Senior Devops Engineer - Aws, Kubernetes & Ci/Cd (Remote)

Fudo; Buenos Aires; Remote; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Remote options

Team budgets

Job summary

Fudo is hiring a Senior DevOps Engineer to strengthen our cloud infrastructure and reliability layers. You will lead AWS-based architecture, container orchestration with Kubernetes, and scalable CI/CD pipelines across development to production.

The role emphasizes security, cost efficiency, and 24/7 reliability. Ideal candidates have 5+ years in DevOps/SRE, deep AWS expertise, Terraform mastery, and hands-on experience with streaming/data tools.

Qualifications

• 5+ years in DevOps, SRE, or Platform Engineering supporting 24/7 production environments.
• Advanced AWS experience across ECS/Fargate, ALB/NLB, VPC, Route 53, IAM, KMS, and CloudTrail.
• Strong Terraform expertise with multi-environment deployments and remote state.
• Hands-on Kubernetes/EKS operations, containerization with Docker, and CI/CD pipelines.
• Proficient Python scripting for automation and secure API interactions.

Responsibilities

• Design, deploy, and maintain scalable, secure AWS infrastructure.
• Manage containerized workloads with ECS/Fargate and autoscaling.
• Build reusable Terraform modules and maintain CI/CD pipelines.
• Operate streaming/data platforms and distributed systems with observability.
• Implement monitoring, logging, alerting, and incident response processes.
• Optimize costs and enforce security best practices across environments.
• Automate operations with Python, Bash, and AWS Lambda.
• Own changes end-to-end from design through documentation and support.

Skills

AWS expert

CI/CD pipelines

Terraform

Kubernetes

Python scripting

Security & IAM

Tools

Jira

Confluence

Git

Docker

Job description

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 : Flexible schedule with remote and office options.