Cypress Engineer
Lead the design and execution of automated testing strategies for UI, API, and database layers. Collaborate with product teams and Scrum masters to integrate testing schedules and report metrics.
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Lead the design and execution of automated testing strategies for UI, API, and database layers. Collaborate with product teams and Scrum masters to integrate testing schedules and report metrics.
Extract, query, and manipulate large-scale consumer and retail datasets using SQL to identify business trends. Translate complex data into actionable insights and maintain structured datasets for recurring reporting.
Lead the development and execution of the company's AI strategy and establish a corporate AI Committee for governance and responsible use. Oversee the implementation of enterprise AI platforms and integrate Generative AI solutions into strategic business processes.
Operationalize AI capabilities across Commercial and Medical teams by defining the semantic layer and implementing RAG-based chat interfaces. Coordinate cross-functional guardrails and build prototypes to turn AI concepts into practical business capabilities.
Own and evolve the cloud platform across AWS and GCP, focusing on the compute layer, EKS fleet, and networking. Improve infrastructure reliability and stability through observability, AI-powered automation, and infrastructure-as-code patterns.
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Partner with Account Executives to drive growth and retention through technical expertise and customer engagement. Provide pre-sales engineering support by compiling competitive quotes and managing complex manufacturing projects.
Design and implement business processes and digitally enabled solutions for global Automotive and Mobility clients using Salesforce and MS Dynamics 365. Support business development through proposal generation and the creation of proof-of-concept solution designs.
Design and implement the backend infrastructure for Model Context Protocol (MCP) server components to enable tool-use and agent orchestration. Collaborate with a technical lead to integrate these AI layers into an existing Java and SQL Server production stack.
Maintain and optimize agentic AI infrastructure using LangChain and MCP protocol. Own the deployment pipelines, observability, and production stability for LLM-based systems.
Develop ROI models and customer-facing impact reports to prove the value of the Listo platform. Collaborate across Product, Sales, and Customer Success teams to define operational metrics and analyze large datasets for business insights.
Own the end-to-end development of features and systems across the full stack, including frontend, backend, and infrastructure. Partner with product teams to translate ambiguous problems into reliable, high-performance enterprise AI workflows.
Maintain and evolve a backend analytics and data processing platform focusing on dashboards and attribution. Responsibilities include fixing production issues, optimizing complex SQL scripts, and providing operational technical support.
Design and implement security safeguards for internal AI and agentic systems, focusing on runtime enforcement and identity controls. Establish observability, detection capabilities, and threat models to prevent unsafe AI-driven activity and protect developers.
Develop and evolve digital products for startups and global brands using a modern TypeScript stack. Implement scalable interfaces and AI features while ensuring high code quality through rigorous review and testing.
Develop technology solutions for companies across various industries including banking, insurance, health, and logistics. Collaborate within a team to support the digital evolution of clients in LATAM, USA, and Europe.
Lead commercial proposals, project architecture kick-offs, and initial technical agreements alongside Solution Architects. Provide mentoring and guidance to developers within the team.
The role involves managing cloud infrastructure and implementing DevOps practices to support digital evolution across various industries. Responsibilities include building CI/CD pipelines and managing containerized environments.
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The role involves analyzing and gathering requirements to ensure a clear understanding for the development team. It also requires documenting functional and non-functional requirements to guide digital evolution across various industries.
The role involves analyzing and gathering requirements to translate them into documentation for the development team. It focuses on creating both functional and non-functional requirement specifications.
Lead the implementation, configuration, and administration of the PowerCampus Student Information System to ensure high availability and performance. Manage system integrations, optimize SQL queries, and collaborate with functional teams to implement system enhancements.
The role involves leading client discovery sessions to design and implement end-to-end agentic AI architectures and workflows. You will act as a technical advisor to stakeholders while developing AI-driven automation for marketing and data operations.
Develop business functionalities and participate in Sprint Planning and Retrospective meetings. Collaborate on project documentation and suggest points for improvement.
Develop business functionalities and participate in Sprint Planning and Retrospective meetings. Collaborate on project documentation and suggest points for improvement.
Develop digital solutions for various industries including banking, tourism, and port sectors. Implement high-quality code using Python and Django while applying software design patterns.
Develop back-end solutions using Java and SpringBoot to support the digital evolution of clients in various industries. Collaborate within a team to design and implement scalable technology for growing companies.
Develop business functionalities and participate in Sprint Planning and Retrospective meetings. Collaborate on project documentation and suggest points for improvement.
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Lead technical teams and define software architecture, including CI/CD and modular development. Responsible for technical proposals to increase account value and mentoring the technical team.
Design and implement scalable, domain-oriented data pipelines on AWS to power analytics and business-critical workflows. Collaborate with cross-functional teams to optimize batch and streaming ingestion architectures while ensuring data quality and governance.
Design and implement scalable, domain-oriented data pipelines on AWS to support analytics and business-critical workflows. Collaborate with cross-functional teams to optimize data quality, reliability, and performance across various data domains.
Design, build, and maintain scalable backend services and distributed systems using Java and Python. Take full ownership of features from design to optimization while leveraging AI-assisted tools to accelerate delivery.
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