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Location: Anywhere in LATAM
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Work Model: 100% Remote
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Engagement: Full-time Contractor
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Payment: USD
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Project: Identity Security / Cybersecurity Platform
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Seniority: Senior
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English Level: B2 / C1
At 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.
We are partnering with an innovative cybersecurity company developing a modern Identity Security and Identity Observability platform.
The product enables enterprise security teams to monitor identity activity, identify security gaps, detect suspicious behavior, and reduce identity-related risks across cloud, SaaS, network, and on-premise environments.
Its architecture relies heavily on distributed systems, real-time data processing, cloud-native infrastructure, advanced analytics, and an increasingly AI-driven security roadmap.
As the platform continues to scale, infrastructure reliability, automation, observability, security, and developer productivity are critical engineering priorities.
We're looking for a Senior DevOps Engineer to design, automate, operate, and continuously improve the cloud infrastructure and deployment platform supporting a high-scale cybersecurity product.
You'll work primarily with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability technologies, partnering closely with Software Engineering, QA, Security, and IT teams.
This role goes beyond maintaining infrastructure. You'll actively contribute to platform engineering, helping engineers ship software faster and more reliably while improving automation, security, operational visibility, scalability, and cloud cost efficiency.
You'll have a high degree of ownership over production infrastructure and participate directly in architectural decisions, incident resolution, platform improvements, and DevOps best practices.
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Design, build, and operate highly available and scalable cloud infrastructure primarily on AWS.
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Build and maintain Infrastructure as Code using Terraform.
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Deploy, manage, scale, and troubleshoot workloads running on Kubernetes, particularly Amazon EKS.
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Develop automation for infrastructure provisioning, environment configuration, and application deployment.
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Build and maintain reliable CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI.
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Improve deployment processes, release reliability, and developer experience across engineering teams.
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Manage containerized applications using Docker and Kubernetes.
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Design and improve observability across infrastructure and applications.
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Implement monitoring, dashboards, alerts, and centralized logging using technologies such as:
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Prometheus
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Grafana
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AWS CloudWatch
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OpenSearch / Elasticsearch
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ELK
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Participate in production incident response, troubleshooting, mitigation, and root cause analysis.
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Identify recurring operational issues and automate their resolution.
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Implement AWS and Kubernetes security best practices.
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Collaborate with Security teams to strengthen infrastructure security and support compliance initiatives.
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Improve platform resilience, high availability, scalability, and disaster recovery capabilities.
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Optimize AWS resource utilization and contribute to cloud cost optimization and FinOps initiatives.
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Automate operating system and infrastructure configuration using Ansible or similar tools.
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Develop operational tooling and automation using Python and Bash.
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Collaborate with Engineering teams on platform architecture and deployment strategies.
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Continuously evaluate new DevOps, cloud, Kubernetes, observability, and platform engineering technologies.
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5–8+ years of experience working in DevOps, Platform Engineering, Site Reliability Engineering, Cloud Engineering, or similar roles.
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Strong hands-on production experience with AWS.
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Strong experience managing Kubernetes clusters, ideally Amazon EKS.
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Advanced experience with Terraform and Infrastructure as Code.
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Strong experience with Docker and containerized environments.
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Hands-on experience building and maintaining CI/CD pipelines with:
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GitHub Actions
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Jenkins
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GitLab CI
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or similar platforms
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Strong Linux administration skills.
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Experience with configuration management tools such as Ansible.
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Good scripting and automation capabilities with:
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Experience implementing observability using technologies such as:
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Prometheus
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Grafana
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CloudWatch
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OpenSearch / Elasticsearch
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ELK
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Strong understanding of networking concepts including:
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VPCs
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Subnets
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Load Balancers
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DNS
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VPNs
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Firewalls
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Routing
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Security Groups
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Experience troubleshooting complex distributed systems and production environments.
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Solid understanding of cloud security and infrastructure security best practices.
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Experience supporting highly available, production-grade cloud environments.
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Strong communication skills and ability to collaborate with engineering, security, QA, and business stakeholders.
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High degree of autonomy, ownership, and analytical problem-solving ability.
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Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, or a related technical discipline, or equivalent professional experience.
You'll work with technologies including:
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AWS
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Kubernetes / EKS
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Docker
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Terraform
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Ansible
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GitHub Actions
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Jenkins
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Linux
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Python
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Bash
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Prometheus
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Grafana
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CloudWatch
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OpenSearch / Elasticsearch
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Experience with HashiCorp Nomad.
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Experience with HashiCorp Consul.
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Broader experience with the HashiCorp ecosystem.
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Experience operating Kafka in production.
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Experience supporting data infrastructure based on:
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ClickHouse
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Elasticsearch
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MongoDB
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Redis
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Experience with distributed systems and high-volume data platforms.
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Previous experience in cybersecurity, identity security, or security SaaS platforms.
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Experience working with cloud security controls and compliance frameworks.
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Experience with FinOps and cloud cost optimization.
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Experience designing internal developer platforms or platform engineering capabilities.
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Exposure to infrastructure supporting AI/ML or LLM-based applications.
Success in this role means:
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Increasing infrastructure reliability and availability.
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Reducing deployment friction and improving engineering velocity.
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Increasing infrastructure automation and reducing manual operational work.
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Improving observability and reducing mean time to detection and resolution.
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Operating Kubernetes workloads reliably at scale.
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Strengthening security throughout cloud infrastructure and deployment processes.
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Improving AWS cost efficiency without compromising reliability.
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Contributing reusable platform capabilities that allow engineering teams to move faster.
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Continuously improving production readiness as the platform scales.
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Contractor agreement with payment in USD
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100% remote work
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Argentina's public holidays
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English classes
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Referral program
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Access to learning platforms
www.darwoft.com/careers
