Lean Tech

Product Manager

• Lead the strategic direction and ongoing development of an internal digital product
• Define, communicate, and maintain the product vision, strategy, and roadmap
• Own and prioritize the product backlog to ensure clarity, readiness, and alignment with value-driven outcomes
• Translate business needs and user insights into clear, actionable user stories and acceptance criteria
• Lead agile ceremonies, including backlog refinement, sprint planning, and user story mapping
• Collaborate closely with engineering, design, and business stakeholders to deliver high-quality product increments
• Gather and incorporate user and stakeholder feedback to continuously improve the product
• Monitor product performance and usage trends to identify opportunities for improvement
• Ensure timely delivery while maintaining quality standards and alignment with requirements
• Remove blockers and proactively address risks impacting delivery and team productivity
• Contribute to a collaborative, high-performing product and delivery culture
• Provide guidance and support to other product team members as needed

Senior Product Owner

Backend Engineer

• Develop, implement, and maintain cutting-edge solutions
• Work with technologies such as Node.js, Express, Typescript, API integrations, DB Migrations scripts, and AWS Lambda
• Experience integrating freight brokerage systems with external partners via APIs and webhooks
• Support carrier onboarding, load tendering, shipment tracking, status updates, rate confirmations, and invoicing across multiple third-party platforms
• Collaborate with clients and cross-functional teams
• Enhance teamwork and problem-solving using strong soft skills.

Mid Backend Developer

IT Support

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Help Desk Analyst, L1

🕒 September 30, 2025

Stefanini LATAM

10,000+ employees

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Website
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Provide L1 IT support and system availability at Stefanini Latam. Manage incidents, deploy applications, monitor servers and databases.

🇨🇴 Colombia – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

💻 IT Support

🗣️🇪🇸 Spanish Required

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Mid IT Help Desk Technician

• Develop, enhance, and maintain backend applications using Python, primarily within AWS Lambda and EKS environments.
• Understand, analyze, and improve existing Python code to optimize performance and scalability.
• Work on data transformation and ETL logic, including manipulating and recoding data elements.
• Collaborate with cross-functional teams to support applications focused on data processing and analytics.
• Utilize AWS services like RDS (Postgres), Athena (serverless SQL), and OpenSearch for data management and transformation.
• Write clean, efficient, and well-documented code with a strong emphasis on unit testing and test-driven development.
• Work within a microservices architecture, ensuring efficient integration and communication between services.
• Participate in code reviews, troubleshooting, and debugging to maintain system reliability and performance.
• Contribute to the organization’s mission of improving customer internet reliability by supporting systems that enable technicians to resolve issues effectively.

Mid Level Backend Software Engineer, Python

Data Analyst

• Analyze customer payment behavior
• Identify billing and reconciliation issues
• Consolidate data across multiple systems
• Present insights that drive retention, cash recovery, and operational improvements
• Reconcile financial information across multiple billing and subscription systems, including Stripe, Zuora, Salesforce, payroll providers, lockbox sources, and internal policy systems.
• Identify payment failure trends and root causes (e.g., insufficient funds, do-not-honor codes, chargebacks)
• Provide insights to improve payment success and customer retention
• Create and maintain dashboards and reports with data visualization tools (e.g., Looker, Excel)
• Export and refine datasets in Excel or Google Sheets
• Ensure full QA of your reports before presenting results
• Troubleshoot data issues with inconsistencies and conciliating data from external sources
• Collaborate closely with billing, collections, Operational Excellence, and engineering teams

Mid Data Analyst, Billing

Artificial Intelligence

• Lead the end-to-end delivery of complex AI projects for US-based enterprise clients across the retail, manufacturing, logistics, media, and telecommunications industries.
• Assume complete ownership of project outcomes, meticulously managing scope, schedule, budget, and quality while overseeing the delivery unit's profit and loss (P&L) through effective cost optimization, budget estimation, and financial modeling.
• Implement and uphold delivery excellence best practices, managing the full Software Development Lifecycle (SDLC) utilizing Agile methodologies to ensure quality and operational efficiency.
• Collaborate with Client Success Leaders and Client Partners to proactively identify opportunities, manage client expectations, and ensure exceptional satisfaction by delivering on all business goals.
• Lead, mentor, and motivate the delivery unit's management team in collaboration with the HR Business Partner, fostering an environment of continuous growth by defining and implementing career development and succession plans.
• Maintain effective staffing levels within the delivery unit and ensure clear communication of corporate values, strategic goals, and company updates to all team members.
• Ensure constant communication with the customer and stakeholders (C1 level English required)
• Travel to client sites and company offices as required by business needs.

Senior AI Delivery Manager

Systems Engineer

• Responsible for the daily management and continuous improvement of the Oracle Fusion self-service procurement module
• Ensure the system remains clean, usable, and effective for all end-users
• Lead the adoption of the "No PO No Pay" policy across all users and stakeholders
• Serve as the subject matter expert, maintaining the Standard Operating Procedure (SOP) repository
• Write and update clear, concise process documentation for non-technical users
• Facilitate monthly virtual training and weekly office hours
• Build and run recurring reports in Oracle
• Perform data analysis on large datasets using Excel to identify trends
• Maintain Key Performance Indicators (KPIs)
• Manage small-scale system and process improvement initiatives

Junior Procurement Systems Analyst, Oracle Fusion

QA Automation Engineer

• Assist in the migration of HMI/SCADA applications from Iconics to Ignition Perspective.
• Develop and configure Ignition Perspective dashboards, graphics, alarms and messages ensuring mobile-friendly, intuitive operator interfaces.
• Translate existing Iconics functionality into Ignition while maintaining or improving usability and performance.
• Review PLC logic, primarily with Allen-Bradley systems to determine how best to display equipment values and states.
• Ensure seamless integration with field devices, databases, and third-party systems.
• Support commissioning, testing, and validation of the migrated system.
• Provide technical documentation and knowledge transfer as needed.

Mid Automation Engineer

Business Intelligence Analyst

• Analyze daily transportation and logistics data to measure performance against goals and provide recommendations for improvement.
• Identify gaps in data or reporting processes and propose thoughtful solutions.
• Develop and maintain logistics databases and ensure data integrity.
• Utilize financial, logistical, and procurement systems to support reporting, ad hoc analyses, and corrective action improvements.
• Deliver detailed analyses, KPIs, and metrics to department leadership and executive stakeholders.
• Support collaboration across functions and with internal/external stakeholders, including field teams.
• Assist with process and procedure updates, documentation, and continuous improvement initiatives.
• Write scripts to extract, clean, and manipulate large datasets in Python.
• Perform data analysis using Python libraries such as pandas and NumPy.
• Develop automated reporting pipelines.
• Create ad hoc analyses to support decision-making and process optimization.
• Optionally, create visualizations using Python libraries like Matplotlib or Seaborn.

Reporting Analyst

DevOps Engineer

• Design, implement, and maintain AWS infrastructure using Infrastructure as Code (Terraform) to support our multi-tenant SaaS platform across development, staging, and production environments.
• Manage and optimize containerized applications on AWS ECS and design Kubernetes deployment strategies, including Helm charts, operators, and GitOps workflows.
• Ensure efficient resource utilization and auto-scaling for JVM-based Spring Boot applications and Node.js services.
• Implement and maintain API gateway integrations (Azure, AWS, MuleSoft, Kong, Gravitee, Envoy) to support metering and monetization of AI/API traffic.
• Enhance and maintain CI/CD pipelines (CircleCI) to enable rapid, reliable deployments with zero downtime.
• Implement comprehensive monitoring, logging, and alerting using CloudWatch, OpenTelemetry, and other tools to ensure rapid incident detection and resolution.
• Optimize system performance across distributed architectures, including Apache Flink, Kafka streaming (MSK), and Redis caching layers.
• Implement and maintain security best practices, including network isolation, secret management, and runtime security scanning.
• Develop automation scripts and tools to streamline operational tasks, reduce manual effort, and improve overall team productivity.
• Collaborate with cross-functional teams to evolve distributed systems, API monetization frameworks, and platform architecture.

Senior DevOps Engineer

Data Engineer

• Design, develop, and manage robust dimensional models for master and reference data within the Databricks lakehouse, utilizing SQL notebooks and views to ensure data integrity.
• Build and optimize robust batch and streaming data pipelines to integrate data into the data lakehouse, ensuring reliable and efficient data flows for master data model consumption.
• Develop and manage the transport of master data from the Databricks lakehouse to the AWS RDS (PostgreSQL) data hub, building and extending REST API endpoints to ensure seamless data consumption by internal applications.
• Implement and enforce data quality standards through rigorous modeling discipline and governance processes, partnering with data stewards to research and resolve data exceptions.
• Conduct comprehensive source system analysis, data profiling, and data mapping to inform data modeling and integration strategies.
• Collaborate with cross-functional teams to develop an in-depth understanding of master data and align on data strategies, processes, policies, and controls.
• Share master data management best practices and provide training and recommendations to data stewards and other stakeholders across the organization.
• Create and maintain comprehensive documentation for master data flows, lineage, and standards to enhance organizational data literacy.

Mid Data Engineer

Full-stack Engineer

• Develop and maintain backend services using PHP 8.3, with a focus on modern, clean, and testable code.
• Work with the Symfony framework and manage dependencies using Composer libraries.
• Build and enhance features that integrate with external carrier validation services and internal tools.
• Interact with PostgreSQL databases efficiently and write optimized queries.
• Contribute to frontend development using Svelte (or Vue with a willingness to learn Svelte).
• Collaborate with team members during 2-week sprint cycles using Agile methodology.
• Deploy and manage services in a Digital Ocean cloud environment.

Junior to Mid Fullstack Engineer

• Architect, develop, and maintain high-performance middleware services and system integrations using Node.js and TypeScript
• Design and implement scalable RESTful APIs
• Lead the integration of complex enterprise data sources
• Drive architectural evolution by translating business requirements into scalable solutions
• Optimize, deploy, and manage applications in containerized environments using AWS ECS or Fargate
• Ensure system reliability and performance through comprehensive unit and integration testing

Senior Node Backend Engineer

QA Engineer

• Ensure the reliability, usability, and performance of our products
• Design and execute comprehensive tests
• Conduct pre-launch assessments
• Collaborate closely with development team to identify and resolve defects
• Maintain high-quality standards through the use of SQL and Datadog Continuous Testing
• Participate in Agile/SCRUM meetings
• Perform other related quality assurance duties as needed, ensuring adherence to best practices

Mid QA Engineer

Technical Writer

• Owning, structuring, and standardizing technical and operational documentation used across internal teams
• Reviewing, rewriting, and standardizing existing technical and operational documentation
• Creating and maintaining process documentation, SOPs, manuals, and internal guides
• Migrating and organizing documentation into Office 365 and related knowledge repositories
• Defining and enforcing documentation standards (structure, formatting, tone, verbosity)
• Ensuring documentation clarity for different internal audiences and levels of technical knowledge
• Supporting knowledge governance by organizing information so it can be easily discovered and reused
• Collaborating with business analysts and subject-matter experts to accurately document processes
• Improving documentation quality, readability, and consistency across teams and departments