QA Engineer Jobs in Peru.
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Senior Clinical Data Engineer (LATAM)
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We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.
The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.
This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.
Essential functions of the job include but are not limited to:
Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.
Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials
Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume
Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.
Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.
Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.
Qualifications:
Minimum Required:
- Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
- Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
- Advanced programming and automation skills; database design; dashboard development; CDISC governance
- Professional working proficiency in English
Other Required:
- Highly effective oral and written communication skills with the ability to communicate effectively with project team members
- Excellent organizational and time management skills
- Ability to work in a team or independently as required
- Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
- Proficiency in statistical analysis and data monitoring tools.
- Detail-oriented with strong analytical and problem-solving skills
- Demonstrated experience with integrated risk planning & management
- Ability to mentor junior team members
Preferred:
- CRO experience as a Clinical Data Engineer or Programmer
Skills:
- Strong analytical and problem-solving skills with attention to data quality and integrity.
- Ability to work with large, complex datasets from multiple sources.
- Effective communication skills to collaborate with cross-functional teams.
- Knowledge of data governance, privacy, and security best practices in clinical research.
Competencies:
- Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
- Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
- Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
- Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.
#LI-AG2 #LI-REMOTE
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Ready to apply?
Apply to Precision for Medicine
Senior Clinical Data Engineer (LATAM)
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We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.
The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.
This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.
Essential functions of the job include but are not limited to:
Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.
Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials
Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume
Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.
Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.
Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.
Qualifications:
Minimum Required:
- Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
- Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
- Advanced programming and automation skills; database design; dashboard development; CDISC governance
- Professional working proficiency in English
Other Required:
- Highly effective oral and written communication skills with the ability to communicate effectively with project team members
- Excellent organizational and time management skills
- Ability to work in a team or independently as required
- Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
- Proficiency in statistical analysis and data monitoring tools.
- Detail-oriented with strong analytical and problem-solving skills
- Demonstrated experience with integrated risk planning & management
- Ability to mentor junior team members
Preferred:
- CRO experience as a Clinical Data Engineer or Programmer
Skills:
- Strong analytical and problem-solving skills with attention to data quality and integrity.
- Ability to work with large, complex datasets from multiple sources.
- Effective communication skills to collaborate with cross-functional teams.
- Knowledge of data governance, privacy, and security best practices in clinical research.
Competencies:
- Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
- Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
- Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
- Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.
#LI-AG2 #LI-REMOTE
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Ready to apply?
Apply to Precision Medicine Group
Información Importante
Ubicación: Perú
Modalidad de trabajo: Hibrido - 1 a 2 veces por semana en Miraflores. Apto para residentes fuera de Lima con disponibilidad de acceso cuando se requiera.
Resumen del puesto
Buscamos un/a QA Engineer (21166) con experiencia en entornos bancarios para asegurar la calidad de aplicaciones digitales (web y mobile) mediante la ejecución de pruebas funcionales, automatización y validaciones de performance. La persona será responsable de garantizar la estabilidad, seguridad y correcto funcionamiento de soluciones orientadas a banca digital, trabajando de forma colaborativa con equipos de desarrollo y negocio.
Responsabilidades y Funciones
-
Ejecutar pruebas funcionales, de regresión y pruebas de aceptación de usuario (UAT).
-
Diseñar, documentar y mantener casos de prueba manuales y automatizados.
-
Participar en la automatización de pruebas y mejora continua de procesos QA.
-
Realizar pruebas de performance utilizando herramientas como JMeter.
-
Ejecutar pruebas de APIs y validar integraciones entre sistemas.
-
Identificar, registrar, hacer seguimiento y validar la corrección de defectos.
Requisitos y Habilidades
-
+4 años de experiencia profesional como QA
-
+2 años de experiencia en automatización de pruebas.
-
2 a 4 años de experiencia en pruebas funcionales, regresión y UAT.
-
2 años de experiencia en banca o proyectos relacionados (banca digital, créditos, ahorros).
-
Certificación ISTQB Foundation.
-
Experiencia en pruebas de performance con JMeter.
-
Experiencia en API Testing.Manejo de Jira y Xray.
-
Experiencia en gestión de defectos.
-
Conocimiento de métricas de calidad.
-
Nivel intermedio en bases de datos (DB2 / SQL Server).
-
Experiencia con Git.
Deseables:
- Conocimiento de BanTotal.
- Experiencia con herramientas de análisis de código y seguridad (SonarQube, Veracode).
- Conocimientos en GCP.
- Conocimiento de ESB.
Acerca de Encora
Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.
En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.
Ready to apply?
Apply to Encora
Lead Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Important Information
Location: Peru
Work Mode: Hybrid
Job Summary
As a Senior Quality Assurance Engineer (19518), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Estimate testing efforts based on technical specifications and participate in early planning phases to ensure comprehensive quality coverage across the SDLC
- Design, document, and execute functional, regression, performance, and acceptance test cases, ensuring software stability, reliability, and usability
- Identify, document, and validate defects, measure product stability through test metrics, and escalate risks impacting delivery timelines or quality
- Manage and prioritize the automation backlog, collaborate with automation engineers to increase test coverage, and leverage Agentic AI tools to enhance productivity and testing efficiency
Qualifications and Skills
- Bachelor’s or Master’s degree in Geology, Geophysics, Computer Science, or a related Engineering discipline
- 5+ years of experience in Quality Assurance within complex software environments, preferably in geoscience or energy industry domains
- Strong experience designing and executing manual regression, functional, and performance testing strategies
- Hands-on experience managing test cases and defects using tools such as Azure DevOps or similar platforms
- Experience working with OpenWorks/Oracle databases and managing synthetic or project-based data sets
- Solid understanding of CI/CD principles and tools (e.g., GitLab) within Agile environments
- Proficiency working across both Windows and Linux platforms
- Hands-on experience using automation tools and frameworks to increase quality coverage
- Experience leveraging Agentic AI or AI-powered tools to improve productivity and quality processes
- Strong communication skills, collaborative mindset, and ability to work effectively in distributed global teams while mentoring junior members
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Backend Software Engineer Mid (21034) con fuerte enfoque en Java y desarrollo de APIs, responsable del mantenimiento evolutivo de aplicaciones, corrección de vulnerabilidades y soporte técnico dentro de un entorno bancario exigente.
Responsabilidades y Funciones
- Desarrollar y mantener aplicaciones backend en Java y Spring.
- Diseñar, implementar y documentar APIs RESTful.
- Consumir y exponer servicios SOAP y REST.
- Corregir vulnerabilidades identificadas por equipos de seguridad.
- Brindar soporte al equipo de QA en resolución de incidencias.
- Realizar despliegues en ambientes no productivos para certificación.
- Gestionar versionamiento de código mediante Git.
- Documentar evidencias técnicas de cambios y soluciones implementadas.
- Participar en reuniones de coordinación con equipos técnicos.
Requisitos y Habilidades
- +3 años de experiencia en desarrollo backend con Java.
- Conocimiento avanzado en Java (8, 11 o superiores) y Spring Framework.
- Experiencia sólida con Oracle (procedimientos almacenados, packages, funciones).
- Experiencia en diseño y desarrollo de APIs REST.
- Conocimiento en servicios SOAP.
- Conocimiento en mecanismos de autenticación y autorización (JWT, OAuth).
- Experiencia con herramientas como Postman y Swagger.
- Manejo de control de versiones (Git).
- Conocimiento en pruebas unitarias y funcionales.
- Conocimiento en buenas prácticas de seguridad (XSS, CSRF, SQL Injection).
- Conocimiento intermedio en JavaScript (ES6+).
- Experiencia en metodologías ágiles (Scrum).
Sobre Encora
Encora es el socio preferido para ingeniería digital y modernización de algunas de las empresas líderes del mundo y compañías digitales nativas. Con más de 9,000 expertos en más de 47 oficinas y laboratorios de innovación a nivel global, Encora ofrece soluciones en Product Engineering, Cloud Services, Quality Engineering, DevSecOps, Data, Digital Experience, Cybersecurity y AI Engineering.
En Encora contratamos profesionales basándonos únicamente en sus habilidades y calificaciones, sin discriminación por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.
Ready to apply?
Apply to EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Frontend Software Engineer Mid (21035) con experiencia en React, enfocado en el desarrollo y mantenimiento de aplicaciones web, asegurando calidad de código, integración con servicios y cumplimiento de estándares de seguridad.
Responsabilidades y Funciones
- Desarrollar y mantener aplicaciones frontend utilizando React.
- Implementar landings y componentes web integrados con servicios backend.
- Corregir vulnerabilidades identificadas por el equipo de seguridad.
- Brindar soporte al equipo de QA en la resolución de issues.
- Generar builds para entornos de desarrollo y producción.
- Gestionar versionamiento de código mediante Git.
- Documentar soluciones y evidencias de corrección.
- Participar en reuniones de coordinación con equipos técnicos.
Requisitos y Habilidades
- +3 años de experiencia en desarrollo frontend.
- Experiencia sólida en React.
- Conocimiento en Angular (deseable).
- Conocimiento en Node.js.
- Manejo de JavaScript, CSS y SCSS.
- Experiencia en consumo e integración de APIs (REST/SOAP).
- Manejo de herramientas como Postman y Swagger.
- Conocimiento en control de versiones (Git).
- Conocimiento en buenas prácticas de seguridad web (XSS, CSRF, etc.).
- Experiencia en metodologías ágiles (Scrum).
- Conocimiento en SEO (deseable).
Sobre Encora
Encora es el socio preferido para ingeniería digital y modernización de algunas de las empresas líderes del mundo y compañías digitales nativas. Con más de 9,000 expertos en más de 47 oficinas y laboratorios de innovación a nivel global, Encora ofrece soluciones en Product Engineering, Cloud Services, Quality Engineering, DevSecOps, Data, Digital Experience, Cybersecurity y AI Engineering.
En Encora contratamos profesionales basándonos únicamente en sus habilidades y calificaciones, sin discriminación por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.
Ready to apply?
Apply to EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un QA Automation Engineer Senior (20763), responsable de asegurar la calidad del software mediante la automatización de pruebas y la implementación de estrategias de testing. Tendrás un rol clave en la mejora continua de procesos de calidad, garantizando soluciones confiables, eficientes y de alto rendimiento.
Responsabilidades y Funciones
- Diseñar, desarrollar y mantener pruebas automatizadas.
- Implementar frameworks de automatización de testing.
- Identificar, documentar y dar seguimiento a defectos.
- Colaborar con equipos de desarrollo para asegurar la calidad desde etapas tempranas.
- Ejecutar pruebas funcionales, de integración y regresión.
- Integrar pruebas dentro de pipelines CI/CD.
- Promover buenas prácticas de QA y mejora continua en procesos de testing.
- Participar en ceremonias ágiles y actividades del equipo.
Requisitos y Habilidades
- Experiencia sólida en automatización de pruebas de software.
- Conocimiento de herramientas como Selenium, Cypress u otras similares.
- Experiencia en desarrollo de scripts de automatización.
- Conocimiento del ciclo de vida de desarrollo de software (SDLC).
- Experiencia en integración de pruebas en CI/CD.
- Experiencia trabajando en entornos ágiles.
- Habilidades analíticas, atención al detalle y trabajo en equipo.
Sobre Encora
Encora es el socio preferido para ingeniería digital y modernización de algunas de las empresas líderes del mundo y compañías digitales nativas. Con más de 9,000 expertos en más de 47 oficinas y laboratorios de innovación a nivel global, Encora ofrece soluciones en Product Engineering, Cloud Services, Quality Engineering, DevSecOps, Data, Digital Experience, Cybersecurity y AI Engineering.
En Encora contratamos profesionales basándonos únicamente en sus habilidades y calificaciones, sin discriminación por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.
Ready to apply?
Apply to Encora