Descripción de la vacante Remoto: Teletrabajo We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high-availability, high-throughput, low-latency production environments.
The ideal candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission-critical systems operating 24/7.
Experience: 5 years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.
Advanced AWS: ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.
Infrastructure as Code: Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi-environment deployments (Dev, QA, Integration, Prod).
Containerization: Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.
CI/CD: Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift-Left security practices.
Streaming & Data Infrastructure: Production experience with Kafka (AWS MSK), Aerospike, and Multi-AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.
Monitoring & Observability: Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.
Automation: Strong Python (boto3), Bash scripting, and AWS Lambda.
Security: Vulnerability management, system patching, credential protection, API key security, and least-privilege access.
Tools & Collaboration: Git, Pull Requests, Jira, Confluence, and AI-powered development tools.
Strong problem-solving skills, independent work capabilities, proactive communication, and data-driven decision-making.
Requisitos
- Experience: 5 years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.
- Advanced AWS: ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.
- Infrastructure as Code: Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi-environment deployments (Dev, QA, Integration, Prod).
- Containerization: Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.
- CI/CD: Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift-Left security practices.
- Streaming & Data Infrastructure: Production experience with Kafka (AWS MSK), Aerospike, and Multi-AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.
- Monitoring & Observability: Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.
- Automation: Strong Python (boto3), Bash scripting, and AWS Lambda.
- Security: Vulnerability management, system patching, credential protection, API key security, and least-privilege access.
- Tools & Collaboration: Git, Pull Requests, Jira, Confluence, and AI-powered development tools.
- Strong problem-solving skills, independent work capabilities, proactive communication, and data-driven decision-making.
Key Responsibilities
- Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
- Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.
- Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
- Operate and optimize streaming platforms, data infrastructure, and distributed systems.
- Implement monitoring, logging, alerting, and proactive incident resolution.
- Continuously optimize AWS costs through resource right-sizing, waste reduction, and cost-conscious architecture decisions.
- Automate operational processes using Python, Bash, and AWS Lambda.
- Strengthen infrastructure security, vulnerability management, and CI/CD security controls.
- Own infrastructure projects end-to-end, from design and deployment to documentation and ongoing support.
- Create clear technical documentation and step-by-step runbooks for first-level support teams.
- Manage infrastructure changes through reviewed Pull Requests using a single main branch.
- Use performance metrics, operational data, and cost analysis to guide technical decisions and advise leadership.
- Leverage AI tools to improve productivity while maintaining code quality and review standards.
Nice to Have
- Experience in AdTech or Real-Time Bidding (RTB) environments.
- AWS CloudFormation.
- Java development experience.
Requirements
Experience: 5 years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments. Advanced AWS: ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts. Infrastructure as Code: Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi-environment deployments (Dev, QA, Integration, Prod). Containerization: Docker, Dockerfiles, ECR image management, base images, and ECS task definitions. CI/CD: Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift-Left security practices. Streaming & Data Infrastructure: Production experience with Kafka (AWS MSK), Aerospike, and Multi-AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables. Monitoring & Observability: Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting. Automation: Strong Python (boto3), Bash scripting, and AWS Lambda. Security: Vulnerability management, system patching, credential protection, API key security, and least-privilege access. Tools & Collaboration: Git, Pull Requests, Jira, Confluence, and AI-powered development tools. Strong problem-solving skills, independent work capabilities, proactive communication, and data-driven decision-making.
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 Platform 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 : Versátil schedule with remote and office options.
📌 Senior Devops Engineer - Aws, Kubernetes & Ci/Cd (Remote) (Santa Fe)
🏢 Fudo
📍 Santa Fe