Applaudo

HQ
San Salvador
Total Offices: 2
471 Total Employees
Year Founded: 2013

Jobs at Applaudo

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Recently posted jobs

50 Minutes AgoSaved
In-Office or Remote
Guatemala City, Municipio de Guatemala, Guatemala, GTM
Artificial Intelligence • Cloud • Machine Learning • Software
Leads pre-sales solution architecture by translating client objectives into scalable technical solutions. Conducts discovery workshops, evaluates cloud platforms and technology stacks, develops estimates, identifies risks, creates architecture diagrams and proposals, and presents recommendations to technical and executive stakeholders. Collaborates with Sales, Engineering, Delivery, and Operations to ensure solution feasibility, commercial alignment, and effective project handoffs.
2 Days AgoSaved
In-Office or Remote
Mexico City, Cuauhtémoc, Mexico City, MEX
Artificial Intelligence • Cloud • Machine Learning • Software
Design and evolve a secure, scalable Azure integration platform. Assess existing architecture and code, define enterprise integration, security, quality, and AI-development guardrails, and review AI-generated code and infrastructure. Develop canonical data models, configuration-driven platforms, event-driven and synchronous integrations, APIs, and CDC patterns. Collaborate with distributed client engineering teams, document architectural decisions, and support ERP and downstream data integrations.
2 Days AgoSaved
In-Office or Remote
Bogotá, Distrito Capital, COL
Artificial Intelligence • Cloud • Machine Learning • Software
Build and maintain secure, scalable Azure environments using Terraform or Bicep, CI/CD pipelines, and AI coding agents. Deploy Azure Function Apps, API Management, Service Bus, and Azure SQL Database. Implement identity, secrets management, security and quality gates, monitoring, observability, and infrastructure documentation. The role requires autonomous DevOps delivery within architectural standards, with strong troubleshooting and technical documentation skills.
2 Days AgoSaved
Remote
Región de Callao, PER
Artificial Intelligence • Cloud • Machine Learning • Software
Design, develop, and maintain scalable Java and Spring Boot enterprise applications. Build integrations using REST APIs, middleware, messaging, Kafka, and event-driven architectures. Modernize legacy systems, deploy and optimize applications in Microsoft Azure, and troubleshoot performance and reliability issues while collaborating with engineering, product, and business stakeholders.
3 Days AgoSaved
In-Office or Remote
Bogotá, Distrito Capital, COL
Artificial Intelligence • Cloud • Machine Learning • Software
Performs functional quality assurance for web and mobile applications, including test case design, regression, integration, exploratory, API, and end-to-end testing. Validates business workflows, system integrations, user experiences, and requirements; identifies and tracks defects; collaborates with Product, Development, and UX/UI teams; participates in Agile ceremonies; and supports continuous quality improvement.
3 Days AgoSaved
Hybrid
Mexico City, Cuauhtémoc, Mexico City, MEX
Artificial Intelligence • Cloud • Machine Learning • Software
Design, provision, manage, and troubleshoot Microsoft Azure infrastructure using Terraform and env0. Maintain complex infrastructure code, Entra ID configurations, GitHub Actions CI/CD pipelines, networking, security, platform services, and secrets management. Investigate incidents and operational issues with Azure-native tools, command-line interfaces, Datadog, and diagnostic settings. Collaborate with distributed engineering teams, translate development needs into cloud configurations, maintain documentation, and support reliable deployments.
3 Days AgoSaved
Hybrid
Mexico City, Cuauhtémoc, Mexico City, MEX
Artificial Intelligence • Cloud • Machine Learning • Software
Develop and maintain Terraform infrastructure, Azure environments, GitHub Actions CI/CD pipelines, Entra ID registrations, and OIDC authentication. Automate operational tasks with Bash or PowerShell, monitor Datadog and Azure alerts, perform incident triage, troubleshoot cloud issues, and maintain runbooks and documentation. The role collaborates with distributed engineering teams and senior engineers while supporting reliable cloud operations. This is a six-month contract-to-hire position requiring on-site work in Mexico City or São Paulo.
3 Days AgoSaved
In-Office or Remote
Bogotá, Distrito Capital, COL
Artificial Intelligence • Cloud • Machine Learning • Software
Build and maintain scalable Playwright automation frameworks and regression suites using the Page Object Model. Perform exploratory, functional, and regression testing, identify quality risks and coverage gaps, manage flaky tests, and integrate automation into CI/CD workflows. Collaborate with developers and QA teams to investigate defects, improve testability, document results, and prioritize testing based on business impact. Evaluate AI-assisted testing tools while balancing automation development with hands-on testing.
4 Days AgoSaved
In-Office or Remote
Mexico City, Cuauhtémoc, Mexico City, MEX
Artificial Intelligence • Cloud • Machine Learning • Software
Execute end-to-end migrations from Azure DevOps to GitHub, including repositories, history, metadata, permissions, and CI/CD pipelines. Convert Azure Pipelines to GitHub Actions, configure security controls and integrations, automate repeatable migration tasks, troubleshoot migration and pipeline issues, validate cutovers, support engineering teams during stabilization, and maintain runbooks and technical documentation. Serve as the GitHub migration subject matter expert while coordinating with Infrastructure, Security, Microsoft support, and business stakeholders.
6 Days AgoSaved
In-Office or Remote
Bogotá, Distrito Capital, COL
Artificial Intelligence • Cloud • Machine Learning • Software
Design, develop, test, and maintain cloud-native .NET applications, REST APIs, microservices, serverless solutions, and Azure integrations. Support specification-driven development and AI coding agent adoption, guide engineers in AI-assisted workflows, validate AI-generated code, and improve security, observability, performance, and reliability. Provide technical guidance on enterprise APIs, MCP integrations, and Azure services while collaborating with cross-functional teams and contributing to Agile delivery and knowledge sharing.
6 Days AgoSaved
In-Office or Remote
Mexico City, Cuauhtémoc, Mexico City, MEX
Artificial Intelligence • Cloud • Machine Learning • Software
Designs, develops, and maintains production-grade full-stack applications using TypeScript, React, and Node.js. Builds AWS serverless services with Lambda, API Gateway, and DynamoDB; designs REST APIs, cloud infrastructure, and automated tests. Owns deployments, troubleshooting, reliability, security, and continuous improvement while collaborating with Engineering, QA, and Product teams in an Agile environment.
6 Days AgoSaved
Hybrid
San Salvador, SLV
Artificial Intelligence • Cloud • Machine Learning • Software
Build and secure cloud-native platforms primarily on GCP using Terraform and GitLab CI/CD. Lead infrastructure-as-code, immutable deployment, cloud security, multi-cloud and hybrid connectivity across GCP, AWS, and legacy systems. Implement Binary Authorization, network policies, Kubernetes operators, and FinOps controls. Define self-service Golden Paths, eliminate manual deployments, mentor team members, and transfer knowledge through collaboration and pair programming. This is a three-month hybrid assignment requiring three onsite days per week.
6 Days AgoSaved
Hybrid
San Salvador, SLV
Artificial Intelligence • Cloud • Machine Learning • Software
Build and optimize secure CI/CD pipelines, reusable Terraform modules, and infrastructure on GCP. Operate GKE, Cloud Run, Cloud SQL, and Artifact Registry; integrate vulnerability scanning and improve pipeline performance through caching and parallelism. Support development teams in adopting standardized Golden Paths and infrastructure-as-code practices. The role requires strong collaboration, autonomy, and English proficiency, with Spanish as the primary project language. This is a three-month hybrid assignment with potential extension.
7 Days AgoSaved
Remote
Región de Callao, PER
Artificial Intelligence • Cloud • Machine Learning • Software
Develop and maintain scalable web and mobile applications using React, Next.js, React Native, Node.js, and TypeScript. Build backend services, REST APIs, database integrations, authentication systems, and automated tests. Troubleshoot and optimize application performance, reliability, and security; participate in code reviews, Agile ceremonies, architecture decisions, and cross-functional collaboration.
7 Days AgoSaved
In-Office or Remote
São Paulo, BRA
Artificial Intelligence • Cloud • Machine Learning • Software
Adapt and deploy a Claude Code-based Jira support triage automation across approximately 70 Node.js and .NET microservices. Responsibilities include discovery, agent design, prompt and procedure development, cloud and connector configuration, testing, C# coding, GitHub workflow execution, risk-controlled Jira communication, documentation, training, and handoff. The role requires improving agent reliability through transcript analysis, enforcing least-privilege permissions, and collaborating with platform engineers and client architects.
7 Days AgoSaved
In-Office
San Salvador, SLV
Artificial Intelligence • Cloud • Machine Learning • Software
Lead multi-channel demand generation across paid, inbound, outbound, partner, and referral channels. Drive qualified pipeline, optimize conversion rates and channel ROI, manage attribution and reporting frameworks, and oversee MQL-to-SQL qualification. Lead and mentor Demand Generation, Inside Sales, and Growth teams while collaborating with Sales, Marketing, Revenue Operations, and Alliances. Use experimentation, analytics, CRM data, and automation to improve lead quality, pipeline performance, and website conversion.
9 Days AgoSaved
Hybrid
Louisville, KY, USA
Artificial Intelligence • Cloud • Machine Learning • Software
Own reliability and architecture for restaurant technology infrastructure across AWS, Azure, Kubernetes edge deployments, enterprise networks, MDM platforms, and CI/CD. Define SLOs and SLIs, lead incident response, improve observability and automation, manage Terraform infrastructure, integrate security into delivery pipelines, troubleshoot distributed systems, and mentor engineering teams. The role includes on-call coverage and hybrid onsite work in Louisville, Kentucky.
9 Days AgoSaved
In-Office
San Salvador, SLV
Artificial Intelligence • Cloud • Machine Learning • Software
Facilitates Agile ceremonies and coaches software development teams to improve collaboration, delivery predictability, and continuous improvement. Coordinates sprint commitments, resources, dependencies, risks, and impediments across Engineering, Product, QA, and DevOps. Monitors delivery metrics, supports backlog readiness, resolves conflicts, communicates status and capacity concerns, and promotes sustainable workloads and team accountability.
10 Days AgoSaved
In-Office
San Salvador, SLV
Artificial Intelligence • Cloud • Machine Learning • Software
Develop and execute consultative public-sector technology sales strategies across El Salvador and LATAM. Build relationships with government institutions and decision-makers, lead discovery workshops, translate institutional needs into digital transformation opportunities, and guide end-to-end sales cycles through negotiation and handoff. Develop conceptual solutions involving cloud, AI, data, integration, and cybersecurity; manage RFP processes, account plans, pipelines, forecasts, executive presentations, business cases, and CRM records. Regular government visits and approximately 5% regional travel are required.
10 Days AgoSaved
In-Office or Remote
Mexico City, Cuauhtémoc, Mexico City, MEX
Artificial Intelligence • Cloud • Machine Learning • Software
Own product requirements, prioritization, roadmaps, documentation, stakeholder alignment, and delivery support. Translate business needs into user stories, acceptance criteria, and functional requirements; identify gaps and edge cases; manage scope changes; collaborate with developers and QA; support UAT; and use AI tools to improve research and documentation.