Location: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEngat, CI/CD, release execution, rollback, and environment consistency, primarily using Terraform and Git-based delivery practices.Lead the consolidation and improvement of observability across infrastructure and data workloads, linking alerts to operational evidence from Argo, dbt, Snowflake, and supporting runbooks.Improve alert routing and escalation workflows across tools such as Splunk, Opsgenie, PagerDuty, Microsoft Teams, and data-specific observability platforms.Lead or support major incident response, root-cause analysis, post-incident reviews, and corrective actions, with clear communication to technical and service stakeholders.Design and implement reliability improvements such as selective auto-remediation, dependency-aware alert correlation, impact analysis, and automation of repetitive operational work.Track and contribute to service metrics including availability, SLA compliance, alert volumes, workflow reliability, deployment outcomes, and mean time to restore service.Apply disciplined change-management, access-control, secrets-management, auditability, and documentation practices appropriate for a HIPAA-, GDPR-, and FDA-regulated environment.Create and maintain runbooks, operating procedures, architecture context, recovery procedures, and knowledge-transfer materials.Mentor Middle-level engineers, review technical work, improve team practices, and promote consistent execution across the distributed team.Participate in the Cloud / DevOps on-call rotation for critical incidents outside staffed service hours.PERKS AND BENEFITSProfessional growth : Mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation : USD-based pay with education, fitness, and team activity budgets.Exciting projects : Modern solutions with Fortune 500 and top product companies.Flextime : Adaptable schedule with remote and office options.Requirements6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or Site Reliability EngineeringDeep hands-on expertise with AWS production environments, including cloud architecture, security, networking fundamentals, access management, monitoring, capacity, and operational troubleshooting.Advanced experience with Kubernetes and Amazon EKS, including workload deployment, cluster and application troubleshooting, observability, scaling, upgrades, access, and reliability.Hands-on experience operating Argo Workflows or a comparable orchestration platform supporting production data workloads.Strong experience with Infrastructure as Code, preferably Terraform, and with source-controlled configuration, CI/CD, release automation, and rollback practices.Strong experience designing and operating observability, logging, monitoring, alerting,



and incident-routing solutions for distributed production platforms.Demonstrated ability to lead major incidents and cross-functional troubleshooting across infrastructure, applications, data pipelines, and analytics layers.Experience operating production platforms with defined service levels, escalation paths, runbooks, change controls, release processes, and on-call responsibilities.Strong working knowledge of modern data platforms, including Snowflake, S3-based data lakes, SQL, dbt, managed ingestion tools such as Fivetran or HVR, and custom data pipelines.Understanding of data quality, freshness, lineage, schema evolution, pipeline dependencies, backfills, and recovery procedures.Proficiency in Python, Shell, Bash, or comparable languages for automation and operational tooling.Ability to make well-reasoned architecture and operational decisions, communicate tradeoffs, estimate work, identify risks, and guide teams through change.Proven experience mentoring engineers, reviewing technical work, delegating ownership, and improving engineering processes across a distributed team.Strong stakeholder-management and communication skills, including the ability to collect requirements, explain technical risks, and present recommendations to client leaders.Strong written and verbal English communication skills.Availability to work t 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 Looks LikeSuccess in this role will be measured by your ability to:Deliver successful enterprise integrations and deployments.Reduce customer time-to-production.Build reliable and scalable ingestion solutions.Improve customer adoption and technical satisfaction.Resolve complex integration challenges efficiently.Turn customer-specific requirements into reusable platform capabilities.Contribute improvements that strengthen the scalability and flexibility of the core product.What Darwoft OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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📌 Senior Data Engineer, Cloud Data Platform (Córdoba)
🏢 Netrix Global
📍 Córdoba