144L - DevOps Engineer (AWS/EKS/Terraform/CI/CD) · Senior · Remote · LATAM

1801 Haleon Argentina S.A.; Córdoba; Remote; COP 350,129,000 - 541,108,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior DevOps Engineer to design, automate, and operate a high-scale cloud platform for a cybersecurity product. You will work primarily with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability tools, partnering with software engineering, QA, security, and IT teams.

You’ll own production infrastructure, contribute to platform engineering, and advance automation, security, scalability, and cost efficiency, with a strong focus on reliability and developer

Qualifications

• 5–8+ years of experience in DevOps, Platform Engineering, or SRE roles.
• Strong hands-on production experience with AWS.
• Experience with Kubernetes clusters, ideally EKS.
• Advanced experience with Terraform and IaC.
• Experience with Docker and containerized environments.

Responsibilities

• Design, build, operate, and improve cloud infrastructure and deployment platform.
• Develop automation for infrastructure provisioning and deployment.
• Build CI/CD pipelines and improve release reliability.
• Improve observability, monitoring, and incident response.
• Collaborate with Security and Engineering teams on platform architecture.

Skills

AWS

Kubernetes

Terraform

Docker

CI/CD

Linux

Ansible

Python

Bash

Prometheus

Grafana

CloudWatch

OpenSearch/Elasticsearch

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

HashiCorp Nomad

HashiCorp Consul

Job description

144L - Senior DevOps Engineer (AWS/EKS/Terraform/CI/CD) · Remote · LATAM Location: Anywhere in LATAM Work Model: 100% Remote Engagement: Full-time Contractor Payment: USD

Get to Know Darwoft

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.

About the Project

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.

About the Role

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.

What You'll Be Doing

• Design, build, and operate highly available and scalable cloud infrastructure primarily on AWS .
• Build and maintain Infrastructure as Code using Terraform .
• Deploy, manage, scale, and troubleshoot workloads running on Kubernetes , particularly Amazon EKS .
• Develop automation for infrastructure provisioning, environment configuration, and application deployment.
• Build and maintain reliable CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI .
• Improve deployment processes, release reliability, and developer experience across engineering teams.
• Manage containerized applications using Docker and Kubernetes .
• Design and improve observability across infrastructure and applications.
• Implement monitoring, dashboards, alerts, and centralized logging using technologies such as: Prometheus Grafana AWS CloudWatch OpenSearch / Elasticsearch ELK.
• Participate in production incident response, troubleshooting, mitigation, and root cause analysis .
• Identify recurring operational issues and automate their resolution.
• Implement AWS and Kubernetes security best practices.
• Collaborate with Security teams to strengthen infrastructure security and support compliance initiatives.
• Improve platform resilience, high availability, scalability, and disaster recovery capabilities.
• Optimize AWS resource utilization and contribute to cloud cost optimization and FinOps initiatives .
• Automate operating system and infrastructure configuration using Ansible or similar tools .
• Develop operational tooling and automation using Python and Bash .
• Collaborate with Engineering teams on platform architecture and deployment strategies.
• Continuously evaluate new DevOps, cloud, Kubernetes, observability, and platform engineering technologies.

What You Bring

• 5–8+ years of experience working in DevOps, Platform Engineering, Site Reliability Engineering, Cloud Engineering, or similar roles.
• Strong hands‑on production experience with AWS .
• Strong experience managing Kubernetes clusters , ideally Amazon EKS .
• Advanced experience with Terraform and Infrastructure as Code.
• Strong experience with Docker and containerized environments .
• Hands‑on experience building and maintaining CI/CD pipelines with: GitHub Actions Jenkins GitLab CI or similar platforms
• Strong Linux administration skills.
• Experience with configuration management tools such as Ansible .
• Good scripting and automation capabilities with: Python Bash
• Experience implementing observability using technologies such as: Prometheus Grafana CloudWatch OpenSearch / Elasticsearch ELK
• Strong understanding of networking concepts including: VPCs Subnets Load Balancers DNS VPNs Firewalls Routing Security Groups
• Experience troubleshooting complex distributed systems and production environments.
• Solid understanding of cloud security and infrastructure security best practices.
• Experience supporting highly available, production‑grade cloud environments.
• Strong communication skills and ability to collaborate with engineering, security, QA, and business stakeholders.
• High degree of autonomy, ownership, and analytical problem‑solving ability.
• Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, or a related technical discipline, or equivalent professional experience.

Core Technology Stack

• AWS
• Kubernetes / EKS
• Docker
• Terraform
• Ansible
• GitHub Actions
• Jenkins
• Linux
• Python
• Bash
• Prometheus
• Grafana
• CloudWatch
• OpenSearch / Elasticsearch

Nice to Have

• Experience with HashiCorp Nomad .
• Experience with HashiCorp Consul .
• Broader experience with the HashiCorp ecosystem.
• Experience operating Kafka in production.
• Experience supporting data infrastructure based on: ClickHouse Elasticsearch MongoDB Redis
• Experience with distributed systems and high-volume data platforms.
• Previous experience in cybersecurity, identity security, or security SaaS platforms .
• Experience working with cloud security controls and compliance frameworks.
• Experience with FinOps and cloud cost optimization .
• Experience designing internal developer platforms or platform engineering capabilities.
• Exposure to infrastructure supporting AI/ML or LLM-based applications .

What Success Looks Like

• Increasing infrastructure reliability and availability.
• Reducing deployment friction and improving engineering velocity.
• Increasing infrastructure automation and reducing manual operational work.
• Improving observability and reducing mean time to detection and resolution.
• Operating Kubernetes workloads reliably at scale.
• Strengthening security throughout cloud infrastructure and deployment processes.
• Improving AWS cost efficiency without compromising reliability.
• Contributing reusable platform capabilities that allow engineering teams to move faster.
• Continuously improving production readiness as the platform scales.

What Darwoft Offers

• Contractor agreement with payment in USD
• 100% remote work
• Argentina's public holidays
• English classes
• Referral program
• Access to learning platforms

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