AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
WHAT YOU WILL DO
- Build regression automation scripts that support app functionality.
- Manually test software for validation and accuracy based on defined set of criteria.
- Execute smoke, regression, integration, performance and other testing types to ensure proper behavior of software.
- Record detailed documentation of feature behavior.
- Record pass/fails conditions of tests and correlate failures to bug identification.
- Identify and expand risk to quality of the product or the process.
- Collaborate with the product team to ensure quality throughout the SDLC and product release cycles.
- Collaborate with customer-facing teams to incorporate user feedback in the testing strategy.
- Participate in refinement and estimations of effort to promote accurate planning.
- Utilize GitHub to maintain automation repositories, run custom scripts, and facilitate automated quality practices.
- Participate in On-Call rotation.
MUST HAVES
3+ years of experience in a software quality assurance role .
3+ years of experience in automated testing .
Strong written and verbal communication skills.
Possess a mindset focused on holistic quality.
Experience writing and working with Gherkin for behavior-driven development.
Experience with prompt engineering and harness engineering .
Experience building Agentic skills focused on Quality Engineering .
NICE TO HAVES
Experience with automated testing frameworks such as Jest, Playwright, Postman, JMeter or any other object-oriented based automated testing framework.
Experience with testing support functionalities such as GitHub Actions, LambdaTest, SendGrid, Datadog, PagerDuty.
Proficiency in SQL.
Experience with Ruby on Rails and backend development.
Understanding of quality management systems and quality control processes.




Background in data-based testing and/or h an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform .
The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI-driven identities access systems across cloud, SaaS, network, endpoint, and on-premise environments .
At the core of the platform is a highly data-intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals .
This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.About the RoleWe're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.This is not a traditional backend or internal data engineering position.You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time-to-production.What You'll Be DoingDesign, develop, and maintain production-grade data collectors, connectors, and ingestion services .
Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions,



network infrastructure, endpoints, applications, security platforms, and SIEM systems .
Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources .
Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.Optimize ingestion performance, reliability, scalability, and operational efficiency.Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.Contribute technical insights from real-world implementations to the product roadmap.Support production adoption and continuously improve time-to-value for enterprise customers.Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.What You Bring10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.Strong software development experience with:PythonGoStrong experience designing and consuming REST APIs .
Hands-on experience building data ingestion pipeli.
Experience using AI tools in QA and critically reviewing their output.
Testing AI‐powered applications is a plus.
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📌 Remote Qa Engineer — Api & Backend Testing Specialist (Rosario)
🏢 QualityAI
📍 Rosario