Senior Devops Engineer — Aws & Kubernetes (Remote)

Bairesdev

Quilmes

A distancia

ARS 184.482.000 - 276.723.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive compensation
Exciting projects
Flextime

Descripción de la vacante

AgileEngine is seeking a Senior/Lead DevOps Engineer to deploy and operationalize a Kubernetes-based cloud environment on AWS for a short-term project. You will design scalable infrastructure, manage container workloads, and drive CI/CD pipelines while ensuring security and reliability across 24/7 operations.

The role emphasizes Terraform, Kubernetes (EKS/Helm), Argo CD, and data infrastructure with Kafka/Aerospike, plus focus on cost efficiency and automation.

Formación

  • 5+ years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.
  • Advanced AWS experience with ECS/Fargate, ALB/NLB, VPC, Route 53, IAM, and more.
  • Infrastructure as Code with Terraform, reusable modules, multi-environment deployments.
  • Containerization with Docker and ECS task definitions; image management.
  • Strong CI/CD discipline using Jenkins, Groovy, and Jenkinsfiles; Shift-Left security.
  • Proficient in Kubernetes tooling: EKS, Helm, Argo CD; GitOps practices.
  • Experience with Kafka/Aerospike data stacks, streaming and analytics workflows.
  • Monitoring/observability with Prometheus, Grafana; CloudWatch, OpenSearch.

Responsabilidades

  • Design, deploy, and maintain scalable AWS infrastructure with high availability.
  • Manage container workloads using Kubernetes platforms and autoscaling.
  • Develop reusable Terraform modules and CI/CD pipelines (Jenkins/Groovy).
  • Operate streaming data platforms and data infrastructure (Kafka, EMR, Airflow).
  • Implement monitoring, logging, alerting, and incident response procedures.
  • Automate operational tasks with Python, Bash, and AWS Lambda.
  • Strengthen security controls and perform cost-conscious architectural decisions.
  • Own infrastructure projects end-to-end from design to support.

Conocimientos

Kubernetes
AWS
Terraform
CI/CD
Docker
Python
Git/GitLab
Prometheus
Grafana
Argo CD
EKS
Helm
Terraform modules
Jenkins

Herramientas

GitLab CI/CD
Terraform
Jenkins
Docker
Kubernetes
Argo CD

Descripción del empleo

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.

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.

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.

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.

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/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.

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