We are looking for a Senior DevOps Engineerwith strong expertise in AWS, infrastructure automation, CI/CD, and managing high-availability, high-throughput, low-latency production environments.

The adecuado 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.

Job Description
We are looking for a Senior DevOps Engineerwith 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.

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.

RequirementsExperience: 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.

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/Lead DevOps Engineer to deploy and operationalize a new Kubernetes-based cloud environment on AWS for a short-term project.

MUST HAVES

- 5+ years of DevOps, SRE, Platform Engineering, or Cloud Engineering experience.

- 4+ years supporting Kubernetes in production environments.

- Demonstrated experience deploying and operating AWS-hosted applications.

- Experience leading technical implementation efforts with minimal supervision.

- Strong troubleshooting and root-cause analysis skills.

- Strong experience with Kubernetes, EKS, and Helm.

- Strong experience with Argo CD and Service Mesh technologies.

- Strong experience with ingress controllers, container networking, storage and persistence, and cluster operations and upgrades.

- Strong experience with AWS services, including VPC, EC2, EKS, IAM, Route 53, ALB/NLB, RDS, CloudWatch, S3, Secrets Manager, and Systems Manager Parameter Store.

- Experience with GitLab, GitLab CI/CD, GitOps workflows, Infrastructure as Code, and Terraform.

- Experience with Bash, Python, or Go.

NICE TO HAVES

- Experience with one or more of the following CNCF ecosystem technologies: Cilium, Hubble, Prometheus, Grafana, Fluent Bit, OpenTelemetry, Karpenter, Crossplane, Kyverno, Tetragon, ExternalDNS, and cert-manager.

- Experience with Backstage, Internal Developer Platforms, Self-Service Infrastructure, Golden Path Engineering, and Environment Automation.

- Experience migrating applications from on-premises environments to cloud-hosted Kubernetes.

- Experience supporting healthcare, medical device, HIPAA, or regulated environments.

- Experience integrating acquired company technology stacks into enterprise cloud platforms.

- Experience documenting operational procedures and performing technical knowledge transfer.

WHAT YOU WILL DO





- Lead deployment of a new cloud environment within AWS or other Cloud provider.

- Ensure deployment follows security, reliability, and operational best practices.

- Partner with application, infrastructure, security, and operations teams throughout the implementation.

- Deploy and manage workloads running on Kubernetes platforms.

- Troubleshoot cluster, networking, ingress, storage, and workload issues.

- Support application modernization and containerization efforts where needed.

- Implement platform standards and operational guardrails.

- Design and enhance GitLab CI/CD pipelines.

- Implement deployment automation and release workflows.

- Establish GitOps deployment patterns using tools such as Argo CD.

- Improve traceability, repeatability, and deployment reliability.

- Develop and maintain infrastructure using Terraform and related tooling.

- Reduce manual deployment activities through automation.

- Configure platform monitoring, logging, alerting, and dashboards.

- Support production readiness reviews and operational runbooks.

- Establish reliability practices and incident response procedures.

- Identify bottlenecks and performance issues across cloud and Kubernetes environments.

- Evaluate existing deployment practices and operational processes.

- Document platform architecture, deployment procedures, and operational support requirements.

- Produce runbooks and knowledge-transfer documentation for support teams.

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.

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 Engineerto 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+ yearsof professional experience in Cloud Engineering, DevOps or Site Reliability Engineering.

- Strong hands-on experience operating AWS infrastructurein 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 Workflowsor comparable workflow orchestration platforms.

- Strong Infrastructure as Code experience with Terraformand 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.

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📌 Senior Devops Engineer — 100% Remote (Aws/Eks/Terraform) (Buenos Aires)
🏢 Pearster
📍 Buenos Aires