Senior Devops Engineer — 100% Remote (Aws/Eks/Terraform)

Pearster; Buenos Aires; Remote; ARS 2,000,000 - 4,000,000; Full time

Job summary

Pearster is seeking a Senior DevOps Engineer to design and operate scalable AWS infrastructure and CI/CD pipelines in a 24/7 production environment.

The role emphasizes high availability, security, cost efficiency, and collaboration with cross-functional teams to deliver reliable services at scale.

The candidate brings 5+ years in DevOps/SRE, strong Terraform and Kubernetes skills, and hands-on experience with data streaming, monitoring, and automation.

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 and data infrastructure.
• Implement monitoring, logging, alerting, and incident response processes.
• Continuously optimize AWS costs through right-sizing and architecture choices.
• Automate operational processes with Python, Bash, and AWS Lambda.
• Strengthen infrastructure security and CI/CD security controls.
• Own infrastructure projects end-to-end and produce runbooks for support teams.

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.

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.