4 publicaciones de empleo destacadas de sr data ops engineer en remote (¡Están contratando!)

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Coderio —Desde casa
- Por contrato
Postulación rápida
10d
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Coderio —Desde casa
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- Tiempo completo
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Sr Data Ops Engineer

Coderio
Desde casa

Postulación rápida

Detalles del empleo

Por contrato
Hace 10 días

Descripción completa del empleo

About Us

Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.

More information: http://coderio.com

This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves interacting with customers to understand their needs, extract requirements, and both design and propose scalable solutions. You will be responsible for tackling the challenge of working within a team to develop solutions, as well as executing hands-on technical work to ensure robust data operations.

What To Expect In This Role (Responsibilities)

Automation & Integration: Develop Python components, Terraform modules, and pipelines to integrate and automate various tools and processes.
API & System Orchestration: Promote the use of APIs from distinct systems to extract and update data, trigger and monitor processes, and help tie infrastructures together.
Cloud Reliability & Operations: Deploy, maintain, and oversee cloud infrastructure to ensure it runs with the performance and reliability our customers expect.
Data Modeling & Documentation: Help create Data Models, technical documents, and best practices for our users.
DataOps Best Practices & Innovation: Develop policies, processes, and best practices regarding DevOps and DataOps. You will also help identify opportunities, generate innovative solutions, and improve existing product features.

Requirements

Development & Scripting: Strong proficiency in Python and bash, and fluency in SQL as a second language.
Data Ecosystems & Pipelines: Deep familiarity with databases, data warehouses, and data lakes, as well as being adept at data pipelines and process improvement.
Cloud & Tooling Mastery: Strong knowledge of AWS environments, including EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, and EKS. Must also be familiar with modern development tools like Terraform, GitHub, Docker, and dbt.
Mindset & Work Style: Ability to thrive in an environment with constant and quick iterations, consistently seeking out creative solutions to challenging problems. Must have strong attention to detail.
Autonomy & Collaboration: Ability to work collaboratively while also being capable of owning a project with little guidance. Must be comfortable working in a diverse environment and non-hierarchical organizations.
Customer-Facing Skills: Ability to interact directly with customers to understand needs, extract requirements, and propose technical solutions.

Nice to Have

AWS associate or professional-level certifications, such as Solutions Architect, Developer, or DevOps Engineer.

Benefits

High-impact, strategic role driving modern data infrastructure and automation.
Collaborative international environment with senior technical leadership.
High autonomy to design, propose, and implement cutting-edge DataOps solutions.
Long-term engagement with competitive compensation and growth opportunities.

Why Join Coderio?

At Coderio, we value talent and technical excellence. We are passionate about modern engineering, high autonomy, and building solutions that make a real difference. We offer an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. If you are eager to design and deploy next-generation data solutions that elevate engineering teams, apply now.

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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