The Role:

We are looking for an Infrastructure / DevOps Engineer to join our Cloud Platform Engineering Team.

Responsibilities:

- Kubernetes Administration: Deploy, manage, scale, and troubleshoot workloads on Kubernetes, initially using Google Kubernetes Engine (GKE), with Helm and Kustomize.
- Infrastructure as Code: Build modular and cloud-agnostic infrastructure using Terraform, enabling consistent deployments across GCP, other public clouds, and on-premise environments.
- CI/CD Pipeline Ownership: Design, maintain, and optimize reusable GitHub Actions workflows for automated testing, containerization, and deployment.
- Manage container images and deployment workflows using GitHub Container Registry (GHCR).
- IAM & Platform Deployment: Deploy, operate, and scale highly available Keycloak clusters.
- Configure GitHub Workload Identity Federation (OIDC) to provide GitHub Actions with secure, keyless access to GCP resources.
- Implement and maintain secure secrets management practices.
- Collaborate with technical leadership to evaluate and improve deployment strategies, including traditional CI/CD and GitOps approaches using tools such as ArgoCD or Flux.
- Contribute to the reliability, scalability, security, and portability of the overall cloud platform.

Requirements:

- Advanced hands-on experience managing production Kubernetes environments, including container networking.
- Strong proficiency with Terraform, Helm, and Infrastructure as Code (IaC) methodologies.
- Deep experience designing and maintaining deployment pipelines using GitHub Actions.
- Experience working with GitHub Container Registry (GHCR).
- Experience deploying and maintaining production Keycloak/IAM environments.
- Strong understanding of OIDC, identity management, authentication, and authorization concepts.
- Experience with secrets management and cloud security best practices.
- Experience working with GCP/GKE and an understanding of multi-cloud or cloud-agnostic infrastructure approaches.
- Strong understanding of containerized environments, deployment automation, and system reliability

Core Tech Stack

Kubernetes (GKE) | Terraform | Helm | Kustomize | GitHub Actions | GHCR | GCP | Multi-Cloud | Keycloak | OIDC | IaC | ArgoCD / Flux

WHY JOIN US

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.

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.

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: Versátil schedule with remote and office options.

Requirements

- 6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or Site Reliability Engineering
- Deep hands-on expertise with AWS production environments, including cloud architecture, security, networking fundamentals, access management, monitoring, capacity, and operational troubleshooting
- Advanced experience with Kubernetes and Amazon EKS, including workload deployment, cluster and application troubleshooting, observability, scaling, upgrades, access, and reliability
- Hands-on experience operating Argo Workflows or a comparable orchestration platform supporting production data workloads
- Strong experience with Infrastructure as Code, preferably Terraform, and with source-controlled configuration, CI/CD, release automation, and rollback practices
- Strong experience designing and operating observability, logging, monitoring, alerting, and incident-routing solutions for distributed production platforms
- Demonstrated ability to lead major incidents and cross-functional troubleshooting across infrastructure, applications, data pipelines, and analytics layers
- Experience operating production platforms with defined service levels, escalation paths, runbooks, change controls, release processes, and on-call responsibilities
- Strong working knowledge of modern data platforms, including Snowflake, S3-based data lakes, SQL, dbt, managed ingestion tools such as Fivetran or HVR, and custom data pipelines
- Understanding of data quality, freshness, lineage, schema evolution, pipeline dependencies, backfills, and recovery procedures
- Proficiency in Python, Shell, Bash, or comparable languages for automation and operational tooling
- Ability to make well-reasoned architecture and operational decisions, communicate tradeoffs, estimate work, identify risks, and guide teams through change
- Proven experience mentoring engineers, reviewing technical work, delegating ownership, and improving engineering processes across a distributed team
- Strong stakeholder-management and communication skills, including the ability to collect requirements, explain technical risks, and present recommendations to client leaders
- Strong written and verbal English communication skills
- Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed senior escalation and on-call rotation

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

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
- 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 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:

📌 Devops Engineer - Infra Automation & Secure Deployments (Mendoza)
🏢 Bigmedia
📍 Mendoza