Responsibilities

Develop and maintain applications using Power Apps (Canvas & Model-driven).
Automate workflows and integrations using Power Automate, Azure services, SharePoint, and SAP.
Collaborate with business stakeholders to gather requirements and deliver user-friendly, scalable solutions.
Ensure compliance with Client’s data governance, security, and IT policies.
Provide technical support, documentation, and training for deployed solutions.
Participate in pipeline automation and deployment processes using Azure DevOps and CI/CD practices.
Apply Power Automate Desktop to streamline manual tasks such as file handling and system integration.
Support data standardization and integration across platforms like Data Lake or Synapse

• Required Technical Skills

  Strong hands-on expertise with:
  Experience with Dynamics 365 with at least 3 years of experience
  Power Apps (Canvas & Model-driven)
  Power Automate for workflow automation
  Dataverse for data storage and modeling
  Power BI for reporting and analytics
  Experience integrating with enterprise platforms such as SharePoint, SAP, and Azure services.
  Ability to gather business requirements and deliver user-friendly, scalable solutions.

  Preferred Qualifications
  Familiarity with Azure languages, configurations, and integration services.
  Exposure to Power Automate Desktop.

Data Engineer 

Required Technical Skills

• Proficiency in building out scalable and reliable ETL pipelines and processes to ingest data from variety of data sources including but not limited to SharePoint, REST API, Blob Storage.
• Proficiency in Azure PaaS offerings and data engineering target architecture, including but not limited to Azure SQL database, Azure Data Factory, Azure Synapse, Azure Databrick, Azure Functions, Data lake, Azure Log Analytics.
• Proficiency in large dataset transformation using Python
• Proficiency in relational databases and SQL, including but not limited to stored procedures, indexes, functions and triggers.
• Proficiency in Azure DevOps CI/CD and Git Repository.
• Deep understanding in data model design and relational database normalization
• Familiarity with Non SQL databases. E.g Cosmos DB

Software Engineer – Job Description

We are seeking a highly motivated and skilled Software Engineer to join our dynamic Software Engineering Chapter. As a Software Engineer, you will play a crucial role in supporting the development and maintenance of software solutions throughout their lifecycle.

Responsibilities:
Consistently deliver innovative solutions, driving them through design, planning, development, deployment and support, simplifying business processes and workflows to drive business value.
Develop software solutions leveraging established technology standards and collaborate with internal partners to develop new technology standards
Deliver results in collaboration with other software engineering and technical teams. Constructively and positively influence own and other teams/organizations direction
Work with technologies like: .Net, SQL, XML, Ansible, Mobile app stores

The Software Engineer will have an initial assignment in the DevOps / Mobility team in a team product line within the IT Foundation platform. Team is responsible for the maintenance and support of services and tools used by the enterprise pipeline. These tools are essential for enabling developer productivity and efficiency. These include Build Agents, Azure DevOps, Github Advanced Security for ADO (Ghazdo), Artifactory, StackOverflow, and SourceGraph, among others. It also includes management and support of mobile application stores such as Intune, Apperian, Google Play and Apple Stores.

Required Technical Skills in order of preference:

• Angular, TypeScript
• .NET, C#
• Azure SQL, TSQL
• Azure DevOps
• Azure CI/CD Pipeline
• Power BI Development
• Azure Synapse ETL

Data Analyst- JD
Responsibilities:

• Receive direction from the Product Owner for data analysis objectives and tasks (story level)
• Collaborating with data architects, data engineers, and business users to develop the desired Microsoft Power BI solutions 
• Collaborate and receive rules and requirements from business, functional, or application SMEs to inform analysis tasks. 
• Analyze datasets, entities, application and system of record data sources, define relationships and attributes, and determine source to target mapping requirements 
• Clean and validate data to ensure accuracy and quality prior to maturing the feature to build
• Define data engineering requirements for pipeline and data products build 
• Spike with other IT professionals to define interface requirements between applications or systems within the Client portfolio or externally with vendors’ apps
• Occasional collaboration with the Enterprise Data Architects and the Surface Platform Architects to develop and refine the Data Models as part of the Client Enterprise Data Model
• Initial QC and validation of produced data products before delivering to stakeholders

Required Technical Skills 

• Awareness of the upstream business domain and processes
• Strong data-level analytical skills
• Expert-level PowerBI skills, including developing data flows, semantic models (data sets), and visualizations
• Strong interpersonal skills working within a team
• Proficient interpersonal skills working external to the immediate team (i.e. system of record SMEs or admins, functional SMEs, vendor SMEs)
• Proficient SQL skills to build queries

Preferred Requirements

• Basic or awareness of data modeling and approaches
• Experience with cloud services such as ADLS gen 2, Databricks, Synapse, Azure SQL
• Basic or awareness of knowledge of the Client Enterprise Data Model
• ERP system experience (e.g. SAP S/4HANA, JDE)
• Product allocation experience (e.g. Energy Components)
• Awareness of Client standards such as WRO, FIRM and PSRI 
• “PL-300 (Microsoft Power BI Data Analyst) or DP-500 (Azure Enterprise Data Analyst) certification or plans to achieve in near future

Machine Learning Engineer III – Job Description

Summary

The Machine Learning Engineer is responsible for designing, developing, and optimizing machine learning models and systems. The role involves working with data science prototypes, selecting suitable algorithms, and ensuring high-quality model performance through testing and retraining.

Responsibilities

• Study and transform data science prototypes into production-ready solutions.

• Design end-to-end machine learning systems.

• Research, evaluate, and implement suitable ML algorithms and tools.

• Develop ML applications based on business and technical requirements.

• Select appropriate datasets and data representation methods.

• Run machine learning tests and experiments to validate model performance.

• Perform statistical analysis and fine-tuning based on test results.

• Train and retrain models as needed to ensure accuracy and relevance.

• Extend or enhance existing ML libraries and frameworks.

• Stay updated on advancements and trends in machine learning and AI.

Requirements

• Experience as a Machine Learning Engineer or in a similar role.

• Strong understanding of data structures, data modeling, and software architecture.

• Deep knowledge of mathematics, probability, statistics, and algorithms.

• Ability to write high-quality, robust code in Python, Java, and R.

• Familiarity with ML frameworks such as Keras or PyTorch, and libraries such as scikit-learn.

• Excellent communication skills and ability to collaborate effectively.

• Strong analytical and problem-solving capabilities.

• Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).

Cloud Engineer – Automation & Observability

Position Summary
We are looking for a collaborative and technically capable engineer to join Client’s
Automation and Observation team. This role supports our ongoing efforts to improve operational
visibility and streamline infrastructure through automation. The ideal candidate brings a strong
foundation in scripting, infrastructure as code, and observability practices, along with a
continuous improvement mindset.

Key Responsibilities
• Build and maintain automation pipelines using Azure DevOps and Infrastructure as Code
(IaC) tools.
• Develop configuration management solutions with Ansible and Terraform.
• Integrate observability platforms with ITSM tools (e.g., ServiceNow) to support
automated alerting and incident workflows.
• Contribute to the design and implementation of observability strategies across hybrid
environments.
• Support CI/CD pipeline development and maintenance for consistent and secure
deployments.
• Work with containerized applications using Docker and Kubernetes, including Helm chart
management.
• Implement and maintain monitoring, logging, and alerting solutions using tools like
Prometheus, Grafana, ELK, Azure Monitor, and Splunk.
• Manage virtualized infrastructure environments such as VMware vSphere and Hyper-V.
Core Technical Skills

Programming & Scripting
• Python – For scripting, automation, and API interactions.
• .NET (C#) – Valuable for application development and tooling.
• PowerShell/Bash – For system administration across Windows and Linux.

Automation & Configuration Management
• Ansible – Proficient in writing and managing playbooks, roles, and inventories.
• Terraform (or similar) – Experience provisioning infrastructure using IaC.

Cloud Platforms
• Microsoft Azure – Familiarity with core services, ARM templates, Azure CLI, and
DevOps practices.

Containerization & Orchestration
• Docker – Experience building and managing containers.
• Kubernetes – Hands-on with deployment, troubleshooting, and Helm.

Operating Systems
• Windows Server – Knowledge of Active Directory, PowerShell, and system services.
• Linux (RHEL, Ubuntu) – Comfortable with CLI, scripting, and system configuration.

Networking Fundamentals
• Understanding of TCP/IP, DNS, HTTP/S, firewalls, and routing.

Version Control
• Git – Proficient with collaborative workflows (e.g., pull requests, branching).
Observability & Monitoring
• Experience with tools like Prometheus, Grafana, ELK, Azure Monitor, or Splunk.
• Ability to configure dashboards, alerts, and perform root cause analysis.

CI/CD Pipelines
• Familiarity with Azure DevOps CI/CD

Virtualization
• Experience managing virtual machines and infrastructure using VMware vSphere,
Hyper-V, or similar platforms.

Full Stack Developer with experience building AI agents that interact autonomously with enterprise data and users. This role blends traditional full-stack development with cutting-edge AI orchestration, requiring hands-on experience with AI tools like Semantic Kernel, LangGraph, and Azure OpenAI.

Key Responsibilities

Develop and maintain full-stack applications using .NET Core, C#, and ASP.NET.Integrate AI agents using Semantic Kernel and LangGraph Orchestrate LLM workflows with Azure OpenAI, including embeddings, chat completions, and function calling.Implement vector search using FAISS, Azure Cognitive Search, or Cosmos DB.Design agent memory and reasoning flows using Microsoft Graph API and Cosmos DB.Collaborate with data scientists and architects to build scalable, intelligent systems.Build RESTful APIs and microservices to bridge Python-based orchestration tools with .NET applications.Ensure security, scalability, and performance of AI-integrated enterprise applications.

Required Skills & Experience

• 5+ years of experience in .NET development (C#, ASP.NET Core, Web API).
• Experience with Semantic Kernel and/or LangChain/LangGraph.
• Familiarity with FastAPI or similar frameworks for wrapping Python services.
• Hands-on experience with Azure OpenAI, LLM orchestration, and agentic workflows.
• Knowledge of vector databases (FAISS, Azure Search, Cosmos DB).
• Experience with Microsoft Graph API for enterprise data access.
• Strong understanding of MCP architecture, modular design, and event-driven systems.
• Comfortable working across both .NET and Python ecosystems.

Job Title: Backend Developer – Python, C#, AWS (Serverless), SQL
Location: Argentina

Overview:
We are seeking a results-oriented Backend Developer with hands-on experience in Python and C#, who is also proficient in building cloud-native applications using AWS Serverless technologies. The ideal candidate will have strong SQL skills and a passion for creating scalable, high-performance backend services.

Key Responsibilities:

• Design, develop, and maintain backend services using Python and C#

• Build and deploy cloud-native applications using AWS Serverless stack (Lambda, API Gateway, DynamoDB, S3, etc.)

• Write clean, efficient, and testable code, adhering to best practices and coding standards

• Work with relational and non-relational databases; write optimized SQL queries

• Collaborate with front-end developers, DevOps engineers, and product teams to deliver end-to-end solutions

• Monitor, troubleshoot, and improve system performance and reliability

• Participate in code reviews and contribute to team knowledge-sharing

Required Skills & Qualifications:

• 3+ years of professional experience in backend development

• Strong programming skills in both Python and C#

• Proven experience working with AWS Serverless architecture (Lambda, API Gateway, S3, DynamoDB, CloudFormation or SAM)

• Solid understanding of SQL and experience with databases such as PostgreSQL, MySQL, or SQL Server

• Experience with REST APIs and integration with third-party services

• Familiarity with CI/CD pipelines and version control tools (e.g., Git, GitLab, GitHub Actions)

• Strong problem-solving abilities and ability to work independently or as part of a team

Java Developer (SAP Commerce Cloud / Hybris)
Location: Argentina 

Role Overview
Design, develop, deploy, and support B2B/B2C customer portal solutions using SAP Hybris Commerce Cloud (CCV2) and Java.
Work within agile/DevOps teams, implementing CI/CD best practices (automated testing, infrastructure-as-code, documentation, etc.).
Enhance or re-platform existing applications, manage performance, security, and migration tasks.
Troubleshoot production issues, refine performance, and improve architecture/design.

✅ Required Qualifications

Solid experience with SAP Hybris (versions 1811–2105 or CCV2).
Strong Java backend development skills; plus proficiency in front-end technologies (JavaScript, Spring, Angular/React, JSP, HTML5, CSS).
Database expertise (SQL/Oracle), search (SOLR), Microsoft Azure integration.
Familiarity with SaaS, security/access control, concurrency, scalability, internationalization.
Excellent analytical, problem-solving, communication, and interpersonal skills.
SAP Certified Development Professional in Commerce Cloud preferred.

Preferred
Experience with Agile/DevOps environments.
Knowledge of Azure DevOps and API integration.
Previous SaaS/e-commerce experience.

Professional Competencies
Analytical thinking, business acumen, learning agility