Centralized Monitoring Lead in LATAM (Remote)
Buenos Aires, ArgentinaMexico City, MexicoSantiago, ChileLima, PeruSão Paulo, BrazilBogota, ColombiaFull timeR
**Job Overview**The Leader of the Centralized Monitoring team, partner with the project and clinical lead to achieve the delivery of the project's overall objectives to the spons 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 pipelines, connector frameworks, integration platforms, or similar systems .
Experience integrating complex enterprise systems and third‐party platforms.Solid understanding of both SQL and NoSQL databases .
Production experience with at least one major cloud platform:AWSAzureGCPExperience working with Docker and Kubernetes .
Strong understanding of Git-based development workflows and CI/CD practices .
Experience designing reliable, scalable, and production-ready distributed systems.Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.Experience working directly with customers, stakeholders, or technical partners.Ability to translate complex customer requirements into pragmatic technical solutions.Strong communication skills and the ability to operate effectively in customer‐facing technical conversations.High degree of autonomy and ownership when solving ambiguous technical problems.Highly Relevant ExperienceExperience with any of the following will be especially valuable:IAM IdPs Identity SecurityCybersecurity platformsSIEM systemsSecurity telemetryNetwork securityEndpoint securitySASE / Zero Trust environmentsCloud securityLarge-scale event processingStreaming architecturesIntegration ExperiencePrevious experience integrating APIs or data from platforms such as the following is highly valuable:AWSMicrosoft AzureGoogle CloudMicrosoft Entra ID / Active DirectoryOktaGoogle WorkspaceDuoCrowdStrikeZscalerPalo AltoMicrosoft DefenderSIEM and security analytics platformsDirect experience with every platform is not required.
What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.Nice to HaveExperience with large-scale data processing or streaming platforms.Experience designing reusable connector SDKs or integration frameworks .
Understanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non-human identities.
Experience with security events, audit logs, network telemetry, or cloud activity data.
Familiarity with event-driven and distributed system architectures.
Experience deploying AI/ML-enabled applications.
Exposure to LLMs, AI agents, or AI-powered security applications .
Solution Architecture or Forward Deployed Engineering experience.
Previous experience in cybersecurity startups or high-growth SaaS environments.What Success L shared goal of helping customers improve the lives of patients everywhere.
Thank you for your interest in growing your career with us.EEO Minorities/Females/Protected Veterans/Disabled
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