Senior Aws Devops

Epam Systems Inc; Buenos Aires; Remote; ARS 185.448.000 - 278.173.000; Vollzeit

Benefits dieser Stelle

Contractor payment in USD

100% remote work

LATAM-focused team flexibility

Zusammenfassung

Darwoft is seeking a Senior DevOps Engineer to design, automate, and operate a scalable cloud platform for a cybersecurity product. You will work with AWS, Kubernetes/EKS, Terraform, Docker, and CI/CD, ensuring reliability and security.

You’ll collaborate with software engineers, QA, and security teams across LATAM, maintaining observability, security best practices, and cost efficiency while delivering fast, high-quality deployments in a fully remote setup.

Qualifikationen

• 5–8+ years of experience in DevOps/Platform Engineering or similar roles.
• Strong hands-on production experience with AWS.
• Experience managing Kubernetes clusters, ideally Amazon EKS.

Aufgaben

• Design, build, and operate scalable cloud infrastructure on AWS.
• Develop IaC using Terraform and manage CI/CD pipelines.
• Maintain observability with Prometheus, Grafana, and CloudWatch.
• Collaborate with engineering, security, and QA teams to improve platform reliability.

Kenntnisse

Cloud experience

Kubernetes

CI/CD

Linux administration

Ausbildung

Bachelor's degree in CS / SE

Tools

AWS

Kubernetes

Terraform

Docker

GitHub Actions

Jenkins

GitLab CI

Linux

Python

Bash

Prometheus

Grafana

CloudWatch

OpenSearch/Elasticsearch

ELK

Ansible

Jobbeschreibung

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
• Project: Identity Security / Cybersecurity Platform
• Seniority: Senior

• Location: Anywhere in LATAM
• Work Model: 100% Remote
• Engagement: Full-time Contractor
• Payment: USD
• Project: Identity Security / Cybersecurity Platform
• Seniority: Senior
• English Level: B2 / C1

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

You'll work with technologies including:

• 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