Senior Cloud Devops Engineer: Aws Eks & Terraform | Remote
Flux It
A complete application in a minute
Tailored resume and cover letter, ready to send.
Benefits offered by this job
Job summary
AgileEngine is seeking a Senior Cloud/DevOps Engineer to operate and improve the cloud infrastructure behind a regulated healthcare data platform. You will own the Cloud/DevOps service tower for LatAm, manage AWS infrastructure (EKS, S3, EventBridge, etc.), and lead incident resolution and observability improvements.
You should have 5+ years in Cloud/DevOps/SRE, strong Kubernetes/EKS experience, Argo Workflows expertise, and Terraform IaC skills.
Qualifications
- 5+ years of Cloud Engineering/DevOps/SRE experience.
- Hands-on AWS production experience.
- Advanced Kubernetes and EKS experience.
- Experience with Argo Workflows or similar workflows.
- Infrastructure as Code with Terraform.
- CI/CD pipelines and production release experience.
- Strong monitoring, logging, and incident-routing skills.
- Excellent written and spoken English.
Responsibilities
- Own Cloud/DevOps service tower during LatAm hours with ops and escalations.
- Operate and improve AWS data platform infrastructure (EKS, S3, etc.).
- Administer Kubernetes workloads and Argo Workflows; ensure reliability.
- Define IaC, CI/CD standards; manage releases and rollback.
- Improve observability; link alerts to runbooks.
- Lead incident response and RCA with stakeholder communications.
- Design reliability improvements and auto-remediation.
- Track service metrics and SLA compliance.
Skills
Education
Tools
Job description
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.
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.
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.
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 : Flexible schedule with remote and office options.
Job Description
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.
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.
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.
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 : Flexible schedule with remote and office options.
Requirements
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.
- 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
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 ProjectWe 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 RoleWe'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.
- 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.
You'll work with technologies including:
- AWS
- Kubernetes / EKS
- Docker
- Terraform
- Ansible
- GitHub Actions
- Jenkins
- Linux
- Python
- Bash
- Prometheus
- Grafana
- CloudWatch
- OpenSearch / Elasticsearch
- 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 .
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.
- Contractor agreement with payment in USD
- 100% remote work
- Argentina's public holidays
- English classes
- Referral program
- Access to learning platforms
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
