AgileEngine is an Inc. 5000 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.
- Hands‑on experience administering and troubleshooting Argo Workflows or comparable workflow orchestration platforms.
- Strong Infrastructure as Code experience with Terraform and source‑controlled infrastructure practices.
- Experience building, hardening, and supporting CI/CD pipelines and production release processes.
- Strong experience with monitoring, logging, alerting, and incident‑routing tools such as Splunk, PagerDuty, Opsgenie, or comparable platforms.
- Demonstrated ability to lead complex incident resolution, perform root‑cause analysis, and translate findings into preventive improvements.
- Proficiency in automation and scripting using Python, Shell, Bash, or similar languages.
- Ability to make well‑reasoned technical decisions, identify tradeoffs, estimate work, and drive improvements across a complex platform.
- Experience mentoring engineers and collaborating effectively with Data Engineering, Security, Governance, Analytics, and business stakeholders.
- Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.
- Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed on‑call rotation.

NICE TO HAVES

- Experience supporting data‑platform infrastructure involving Snowflake, dbt, Fivetran, HVR, Tableau Cloud, or custom ingestion pipelines.
- Familiarity with data‑specific observability platforms such as SYNQ.
- Experience modernizing or migrating legacy orchestration and ingestion solutions such as Boomi or AWS Data Pipeline.
- Experience with service‑management and change‑control tools such as Freshservice and Jira.
- Experience operating in healthcare, life sciences, financial services, or another regulated environment.
- Familiarity with HIPAA, GDPR, FDA‑related controls, least‑privilege access, separation of duties, and audit‑ready operational practices.

WHAT YOU WILL DO

- Provide senior technical ownership for the Cloud / DevOps service tower during the LatAm coverage window, including day‑to‑day operations, complex troubleshooting, and L2/L3 escalation.
- Operate, maintain, and improve AWS infrastructure supporting the Data Platform, including Amazon EKS, S3, EventBridge, SQS, API Gateway, Lambda, and related services.
- Administer Kubernetes‑hosted workloads and Argo Workflows, including deployment, scheduling, monitoring, troubleshooting, capacity management, resiliency, and recovery.
- Define and improve standards for Infrastructure as Code, configuration management, CI/CD, release execution, rollback, and environment consistency, primarily using Terraform and Git‑based delivery practices.
- Lead the consolidation and improvement of observability across infrastructure and data workloads, linking alerts to operational evidence from Argo, dbt, Snowflake, and supporting runbooks.
- Improve alert routing and escalation workflows across tools such as Splunk, Opsgenie, PagerDuty, Microsoft Teams, and data‑specific observability platforms.
- Lead or support major incident response, root‑cause analysis, post‑incident reviews, and corrective actions, with clear communication to technical and service stakeholders.




- Design and implement reliability improvements such as selective auto‑remediation, dependency‑aware alert correlation, impact analysis, and automation of repetitive operational work.
- Track and contribute to service metrics including availability, SLA compliance, alert volumes, workflow reliability, deployment outcomes, and mean time to restore service.
- Apply disciplined change‑management, access‑control, secrets‑management, auditability, and documentation practices appropriate for a HIPAA-, GDPR-, and FDA‑regulated environment.
- Create and maintain runbooks, operating procedures, architecture context, recovery procedures, and knowledge‑transfer materials.
- Mentor Middle‑level engineers, review technical work, improve team practices, and promote consistent execution across the distributed team.
- Participate in the Cloud / DevOps on‑call 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 : Adaptable schedule with remote and office options.

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

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

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

Explore this and other opportunities at:

📌 Aws Devops Engineer (Rosario)
🏢 Domus Global
📍 Rosario