Senior Cloud DevOps Engineer - OPS00062

Buenos Aires
Permanente
Tiempo completo

Hace 3 días
Postúlese fácilmente

🟢 At , we work on projects that impact millions of people around the world — but we know it’s the people behind the tech who make it all happen. We truly value what makes each person unique and are building a workplace that’s inclusive, friendly, and supportive.About this opportunityWe invite a Cloud DevOps Engineer to join our team, codifying infrastructure patterns and driving adoption of automation, self-service, and Infrastructure-as-Code across the organization. In this role, you’ll design, build, and operate the cloud foundations that our data scientists, ML engineers, and data engineers rely on every day. You'll leverage your expertise to scale and maintain the AWS infrastructure and DevOps toolchains powering our data science platforms.What's in it for you

Thrive in a hands-on role building and scaling AWS infrastructure for cutting-edge data science and ML platforms
Design, automate, and optimize environments with Terraform, CloudFormation, Docker, Kubernetes, and modern DevOps tools
Drive enterprise security and compliance to protect data and ensure platform reliability

🧩 Key responsibilities and your contributionIn this role, you’ll design and manage cloud infrastructure while supporting secure, reliable, and automated workflows for data and ML teams.

Design and optimize AWS environments for data science and ML workloads
Own IAM architecture, security, and compliance; enforce least-privilege access and perform risk assessments
Implement high-availability and disaster recovery solutions for critical analytics platforms
Optimize cloud costs; manage networking capabilities for data platforms (API gateways, CDNs, ALBs, TLS, WAFs)
Build and maintain CI/CD pipelines, IaC, automated testing, monitoring/logging systems
Automate provisioning, configuration, and deployments
Provide self-service tools for reliable, reproducible R&D environments
Support secure handling of sensitive financial data in cloud environments
Work with data and ML teams to unblock workflows; advise on AWS architecture, performance, and production readiness
Drive Kanban, automation, continuous improvement, and Everything-as-a-Service practices
Prioritize internal customer experience and reduce toil through automation

✅ Is that you?

8+ years in cloud operations, DevOps, SRE, or platform engineering, designing scalable, highly available cloud infrastructure
Strong AWS skills, including core services like EC2, ECS/EKS, S3, VPC, IAM, Lambda
Hands-on experience with IaC tools (Terraform, CloudFormation)
Strong Python and Bash scripting skills
Strong knowledge of modern authentication and authorization technologies (IAM, OIDC, OAuth2, RBAC, ABAC, PAM, JIT, PKI)
Experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, ArgoCD)
Familiarity with containerization and orchestration (Docker, EKS/Kubernetes, ECS)
Experience supporting data-intensive or ML workloads
Bachelor’s degree in a STEM field
Upper-Intermediate English level

✅ Nice to have

Experience in financial services or regulated industries
Understanding of networking, VPC architecture, and cloud security best practices
Familiarity with distributed computing frameworks (Spark, Ray, Dask)
Experience with AI/LLMOps tools (observability, evaluation pipelines, agentic workflows)
Familiarity with ML/AI platform tools (SageMaker, MLflow, Airflow)

🎾 What's working at Dev.Pro like?✔️ 30 paid days off each year — use them for vacation, holidays, or personal time
✔️ 5 paid sick days, up to 60 days of medical leave, and 6 paid days off for family events like weddings, funerals, or having a baby
✔️ Partially covered health insurance - after probation
✔️ Wellness bonus for gym memberships, sports nutrition, and similar needsOur next steps:✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ OfferInterested? Find out more:

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