This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This is a high-impact technical leadership role focused on shaping the architecture of a large-scale, multi-tenant SaaS platform serving enterprise customers. The SaaS Platform Architect will define the long-term architectural strategy and guide the development of scalable, resilient, and secure cloud-native systems. Working closely with engineering, product, and leadership teams, this role ensures the platform can handle high data volumes, complex workloads, and strict reliability requirements. The position combines deep software architecture expertise with hands-on technical leadership, influencing backend systems, APIs, and data infrastructure. It also plays a key role in enabling AI-driven innovation and modern development practices. This is an opportunity to drive architectural excellence and impact millions of users through high-performance enterprise software. - Define and lead the architectural evolution of a multi-tenant SaaS platform, ensuring scalability, performance, security, and resilience at enterprise scale. - Design highly distributed, fault-tolerant backend services and establish architectural standards, patterns, and technical roadmaps. - Guide decisions around system decomposition, API strategy, extensibility, and large-scale data architecture. - Architect and optimize cloud-native infrastructure on AWS while ensuring cost efficiency, high availability, and strong security controls. - Oversee containerization and orchestration strategies using technologies such as Docker and Kubernetes. - Promote engineering best practices including CI/CD pipelines, observability, reliability engineering, and infrastructure-as-code. - Integrate and advance AI-assisted development practices and evaluate emerging AI/ML frameworks for platform innovation. - Lead architectural reviews, mentor senior engineers, and provide guidance on complex technical challenges across teams. - Collaborate cross-functionally with product, engineering, data, QA, and DevOps to ensure alignment between architecture and product goals. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience). - 10+ years of experience designing and architecting enterprise-scale, multi-tenant SaaS platforms. - Strong expertise in Java, Spring Boot, Hibernate, MySQL, and RESTful API design. - Extensive experience with cloud-native systems on AWS, including compute, storage, networking, and managed services. - Deep knowledge of distributed systems architecture, event-driven design, and large-scale data modeling. - Proven experience designing systems for high availability, fault tolerance, and performance under high concurrency workloads. - Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes. - Strong DevOps knowledge including CI/CD pipelines, observability tools, Git-based workflows, and infrastructure-as-code practices. - Experience using generative AI coding tools such as GitHub Copilot, Cursor, or similar within professional development workflows. - Excellent technical leadership, communication, and cross-functional collaboration skills. - Preferred: experience with real-time messaging systems (Kafka, SQS), Elasticsearch, enterprise observability platforms, or AI/LLM integrations such as RAG pipelines or agentic workflows. Requirements - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience). - 10+ years of experience designing and architecting enterprise-scale, multi-tenant SaaS platforms. - Strong expertise in Java, Spring Boot, Hibernate, MySQL, and RESTful API design. - Extensive experience with cloud-native systems on AWS, including compute, storage, networking, and managed services. - Deep knowledge of distributed systems architecture, event-driven design, and large-scale data modeling. - Proven experience designing systems for high availability, fault tolerance, and performance under high concurrency workloads. - Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes. - Strong DevOps knowledge including CI/CD pipelines, observability tools, Git-based workflows, and infrastructure-as-code practices. - Experience using generative AI coding tools such as GitHub Copilot, Cursor, or similar within professional development workflows. - Excellent technical leadership, communication, and cross-functional collaboration skills. - Preferred: experience with real-time messaging systems (Kafka, SQS), Elasticsearch, enterprise observability platforms, or AI/LLM integrations such as RAG pipelines or agentic workflows. Benefits - Competitive base salary ranging from $250,000 to $350,000 plus stock equity. - Comprehensive medical, dental, and vision plans with $0 monthly premium options available. - 401(k) retirement plan. - Flexible and fully remote work environment. - Discretionary paid time off and company holidays. - Paid parental leave. - Monthly wellness reimbursement. - Monthly meal or lunch stipend. - Opportunity to work on cutting-edge AI-driven SaaS technology with global impact.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to work on enterprise-grade PeopleSoft solutions across HR, Finance, and Supply Chain domains, contributing to the automation and optimization of critical business processes. The PeopleSoft Technical Developer will design, implement, and maintain secure, scalable, and efficient applications, leveraging PeopleTools, PeopleCode, Application Engine, and integration frameworks. You will collaborate with cross-functional teams to ensure robust solutions, drive innovation through automation and integrations, and participate in CI/CD and Agile processes. This is a remote, high-impact position where your work directly supports enterprise operations and offers exposure to cutting-edge technologies and career growth opportunities. - Develop and maintain PeopleSoft FSCM/HCM applications using PeopleTools, PeopleCode, Application Engine, SQR, and BI Publisher. - Implement and manage integrations using Component Interface, Integration Broker, REST/SOAP Web Services, and other PeopleSoft integration tools. - Perform database development and optimization using SQL, PL/SQL, and Oracle Database. - Manage PeopleSoft security, roles, upgrades, and patching activities to ensure system stability and compliance. - Collaborate with teams using Agile methodologies, CI/CD pipelines, and Git for version control and deployment automation. - Troubleshoot, optimize, and enhance PeopleSoft solutions for performance, reliability, and scalability. - Contribute to code reviews, testing, and knowledge sharing to maintain high-quality deliverables. Qualifications - 3–5 years of hands-on PeopleSoft technical experience, including FSCM/HCM modules. - Expertise in PeopleTools, PeopleCode, Application Engine, Component Interface, Integration Broker, and Web Services (REST/SOAP). - Strong SQL, PL/SQL, Oracle Database, SQR, and BI Publisher skills. - Knowledge of PeopleSoft security, roles, upgrade/patch management, and Unix/Linux OS. - Experience with CI/CD pipelines, Git, and Agile development practices. - Ability to work independently in a remote environment while collaborating with cross-functional teams. - Strong problem-solving skills, attention to detail, and commitment to high-quality delivery. - OPT/CPT/H4 EAD/TN/E3 or other non-immigrant visa candidates seeking H-1B sponsorship (2027 quota) are eligible. Benefits - Competitive salary and career growth opportunities. - Remote work flexibility. - Exposure to cutting-edge PeopleSoft technologies and enterprise systems. - Collaborative, inclusive, and dynamic team environment. - Opportunities to work on high-impact, enterprise-level projects. - Access to professional development and mentorship.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Principal Engineer, you will lead the design and development of cutting-edge Conversational AI and cloud-native messaging solutions, helping organizations transform their contact center and AI capabilities. You will partner with architecture and engineering teams to create scalable, resilient, and high-performance applications, integrating real-time voice, AI models, and platform SDKs. This role offers the opportunity to shape technical direction, mentor engineers, and implement solutions that directly impact enterprise clients. You will work in a collaborative, agile environment, driving innovation and engineering excellence while delivering high-quality software. The position combines technical leadership with hands-on coding, allowing you to influence both architecture and execution. Success in this role directly contributes to the evolution of next-generation AI-driven communication platforms. - Lead the design and implementation of cloud-native messaging and AI applications that advance Conversational AI capabilities. - Partner with architecture teams to define requirements, translate vision into scalable solutions, and ensure technical alignment across projects. - Integrate real-time voice, platform SDKs, and AI-driven services into enterprise-grade products. - Guide engineering teams, set best practices, and foster technical excellence through mentoring and code reviews. - Participate actively in agile Scrum teams, contributing to sprint planning, execution, and continuous improvement. - Drive comprehensive test automation and quality-first delivery processes. - Collaborate with cross-functional teams to ensure solutions meet business and technical requirements, with attention to scalability, reliability, and performance. Qualifications - Bachelor’s or Master’s degree in Computer Science, Communications, or a related field. - 10+ years building full-stack applications using Java and Node.js (experience with Vue is a plus). - 5+ years designing and architecting enterprise SaaS products; 2+ years developing real-time voice solutions. - Experience delivering AI products to production, with knowledge of cloud platforms and Kubernetes (GCP experience preferred). - Proficiency in distributed systems, microservices, RESTful APIs, and technologies such as Kafka, Redis, and NoSQL. - Strong background in data analytics and reporting, especially for contact centers or conversational AI (preferred). - Proven leadership in technical strategy, mentoring engineers, and guiding architectural decisions. - Familiarity with Agile/Scrum methodologies and experience in complex, collaborative environments. - Exceptional problem-solving, analytical, and communication skills, with the ability to balance strategic thinking and hands-on execution. Benefits - Competitive salary range: $170,000–$200,000 USD, with compensation based on experience, location, and skills. - Comprehensive health coverage including medical, dental, and vision plans. - 401(k) retirement plan with employer match, plus HSA/FSA options. - Employee Stock Purchase Program (ESPP) to share in company growth. - Life, disability, and supplemental insurance, plus legal and identity theft protection. - Flexible PTO and paid public holidays, with generous parental leave policies. - Remote-first work environment, with optional coworking space access. - Professional development resources, wellness programs, and inclusive workplace culture that supports growth and work-life balance. Company Description

• Realizar labores integrales de análisis técnico y desarrollo de software robusto en entornos Host utilizando PL/1 • Diseñar, programar y optimizar flujos y transacciones en entornos CICS • Interactuar de forma continua con bases de datos para la extracción y manipulación de información, operando sobre DB2 y Oracle • Investigar, diagnosticar y resolver incidencias técnicas complejas de manera ágil, garantizando la continuidad de las operaciones • Colaborar directamente en el proceso de integración de sistemas y datos para una de las principales aseguradoras del mercado • Aplicar una visión analítica para entender los requerimientos de negocio y traducirlos a soluciones eficientes en el mainframe