DataOps Platform Engineer at Paramo Technologies

Descrição da Função:

Últimas informações de emprego de Paramo Technologies para o cargo de DataOps Platform Engineer. If the DataOps Platform Engineer vaga em Buenos Aires corresponde às suas qualificações, submeta a sua candidatura ou CV atualizado diretamente através do portal Jobkos.

Tenha em atenção que candidatar-se a um emprego exige o cumprimento de requisitos da empresa. Esperamos que a oportunidade em Paramo Technologies para o cargo de DataOps Platform Engineer abaixo seja adequada ao seu perfil.

We are a cutting-edge e-commerce Empresa developing products for our own technological platform. Our creative, smart, and dedicated teams pool their knowledge and experience to find the best solutions to meet project needs, while maintaining sustainable and long‑lasting results. How? By making sure that our teams thrive and develop professionally. Strong advocates of hiring top talent and letting them do what they do best, we strive to create a workplace that allows for an open, collaborative and respectful culture.

What You Will Be Doing

We are looking for a DataOps Platform Engineer to help operate, automate, and evolve our data platform. You will work across distributed systems, observability, infrastructure‑as‑code, and hybrid environments (on‑prem + Azure), ensuring stability, scalability, and reliability for teams building on top of the platform. This role focuses on platform enablement – not building data pipelines – and requires strong engineering fundamentals, an automation mindset, and experience with modern data‑infrastructure tooling.

Some Of The Responsibilities Are

• Operate and maintain core platform services: Spark, Flink, Airflow, OpenMetadata, and supporting components.
• Support and optimize internal analytical engines such as StarRocks, and assist in the rollout of technologies like Neo4j.
• Operate hybrid infrastructure: on‑prem (VMware vSphere) + Azure (networking, identity, managed services, private connectivity patterns).
• Enable platform connectivity and operational readiness for data warehouse / analytics ecosystems (e.g., Synapse, Snowflake, BigQuery or similar): authentication/access patterns, runtime integration, operational monitoring (no pipeline ownership).
• Implement and maintain Infrastructure as Code using Terraform.
• Automate configuration and deployments using Ansible.
• Maintain GitOps workflows using ArgoCD.
• Manage CI/CD pipelines for platform components via Jenkins.
• Maintain and improve the observability stack:
• Logging: Fluent Bit + Graylog
• Metrics/alerts/dashboards: New Relic / Grafana
• Support Splunk usage including platform‑side onboarding and operational administration tasks (e.g., forwarders/integrations, source onboarding, access/retention patterns as needed in coordination with security/IT).
• Drive platform reliability through incident response, RCA, and lifecycle operations (upgrades, patches, feature enablement), working in an Agile/Kanban delivery model.
• Produce and maintain high‑quality documentation: runbooks, operational guides, onboarding docs, and service ownership standards.

Knowledge and skills you need to have

• Strong experience (+5 years operating distributed systems or data platform components such as Spark, Flink, Airflow).
• Practical experience operating cloud/hybrid environments, including Azure services used in data platforms (networking/connectivity, identity, managed services).
• Solid Linux, networking, troubleshooting, and automation skills.
• Hands‑on experience with Terraform and Ansible.
• Practical experience with GitOps (ideally ArgoCD).
• Experience with CI/CD (preferably Jenkins).
• Hands‑on familiarity with observability fundamentals: logs, metrics, alerts (Fluent Bit, Graylog, New Relic, Grafana).
• Strong operational ownership: incident handling, problem management, and continuous improvement (SLIs/SLOs, alert quality, capacity).
• Upper‑intermediate English.
• On‑Call availability.

Bonus points for the following

• Experience with analytical databases / distributed engines (StarRocks, ClickHouse, Druid, etc.).
• Interest or exposure to graph databases (Neo4j).
• Familiarity with developer‑platform enablement tools such as Backstage (or similar).
• Exposure to Azure ML Studio or adjacent ML platform tooling (enablement/ops perspective).

Why choose us?

We provide the opportunity to be the best version of yourself, develop professionally, and create strong working relationships, whether working remotely or on‑site. While offering a competitive salary, we also invest in our people's professional development and want to see you grow and love what you do. We are dedicated to listening to our team's needs and are constantly working on creating an environment in which you can feel at Início.

Benefits

• 22 days of annual leave
• 10 days of public/national holidays
• Health insurance options
• Access to online learning platforms
• On‑site English classes in some countries, and more.

Join our team and enjoy an environment that values and supports your well‑being. If this sounds like the place for you, Contactos now!

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Informação da Vaga:

• Empresa: Paramo Technologies
• Cargo: DataOps Platform Engineer
• Local de Trabalho: Buenos Aires
• País: BR

Como enviar a sua candidatura:

Após ler e compreender os critérios e requisitos mínimos explicados na informação da vaga DataOps Platform Engineer at the office Buenos Aires acima, prepare de imediato os documentos de candidatura, tais como carta de apresentação, CV, cópia do diploma e outros anexos. Envie através do link 'Próxima Página' abaixo.

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