Senior/Staff Software Engineer (AI-Native/Claude Code/Codex) · LATAM
Location: Anywhere in LATAM
Job Type: 100% Remote
Engagement: Full-time Contractor
Payment: USD
Project: AI-Native LegalTech / M&A; SaaS Platform
Seniority: Senior / Staff
English Level: B2 / 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
Success in this role means:
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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