Testing to join our team. The ideal candidate will have extensive experience in designing and implementing automated testing solutions. As an SDET, you are an expert in the field of test automation, using your expertise to advocate for best practices, coach other SDETs, and implement test frameworks from the ground up. Your experience and leadership will shape the foundation of the test automation framework.
Responsibilities:
- Implement test automation of architectural framework and integrated components.
- Write comprehensive testing suites for large scale, complex systems.
- Execute automated test cases and analyze results.
- Identify, document, and track software defects.
- Collaborate with development teams to ensure quality throughout the software development lifecycle.
- Stay updated with the latest industry trends and technologies.
- Own the test automation of complex projects or features for the full project lifecycle.
- Execute on complex test plans and collaborate with QA and development team for feedback.
- Write automated test coverage for complex security and performance problem areas.
- Create opportunities for self-improvement outside of normal testing scope.
- Guide and define CI/CD pipeline design and execution.
- Guide automation test strategy at all levels of application architecture.
- Interested in improving quality and accelerating delivery as a partner to engineering teams.
- Experience mentoring testers and developers to improve how teams test whether there are testers on the team or not.
- Experience implementing or working in a team that uses Continuous Delivery, TDD, Pair Programming
- 2+ years in a senior or lead role.
- Experience implementing BDD, TDD, Acceptance Test Driven Development a plus
- Good understanding of Holistic Testing, Agile Testing, Modern Testing, Continuous Delivery or similar model based around testing through the entire process and whole team ownership of testing and quality.
- Experience improving QA and Dev process end to end including agile practices and monitoring/logging in production.
- Skill in writing tests and test automation that is fast, reliable, maintainable, and supports the ability to make changes safely.
- Builds test code to the same standard as production code
- Believes that developers can test if they are given the tools, time, and taught the skills.
Requirements:
9+ years in the software development field in a a professional environment and/or comparable experience such as:Wide breath of engineering experience.Proven experience leading teams of engineers.Hands-on expertise with application design, software development, and automated testing.Experience with distributed (multi-tiered) systems, algorithms, and relational databases.Bachelor’s degree in computer science, computer science engineering, or related experience required; advanced degree preferred.Java: 4+ years.Automation 6+ yearsJavaScript: React preferred Database experience.
Desirable:
- Proven experience leading and mentoring quality assurance teams, including setting technical direction and driving execution across multiple initiatives.
- Deep understanding of authorizations domain and industry standards (e.g., OAuth2, OpenID Connect, SAML).
- Expertise in distributed systems with a focus on performance, scalability, and security.
- Experience in implementing authentication and authorization flows within enterprise-scale applications.
- Cloud experience
- FinTech, Banking domain knowledge.
- Familiarity with modern DevOps practices and CI/CD pipelines.
- Strong collaboration and communication skills, with experience engaging cross-functional teams including product, design, and infosec.
Tech Stack:
- Db2 (POA Postgres)
- SOAP (POA REST)
- REST via OneData powered by Vertex
- ETL via Ab Initio (POA Spark)
- Java
- gRPC
- Microservices
- On-prem/Cloud
Advanced English: Excellent verbal and written communication skills in English.
Location: Argentina or Mexico City
Ready to apply?
Apply to Santex
Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.
Job Description: Machine Learning Engineer
We are looking for an experienced and driven Machine Learning Engineer to join our Advanced Analytics team. You will play a pivotal role in advancing our machine learning capabilities, focusing on the building, training, deploying, scoring, and monitoring of models for various use cases, including personalized recommenders, forecasting, and LLM modeling.
Responsibilities
- Model Development & Deployment: Develop and deploy Machine Learning, Deep Learning, and GenAI models to enhance operational efficiency and customer experience.
- Continuous Improvement: Improve models by monitoring performance, conducting A/B testing, and implementing feedback loops.
- Architecture & Scalability: Architect and rebuild complex ML frameworks from the ground up, incorporating multi-threaded processing and distributed workloads to support scalable pipelines.
- Cross-functional Collaboration: Work with engineers and product managers to integrate AI solutions into production systems within a fast-paced Agile environment.
- Operational Excellence: Own production ML systems, participating in on-call rotations, troubleshooting incidents, and maintaining overall model reliability.
- Innovation: Stay updated with the latest advancements in AI to ensure our solutions remain cutting-edge.
Requirements
- Education: Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
- Experience: 3+ years of experience designing, building, and operating production-scale machine learning systems.
- Technical Mastery: Expert-level programming in Python with extensive experience using PySpark and distributed data platforms (e.g., Databricks) for large-scale datasets.
- Deep Learning & Frameworks: Strong experience with Scikit-Learn, MLlib, and PyTorch, including regression, time series, clustering, and deep learning.
- Distributed Systems: Deep understanding of Spark execution models, partitioning strategies, shuffle optimization, and vectorized processing (Pandas UDFs).
- Data & Cloud: Strong SQL expertise and experience deploying ML workloads to AWS (EC2, S3, DynamoDB, Lambda).
- Ops: Experience implementing MLOps / LLMOps practices.
Key Competencies
- Ownership: Ability to manage strategic initiatives in a rapidly evolving QSR environment.
- Adaptability: Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude.
- Outcome-Oriented: Focus on analyzing and visualizing data to drive continuous improvement across the business.
- Professionalism: Maintain transparency and professionalism in communication within the team and with stakeholders.
📍 Location
-
Flexible / Remote options available.
Ready to apply?
Apply to Santex
Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.
Job description:
We are seeking an AI Data Engineer to design, build, and scale the data foundations that power AI, advanced analytics, and natural language interfaces across a global Quick Service Restaurant (QSR) enterprise. This is a high-impact role at the intersection of data engineering and applied AI, where the pipelines you build become the building blocks for use cases like automated insight generation, conversational analytics, and intelligent decision support at restaurant scale. A core focus of this role is data ingestion from POS systems and back-office vendor platforms spanning labor, inventory, finance, and supply chain. You will ensure reliable, standardized, and scalable ingestion of high-volume, multi-source data into the enterprise data platform, transforming fragmented operational data into AI-ready assets. You will also play a critical role in connecting raw data to business meaning, supporting governed KPI definitions and AI-driven context engineering through a robust semantic layer that enables both human analysts and AI agents to query, reason over, and act on trusted data.
Key Responsibilities – Data Ingestion & Integration (POS & Back Office)
- Design and build ingestion pipelines for POS systems across global markets (transactions, orders, payments, speed of service)
- Integrate data from back-office vendor systems (labor scheduling, inventory, supply chain, finance)
- Handle diverse ingestion patterns (batch, streaming, APIs, file-based ingestion)
- Normalize and standardize data across vendors, regions, and brands
- Ensure data freshness, completeness, and consistency across all ingestion pipelines
- Manage vendor-specific schemas and evolving data contracts
Key Responsibilities – Data Platform & Pipeline Engineering
- Build scalable ELT/ETL pipelines using modern tools (DBT, Airflow, etc.)
- Support real-time and batch processing for operational and analytical use cases
- Optimize ingestion pipelines for performance, reliability, and cost
- Ensure high availability across global data workloads
Key Responsibilities – Semantic Layer Enablement
- Build data models supporting standardized KPIs (same-store sales, speed of service, traffic, labor productivity)
- Align ingested raw data with business-friendly semantic abstractions
- Support both governed (manual) and AI-driven semantic approaches
Key Responsibilities – Metadata & Context Engineering
- Capture metadata, lineage, and schema details from ingestion pipelines
- Enable AI systems using structured context (metadata, lineage, example queries)
- Ensure AI systems can reliably interpret POS and operational data
Key Responsibilities – Governance & Data Quality
- Implement validation and monitoring for ingestion pipelines
- Ensure data accuracy across POS and vendor systems
- Support governance for consistent metric definitions across regions
- Maintain versioning and schema evolution processes
Required Qualifications
- 5+ years of experience in data engineering
- Strong SQL and Python skills
- Experience building ingestion pipelines from APIs, streaming, and batch sources
- Experience with POS or operational data systems preferred
- Experience with cloud data platforms and modern data stack
Preferred Qualifications
- Familiarity with Agentic development tools such as Codex, Cursor or Claude Code
- Experience in QSR or retail environments
- Experience integrating vendor systems (labor, inventory, finance)
- Familiarity with semantic layers and metadata tools
- Experience enabling data for AI/LLM use cases
Success Metrics
- Reliability and latency of POS and back-office data ingestion
- Standardization across vendor data sources
- Reduction in data inconsistencies
- Improved downstream analytics and AI performance
Summary
This role ensures that high-quality, standardized data from POS and back-office systems flows into the enterprise platform—enabling trusted analytics, semantic consistency, and AI-driven insights at global scale.
Location: LATAM
Ready to apply?
Apply to Santex
Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.
Job Description:
We are seeking an AI Enablement Engineer to design and scale the semantic layer that turns raw restaurant data into a shared language for AI, analytics, and decision-making across a global Quick Service Restaurant (QSR) enterprise. This is a foundational role in our AI strategy: the semantic layer you build is what makes natural language analytics, automated reporting, and intelligent AI agents possible at enterprise scale. Your focus is bridging business meaning and data, ensuring that AI systems, analytics platforms, and end users consistently interpret critical metrics like same-store sales, speed of service, traffic, and labor productivity in a standardized, governed way. When an AI agent or a franchisee asks "how did my restaurant perform last week," the accuracy and trust of that answer starts with your work.
You will define and operationalize a hybrid semantic layer strategy that combines governed, metadata-driven models with AI-powered context engineering to enable scalable, accurate, and self-service insights across restaurants, corporate teams, and franchisees, unlocking the building blocks for conversational analytics and autonomous AI workflows.
Key Responsibilities – Semantic Layer Strategy & Architecture
- Define and implement an enterprise semantic layer that standardizes metric definitions and aligns business questions to data
- Establish canonical definitions for core KPIs (e.g., same-store sales, speed of service, traffic, labor productivity)
- Design mapping between business concepts and underlying data models across systems (POS, digital, supply chain, finance)
- Provide structured metadata to power AI systems, copilots, and analytics tools.
Key Responsibilities – Hybrid Semantic Model Implementation
- Build and maintain manual, metadata-driven semantic models for high-criticality domains (finance, core KPIs, franchise reporting)
- Enable AI-driven context engineering for exploratory analytics, operational insights, and ad-hoc queries
- Define how both approaches coexist in a unified architecture
Key Responsibilities – Tooling & Platform Enablement
- Implement semantic layer tooling (DBT, semantic views, YAML/Markdown metadata, data catalogs like Atlan)
- Enable downstream consumption by BI tools, APIs, and AI applications
- Create reusable abstractions and templates to scale globally
Key Responsibilities – AI & Context Engineering Integration
- Enable AI systems (LLMs, agents, copilots) to leverage semantic metadata
- Support context engineering using data lineage, metadata, example queries, and repository context
- Improve AI reliability by grounding outputs in governed definitions
Key Responsibilities – Governance & Data Quality
- Establish governance processes for metric definitions
- Ensure alignment across regions, brands, and franchise reporting
- Implement validation, versioning, and change management
- Define guardrails to prevent inaccurate analytics outputs
Key Responsibilities – Adoption & Enablement
- Partner with business and technical teams to drive adoption
- Educate stakeholders on standardized metrics and self-service analytics
- Provide documentation, playbooks, and training
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, or related field
- 5+ years of experience in data engineering, analytics engineering, or AI/ML systems
- Strong experience with semantic modeling or analytics engineering
- Proficiency in SQL and Python
- Experience with DBT and modern cloud data platforms
- Understanding of APIs and distributed systems
Preferred Qualifications
- Experience in QSR, retail, or franchise environments
- Experience with semantic/metrics layers
- Familiarity with data catalogs (e.g., Atlan)
- Experience with generative AI, LLMs, and context engineering
- Knowledge of data lineage and governance frameworks
Additional Expectations
- Design and maintain CI/CD pipelines, including automated builds, testing, and deployment of solutions
- Develop and execute functional and regression test suites to validate metric accuracy, data completeness, and semantic model behavior across environments
- Implement automated data and code quality checks and integration tests within the deployment pipeline to catch issues before they reach production
- Apply software engineering best practices including version control, code review, branching strategies, and environment promotion (dev/staging/prod) to all semantic layer and metadata assets
- Monitor platform performance, troubleshoot pipeline failures, and maintain observability across semantic layer infrastructure using logging, alerting, and health checks
- Define and manage infrastructure as code (e.g., Terraform, CloudFormation) for data platform resources, ensuring reproducible and auditable environment provisioning across development, staging, and production
- Implement and maintain role-based access controls, secrets management, and security policies across semantic layer tooling, data platform resources, and API integrations to ensure compliance with enterprise security standards
Key Skills & Competencies
- Systems thinking across data, analytics, and AI
- Ability to translate business metrics into data models
- Balance governance with scalability
- Strong stakeholder management
- Clear communication of complex concepts
Success Metrics
- Adoption of standardized metric definitions
- Reduction in reporting inconsistencies
- Improved accuracy of AI-generated insights
- Increased self-service analytics usage
- Faster time-to-insight
Reporting Structure
- Reports to: VP / Director of Data, AI, or Platform Engineering
- Works closely with: Data Engineering, Analytics, AI/ML, Finance, Operations, Franchise teams
Summary
The AI Enablement Engineer (Semantic Layer) establishes a shared language between business and data. By combining governed semantic models with AI-driven context understanding, this role enables scalable, accurate, and trusted analytics and AI across a global QSR enterprise.
Location: LATAM
Ready to apply?
Apply to Santex
Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.
Job Description:
We are looking for a Senior React Developer to join our team. The ideal candidate will be a seasoned software engineer with a strong focus on Frontend development, capable of designing and delivering complex systems while ensuring high standards of scalability and maintainability.
Responsibilities
- System Delivery: Design, implement, and deliver complex software systems with a focus on high-quality user interfaces.
- Strategic Collaboration: Collaborate with cross-functional teams to support technical roadmaps and align with business goals.
- Architectural Input: Understand and collaborate in architectural decisions to ensure system scalability, reliability, and maintainability.
- Code Quality: Conduct thorough code reviews, follow strict coding standards, and enforce industry best practices.
- Continuous Improvement: Stay abreast of industry trends and emerging technologies to drive innovation within the team.
- Stakeholder Management: Work closely with stakeholders to translate business requirements into robust technical solutions.
Requirements
- Experience: Proven experience as a Senior Software Engineer with a primary focus on Frontend development.
- Core Stack: Expertise in React.js and TypeScript (Must).
- Technical Foundations: Strong understanding of software architecture and design patterns.
- Soft Skills: Excellent problem-solving and communication skills.
- Time Zone: Ability to work within the 9 AM - 6 PM (EST/Miami) time frame.
- English: Advanced English proficiency is required.
Desirable
- Proficiency or familiarity with Go (Golang).
- Experience with cloud platforms, preferably AWS and Lambda Functions.
- Knowledge of microservices architecture and containerization technologies.
- Familiarity with mobile technologies (React Native).
- Contributions to open-source projects or technical publications.
📍 Location
-
Argentina.
Ready to apply?
Apply to Santex