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We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLEWe are looking for a Senior Cloud/DevOps Engineer to operate and improve the cloud infrastructure and reliability layers behind an enterprise data platform in a regulated healthcare environment.The mandatory requirements are 5+ years of experience in Cloud Engineering, DevOps, or Site Reliability Engineering, advanced hands‐on experience with AWS EKS and Kubernetes, experience administering and troubleshooting Argo Workflows , and strong English communication skills.MUST HAVES5+ years of professional experience in Cloud Engineering, DevOps or Site Reliability Engineering.Strong hands‐on experience operating AWS infrastructure in production environments.Advanced experience with Kubernetes and Amazon EKS , including workload operations, troubleshooting, access, observability, capacity, and reliability.Hands‐on experience administering and troubleshooting Argo Workflows or comparable workflow orchestration platforms.Strong Infrastructure as Code experience with Terraform and source‐controlled infrastructure practices.Experience building, hardening, and supporting CI/CD pipelines and production release processes.Strong experience with monitoring, logging, alerting, and incident‐routing tools such as Splunk, PagerDuty, Opsgenie, or comparable platforms.Demonstrated ability to lead complex incident resolution, perform root‐cause analysis, and translate findings into preventive improvements.Proficiency in automation and scripting using Python, Shell, Bash, or similar languages.Ability to make well‐reasoned technical decisions, identify tradeoffs, estimate work, and drive improvements across a complex platform.Experience mentoring engineers and collaborating effectively with Data Engineering, Security, Governance, Analytics, and business stakeholders.Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed on‐call rotation.NICE TO HAVESExperience supporting data‐platform infrastructure involving Snowflake, dbt, Fivetran, HVR, Tableau Cloud, or custom ingestion pipelines.Familiarity with data‐specific observability platforms such as SYNQ.Experience modernizing or migrating legacy orchestration and ingestion solutions such as Boomi or AWS Data Pipeline.Experience with service‐management and change‐control tools such as Freshservice and Jira.Experience operating in healthcare, life sciences, financial services, or another regulated environment.Familiarity with HIPAA, GDPR, FDA‐related controls, least‐privilege access, separation of duties, and audit‐ready operational practices.WHAT YOU WILL DOProvide senior technical ownership for the Cloud / DevOps service tower during the LatAm coverage window, including day‐to‐day operations, complex troubleshooting, and L2/L3 escalation.Operate, maintain, and improve AWS infrastructure supporting the Data Platform, including Amazon EKS, S3, EventBridge, SQS, API Gateway, Lambda, and related services.Administer Kubernetes‐hosted workloads and Argo Workflows, including deployment, scheduling, monitoring, troubleshooting, capacity management, resiliency, and recovery.Define and improve standards for Infrastructure as Code, configuration management, 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.Requirements• 6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or Site Reliability Engineering • Deep 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 within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed senior escalation and on‐call rotation.Location: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEngagement: Full-timeLocation: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEnglish Level: B2 / C1Engagement: Full-timeGet to Know DarwoftAt Darwoft, we build custom software solutions and partner with international companies to create high‐impact digital products.We are a Latin American technology company with a people‐first culture, strong professional standards, and a long‐term partnership mindset.
We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.About the ProjectWe are partnering with an innovative cybersecurity company building a next‐generation Identity Security and Identity Observability platform .
The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI‐driven identities access systems across cloud, SaaS, network, endpoint, and on‐premise environments .
At the core of the platform is a highly data‐intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals .
This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.About the RoleWe're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.This is not a traditional backend or internal data engineering position.You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time‐to‐production.What You'll Be DoingDesign, develop,



and maintain production‐grade data collectors, connectors, and ingestion services .
Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems .
Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high‐volume data 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:Identity and Access Management (IAM )Identity Providers (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 platformsExplore this and other opportunities at:
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📌 Azure Cloud Support Engineer & Incident Response (Neuquén)
🏢 Atmosera
📍 Neuquén