AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
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 US
If 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 ROLE
We 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 HAVES
- 5+ 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.
- Hane 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 rotation for critical incidents outside staffed service hours.
PERKS AND BENEFITS
- Professional 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 : Versátil schedule with remote and office options.
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📌 Senior Devops Engineer – Remote (Aws, Kubernetes) (Buenos Aires)
🏢 Flux It
📍 Buenos Aires