QA Engineer #2583-Networks – Location: remote; LATAM (EC, BR, MX & CO) OR US

/in /by
QA Engineer #2583

Position Summary:
Our partner, a fast-growing PaaS company specializing in remote monitoring and network management solutions, is looking to add an IT Engineer – QA Analyst with a focus on Networks to their team. This role plays a key part in ensuring the quality, reliability, and accuracy of network device monitoring solutions. You will collaborate closely with development, product, and network engineering teams to maintain and enhance system quality, particularly in testing network protocols, analyzing network traffic, and ensuring consistent data processing from devices like routers and switches.

Experience and Education:

  • Bachelor’s or higher degree in Computer Science, Information Systems, Information Technology, or a related technical field/experience.
  • 5+ years of experience in Systems Administration, QA Engineering, or related positions.
  • Strong understanding of network protocols, network device management, and remote monitoring systems.
  • Experience with computer networks and network equipment setup and management.
  • Expertise in systems testing, network monitoring, and network protocol validation.

Skills and Strengths:

  • Systems testing
  • Network monitoring testing
  • Network protocols (e.g., TCP/IP, SNMP, TCP, UDP, ICMP, DNS)
  • Network hardware testing (e.g., firewalls, switches, routers, virtual routers)
  • Network monitoring systems (NMS)
  • Network configuration
  • Network troubleshooting
  • Scripting languages (e.g., PowerShell, Shell, Bash)
  • Operating Systems (e.g., Windows, Linux, MacOS)
  • Virtualization tools (e.g., VMWare, VirtualBox)
  • GIT
  • Jira
  • Test documentation
  • Configuration files

Primary Job Responsibilities:

  • Design, develop, and execute manual test cases for network hardware and protocols to ensure high-quality standards.
  • Perform testing of network protocols using scripting languages such as PowerShell, Shell, or Bash, identifying possible defects, and ensuring corrective measures.
  • Configure and manage various network equipment, ensuring proper setup, performance, and troubleshooting of network devices.
  • Validate network configurations, including firewalls, switches, routers, and virtual routers, to ensure proper implementation.
  • Implement security protocols, firewall configurations, and regular system updates to ensure network security.
  • Diagnose and resolve hardware, software, and network issues promptly.
  • Provide technical support to end-users, resolving issues related to network and system access.
  • Maintain thorough documentation on test cases, network configurations, and system performance. Relay detailed feedback on system issues to development teams, ensuring quick resolution and continual product improvement.
  • Manage backup operations and disaster recovery plans to protect data and ensure business continuity.
  • Collaborate effectively with cross-functional teams, including developers, product managers, and business analysts, to ensure alignment on testing objectives and priorities.
  • Stay up to date with industry trends and best practices.

Company Details:
Ranger Technical Resources is an information technology firm based in Ft. Lauderdale that has been providing IT solutions to South Florida customers since 1996.  We are a unique firm in that we have 2 groups that support both our client’s needs for individual IT professionals (contract or direct hire) and technology implementation services.
Job Type: Perm || Full-time
Education: Bachelor’s or higher degree in Computer Science, Information Systems, Information Technology, or a related technical field/experience.
Experience: 5+ years
Email: recruitingcoordinator@rangertech.com
Phone: 954-527-0090
Job Reference #: 2583
Location: LATAM (EC, BR, MX & CO)
Job Model: Remote
Company: www.rangertech.com

  • Accepted file types: doc, docx, txt, text, pdf, rtf, html, Max. file size: 2 GB.

Senior QA Engineer (SDET) #2582 – Location: remote; LATAM (EC, CO, MX, BR)

/in /by
Senior QA Engineer (SDET) #2582
Position Summary:
Our partner is a rapidly growing SaaS company delivering intuitive remote monitoring and endpoint management solutions for IT teams. They are seeking a talented Senior SDET Engineer to help shape the quality foundation of their platform. This role focuses on building the automated test frameworks, developer-facing tools, and service-level validation systems that ensure reliability across a complex microservices environment. You’ll collaborate closely with engineering teams, develop a deep understanding of how services operate, and design automation that integrates seamlessly into the development lifecycle. It’s a highly technical role where your work directly influences delivery speed, system stability, and developer productivity.
Experience and Education:

  • BS in Computer Science, Computer Engineering, Information Technology or equivalent experience/field
  • Background as a software engineer building backend, full stack, or platform-level systems
  • Experience developing applications or internal tools using Java, JavaScript, or both
  • Prior work with Spring Boot, service development, API design, or microservices
  • Experience in cloud-native environments such as Kubernetes, AWS, or Google Cloud
  • Exposure to automated testing frameworks, test harnesses, or CI/CD automation

Skills and Strengths:

  • Java
  • Spring Boot
  • JavaScript
  • Automated test framework development
  • JVM performance tuning and debugging
  • Performance and load testing
  • Concurrency and multithreading
  • API contract testing such as OpenAPI, Pact or others
  • Microservices testing
  • Kubernetes
  • CI/CD systems design
  • Service virtualization and mocking frameworks
  • Code-level test automation
  • Fault injection and chaos testing
  • Observability tooling such as logs, metrics, traces
  • Git-based development workflow
  • Root cause analysis in distributed systems
  • Distributed systems fundamentals
  • Data-level testing
  • Service reliability patterns

Primary Job Responsibilities:

  • Design and develop automated test frameworks, libraries, and internal tools that support engineering workflows.
  • Build code-level automated tests that validate APIs, microservices, distributed components, and backend logic.
  • Implement performance testing strategies to identify bottlenecks and improve service responsiveness.
  • Apply concurrency-aware testing techniques for validating thread-sensitive backend behavior.
  • Create and maintain API contract tests to ensure backward compatibility and stable service integrations.
  • Develop microservices-focused tests that validate service boundaries, state transitions, and integration flows.
  • Engineer Kubernetes-compatible test components that run reliably in cloud-native environments.
  • Architect CI/CD-integrated test pipelines that enforce automated quality gates and early regression detection.
  • Use service virtualization and mocking frameworks to isolate dependencies during automated testing.
  • Introduce and execute fault injection and chaos testing to validate resilience and failure recovery.
  • Integrate observability signals (logs, metrics, traces) into testing and debugging processes.
  • Perform root cause analysis on distributed system failures and drive long-term reliability improvements.
  • Apply distributed systems fundamentals when designing test strategies for consistency, replication, and state behavior.
  • Validate system behavior at the data layer through data-level testing of persistence, transactions, and transformations.
  • Collaborate with backend and platform teams to influence API design, architectural decisions, and overall service testability.
  • Accepted file types: doc, docx, txt, text, pdf, rtf, html, Max. file size: 2 GB.

Email Marketing Specialist #2580 – Location: hybrid; Palm Beach County, FL

/in /by
Email Marketing Specialist #2580

Position Summary:
Our partner, a technology-driven real estate and storage services company, is currently undergoing a major modernization effort across CRM, customer data architecture, automation, and lifecycle experience. The team is moving from simple batch sends to a true data-informed automation ecosystem; therefore, they are adding an Email Marketing Specialist to join their team. As the Strategist, you will take ownership of how customers engage from the moment they sign up through renewal, move out, and every meaningful point in between. You will shape the company’s entire email and SMS program, introduce experimentation, enhance segmentation, and build automated workflows that directly tie to revenue, occupancy, and customer satisfaction. If you enjoy partnering with product and engineering teams to solve data challenges and create lifecycle systems that scale with growth, this is a place where you can make a visible impact.

Experience and Education:

  • BS in Computer Science, Information Systems, Data Analytics or equivalent experience/field
  • Hands-on experience leading email marketing or lifecycle channels in a high-volume digital environment
  • Background working in ESPs such as Iterable, Braze, HubSpot, Salesforce Marketing Cloud, or Klaviyo
  • Experience building automated journeys, behavioral triggers, and lifecycle programs
  • Understanding how to collaborate with product, IT, and engineering teams to troubleshoot integrations
  • Experience migrating ESPs or implementing new marketing platforms

Skills and Strengths:

  • ESP Systems
  • Iterable
  • Lifecycle automation
  • HTML/CSS
  • Segmentation
  • Personalization logic
  • Behavioral triggers
  • Data integration
  • ESP migration
  • A/B testing
  • QA testing for email rendering
  • Deliverability management
  • Dynamic content
  • Customer journey mapping
  • Analytics interpretation
  • Cross-functional collaboration
  • Content editing
  • Workflow design
  • Database understanding
  • Compliance awareness

Primary Job Responsibilities:

  • Build automated lifecycle journeys across email and SMS from the ground up
  • Design segmentation models that use behavioral, demographic, and lifecycle data
  • Drive the end-to-end ESP migration effort in collaboration with product and IT
  • Build HTML modules and reusable templates for campaigns and automations
  • Partner with engineering on tags, events, triggers, and data flows
  • Create testing plans and run A/B experiments across journeys and content
  • Diagnose and resolve deliverability issues
  • Develop targeting strategies that support revenue growth and occupancy
  • Create and manage abandoned cart, win back, churn, re-engagement, and nurture flows
  • Own audience logic and ensure customer data quality inside the ESP
  • Collaborate with internal writers or create content independently when needed
  • Monitor performance and adjust journeys based on customer behavior
  • Provide recommendations that tie lifecycle improvements to business outcomes
  • Serve as the primary expert for marketing automation across the company
  • Work closely with cross-functional partners, including Revenue, Operations, SEO, and Customer Service
  • Accepted file types: doc, docx, txt, text, pdf, rtf, html, Max. file size: 2 GB.

QA AI Automation Engineer #2596 – Location: remote; Colombia

/in /by

QA AI Automation Engineer #2596

Position Summary:
Our partner is a fast-moving healthcare technology environment building AI-driven platforms, including voice-based systems, where reliability, safety, and scalable quality matter as much as speed of delivery. They are seeking a QA AI Automation Engineer to work at the intersection of QA automation, AI-driven systems, and healthcare reliability. This work focuses on validating complex applications where outputs change based on data, user behavior, and real-world noise, including voice-based AI experiences. You will help shape how quality scales across rapidly evolving AI initiatives, working closely with developers as a technical peer. The right person brings a proactive, engineering mindset, takes responsibility for quality without waiting for direction, and is comfortable testing systems that evolve over time.

Experience and Education:

  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or equivalent hands-on experience building and testing software systems
  • Background working in QA automation within modern, production software environments
  • Hands-on experience testing web applications and backend APIs as part of real release cycles
  • Experience integrating automated testing into CI/CD workflows and release pipelines
  • History of close collaboration with software engineers on debugging and quality strategy
  • Comfort working in fast-moving teams with limited structure, documentation, or handholding
  • Exposure to data-heavy, asynchronous, or complex systems; experience with AI-driven features is a plus
  • Experience in healthcare, voice systems, or other reliability-sensitive domains is a plus

Skills and Strengths:

  • QA automation testing
  • Manual functional testing
  • AI system testing
  • Test case design
  • Test data creation
  • Automation tools such as Playwright; Cypress or Selenium
  • GGX
  • Voice AI testing tools
  • API testing
  • CI/CD test execution
  • JavaScript
  • TypeScript
  • Performance testing
  • Regression testing
  • Nondeterministic behavior testing
  • Data pipeline validation
  • ML-driven decision engine testing
  • Voice workflow testing
  • Chatbot interaction testing
  • Root cause defect analysis
  • Mobile test automation
  • Chaos testing
Primary Job Responsibilities:
  • Design, implement, and maintain automated tests for web applications and backend APIs
  • Perform manual testing where automation is not yet practical, especially in early or changing features
  • Integrate automated tests into CI/CD pipelines to support reliable and frequent releases
  • Validate system behavior across ongoing deployments and product changes
  • Work closely with developers during planning, refinement, and debugging to improve quality early
  • Investigate test failures and defects to identify root causes, not just symptoms
  • Anticipate edge cases and failure scenarios based on real user behavior and system complexity
  • Apply negative testing and risk-based thinking to uncover issues before they reach production
  • Test data-driven and asynchronous workflows; exposure to AI-driven features is a plus
  • Validate voice-based or conversational workflows where applicable
  • Contribute to testing of data flows and integrations that support complex system behavior
  • Communicate quality risks, tradeoffs, and gaps clearly to engineering teams
  • Take ownership of assigned areas and proactively drive quality without waiting for direction
  • Adapt testing approaches as products, tools, and requirements evolve
  • Support a culture of shared responsibility for quality across the team
  • Accepted file types: doc, docx, txt, text, pdf, rtf, html, Max. file size: 2 GB.

Voice AI Agent Specialist #2586 – Location: remote; US or Colombia

/in /by
Voice AI Agent Specialist #2586

Position Summary:
Our partner, one of the nation’s most respected healthcare systems, is moving quickly toward an AI-first future and is transforming one of the most critical patient touchpoints into a modern, highly effective call center experience. To complete this task, they are looking for a high skilled Voice AI Agent Specialist. Here you’ll help design and scale voice-driven AI agents that take on high-volume scheduling and support workflows that currently overwhelm call centers. If you enjoy turning messy real-world processes into clear conversational workflows, building Node-driven logic that plugs into complex systems, and architecting voice AI that can scale to millions of interactions, this is a place to grow. You’ll be the expert others rely on, shaping how intelligent voice agents operate across an enterprise and setting the foundation for how AI supports clinical operations.

Experience and Education:

  • BS in Computer Science, Software Engineering, Information Systems, or equivalent experience/field
  • Background building AI voice agents using modern voice-AI platforms
  • Experience translating operational workflows into conversational or prompt-driven logic
  • Prior work integrating AI agents with backend systems using Node.js
  • Exposure to large call-volume environments, customer support automation, or telephony workflows
  • Experience scaling prototypes into production-ready, high-volume systems
  • Familiarity with multiple voice AI frameworks and tools

Skills and Strengths:

  • Voice AI development
  • Conversational workflow design
  • Prompt engineering
  • Node.js
  • API integration
  • VAPI
  • Voice agent architecture
  • Workflow translation
  • Call automation systems
  • Scripting for backend logic
  • Natural language processing concepts
  • Error-handling design for AI agents
  • AI tool evaluation
  • System scalability planning
  • Performance monitoring
  • Automated scheduling logic
  • Telephony integration
  • Debugging production voice agents
  • Cloud-based deployment workflows
  • Cross-functional collaboration

Primary Job Responsibilities:

  • Build, refine, and deploy AI voice agents capable of handling large call volumes
  • Translate hospital workflows into structured conversational and prompt logic
  • Develop Node-based scripts and application logic to retrieve and schedule appointments
  • Integrate voice agents with backend scheduling and operational systems
  • Improve and extend the existing VAPI-based architecture
  • Evaluate additional voice AI tools and frameworks as needed
  • Design for scalability, moving from thousands to millions of interactions
  • Collaborate with engineering and operational teams to refine requirements
  • Prototype new features and test interaction flows
  • Troubleshoot and optimize voice agent performance in production
  • Ensure conversational accuracy and successful task completion
  • Build repeatable patterns for replicating and launching new voice bots
  • Document logic, workflows, and integration points
  • Serve as the internal subject matter expert for all voice AI technologies
  • Contribute to a long-term roadmap focused on enterprise-level automation
  • Accepted file types: doc, docx, txt, text, pdf, rtf, html, Max. file size: 2 GB.