DevOps Engineer

DEUNA

Texcoco de Mora

A distancia

MXN 700.000 - 1.100.000

Jornada completa

hace 30 horas
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Ventajas ofrecidas por este puesto de trabajo

Remote work from anywhere
Stock options
Vacations and PTO
Internet/cell phone stipend
Growth and career path

Descripción de la vacante

DEUNA is seeking a DevOps Engineer - Data Platform to strengthen cloud infrastructure, automation, reliability, and observability for data workloads. You will collaborate with Data Engineering to build scalable, secure AWS infrastructure and accelerate delivery through infrastructure automation.

Ideal candidates bring 3–6+ years in DevOps/SRE, strong AWS networking, Snowflake and MongoDB Atlas experience, and proficiency in Terraform, AWS CDK, and observability tools.

Formación

  • 3–6+ years of hands-on experience in DevOps, Cloud Infrastructure, SRE, or Platform Engineering.
  • Strong AWS infrastructure and networking experience including VPC, PrivateLink, Route 53, IAM, cross-account connectivity, and serverless services.
  • Hands-on experience operating Snowflake and MongoDB Atlas, including architecture, access management, networking, backups, performance monitoring, and cost optimization.

Responsabilidades

  • Design, manage, and optimize AWS cloud infrastructure, networking, security, and services supporting both DevOps and Data Engineering workloads.
  • Build and maintain Infrastructure as Code using Terraform and AWS CDK, with CI/CD pipelines to automate provisioning and deployments.
  • Manage and improve observability, monitoring, logging, and alerting using Grafana, Prometheus, Loki, Tempo, and OpenTelemetry.
  • Support and optimize data platforms including Snowflake and MongoDB Atlas focusing on connectivity, performance, security, availability, and cost efficiency.
  • Implement and maintain AWS networking solutions including VPCs, PrivateLink, DNS, and secure cross-account connectivity.
  • Improve infrastructure reliability, scalability, and disaster recovery through automation, multi-region architecture, backup strategies, and failover testing.
  • Implement DevSecOps practices including IAM, secrets management, vulnerability management, security automation, and PCI DSS controls.
  • Participate in infra operations, troubleshooting, incident response, root cause analysis, and continuous reliability improvements.
  • Collaborate with DevOps/SRE, Security, and Data Engineering teams to standardize infra and automate operational processes.
  • Drive cloud cost optimization, performance improvements, and efficiency across AWS and data platforms.

Conocimientos

Cloud infrastructure
DevOps/SRE
AWS networking
CI/CD
Monitoring/Observability
Python & SQL
Security & DR
Cross-team collaboration
Automation-first mindset

Herramientas

Terraform
AWS CDK
Snowflake
MongoDB Atlas
Grafana
Prometheus
Loki
Tempo
OpenTelemetry

Descripción del empleo

About DEUNA

We are a rapidly growing startup that simplifies global payments and powers next generation commerce in a single platform. With our products we've consolidated hundreds of payment solutions in a single integration, harness an intuitive payment orchestration method and centralize payment reconciliation.

About DEUNA

We are currently present all across LATAM and looking for exceptional talent to join our team and continue revolutionizing the world of payments! Visit https://www.deuna.com/ to learn more about us!

About The Role

We are looking for a DevOps Engineer - Data Platform to strengthen DEUNA's cloud infrastructure, automation, reliability, and observability while supporting the growing needs of our Data Engineering teams. This role will work closely with DevOps/SRE and Data Engineering to build scalable, secure, and cost-efficient AWS infrastructure, improve platform resilience, and accelerate delivery through infrastructure automation and DevOps best practices. The engineer will contribute to broader DevOps initiatives while ensuring our data platforms, including Snowflake and MongoDB Atlas, operate reliably and efficiently as DEUNA scales.

Who You Are
  • 3-6+ years of hands-on experience in DevOps, Cloud Infrastructure, SRE, or Platform Engineering, ideally supporting production data platforms
  • Strong AWS infrastructure and networking experience, including VPC, PrivateLink, Route 53, IAM, cross-account connectivity, and serverless services
  • Hands-on experience operating both Snowflake and MongoDB Atlas, including their architecture, access management, networking, backups, performance monitoring, and cost optimization
  • Proficiency in Infrastructure as Code using Terraform and AWS CDK, along with CI/CD pipelines and infrastructure automation
  • Working knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry, including monitoring and alerting
  • Experience with Python and SQL for automation, troubleshooting, and infrastructure operations
  • Strong understanding of cloud security, high availability, disaster recovery, and operational reliability
  • Ability to collaborate with Data Engineering, DevOps/SRE, and Security teams while taking ownership of shared infrastructure and production reliability
  • Proactive, automation-first mindset with strong troubleshooting, communication, and problem-solving skills
What You'll Do
  • Design, manage, and optimize AWS cloud infrastructure, networking, security, and services supporting both DevOps and Data Engineering workloads
  • Build and maintain Infrastructure as Code using Terraform and AWS CDK, along with CI/CD pipelines to automate infrastructure provisioning and deployments
  • Manage and improve observability, monitoring, logging, and alerting using Grafana, Prometheus, Loki, Tempo, and OpenTelemetry
  • Support and optimize data platforms, including Snowflake and MongoDB Atlas, focusing on connectivity, performance, security, availability, and cost efficiency
  • Implement and maintain AWS networking solutions, including VPCs, PrivateLink, DNS, and secure cross-account connectivity
  • Improve infrastructure reliability, scalability, and disaster recovery through automation, multi-region architecture, backup strategies, and failover testing
  • Implement DevSecOps best practices, including IAM, secrets management, vulnerability management, security automation, and PCI DSS compliance controls
  • Participate in infrastructure operations, troubleshooting, incident response, root cause analysis, and continuous reliability improvements
  • Collaborate with DevOps/SRE, Security, and Data Engineering teams to standardize infrastructure, automate operational processes, and support engineering initiatives
  • Drive cloud cost optimization, infrastructure performance improvements, and operational efficiency across AWS and data platforms
What will you find when you join DEUNA?
  • A multicultural team distributed throughout LATAM
  • Dynamism, agility and constant innovation
  • Being part of a high-impact solution for an entire region
  • The best tools and technology to operate
  • Being part of the startup culture
  • We are in full expansion!
Benefits
  • Vacations and additional PTO
  • Remote work from anywhere
  • Economic support for internet and cell phone line
  • We all own DEUNA, we offer stock options
  • Multidisciplinary, diverse and dynamic team
  • Growth and career path
  • Be part of a dynamic team that's creating the next generation payments platform.

DEUNA is proud to be an equal opportunity employer. We value and celebrate diversity and inclusion in our workplace. All employment decisions at DEUNA are made without discrimination based on nationality, race, ethnicity, religion, gender, sexual orientation, gender identity or expression, marital status, color, disability, or any other characteristic protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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