Senior DevOps Engineer (Databricks) - Remote - Latin America

FullStack; Mar del Plata; À distance; ARS 182 485 000 - 288 934 000; Plein temps

Avantages offerts par ce poste

100% remote

Competitive pay

Continuing education

Career growth

Top clients & projects

Résumé du poste

FullStack is seeking a Senior DevOps Engineer (Databricks) to join our talent network and collaborate with US clients on flexible, project-based development work. You will integrate into client teams, optimize Databricks on AWS, and contribute to CI/CD efforts across multiple repositories.

Ideal candidates bring 5+ years in data/platform engineering or DevOps, strong English, and a four-year degree. Remote, enterprise-scale projects, and opportunities with leading firms await.

Qualifications

• 5+ years of professional experience in Data Engineering, Platform Engineering, or DevOps.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Extensive experience administering and optimizing Databricks on AWS in enterprise environments.
• Proven experience with Terraform and Infrastructure as Code for cloud infrastructure automation.
• Hands-on experience automating Databricks jobs, clusters, and serving endpoints using REST APIs and Infrastructure as Code.
• Strong experience designing and maintaining GitHub Actions workflows and reusable CI/CD frameworks across multiple repositories.
• Proficiency in Python and SQL, with a solid understanding of data engineering workflows.
• Strong understanding of Apache Spark and distributed data processing.
• Experience implementing automated code quality and security checks using tools such as SQLFluff, PyLint, and GitHub Actions.
• Proven experience establishing SDLC guardrails, branch protection, code ownership, approval workflows, deployment controls, and secure secret management.
• Hands-on experience managing Databricks Unity Catalog, including access controls and data lineage.
• Strong understanding of AWS IAM, Databricks RBAC, identity providers, and least-privilege access principles.
• Experience implementing monitoring, logging, alerting, and observability for cloud and data platforms.
• Experience designing scalable, reliable, and cost-efficient multi-environment data platform architectures.
• Familiarity with Snowflake and modern data engineering platforms is a plus.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Responsabilités

• Integrate into the client's team daily and collaborate with designers and engineers.
• Administer and optimize Databricks on AWS in enterprise environments.
• Design and maintain GitHub Actions workflows and CI/CD frameworks across multiple repositories.
• Implement automated code quality and security checks using tools such as SQLFluff, PyLint, and GitHub Actions.
• Manage Databricks Unity Catalog, including access controls and data lineage.
• Contribute to SDLC guardrails, deployment controls, and secure secret management.

Connaissances

Databricks

AWS

Terraform

GitHub Actions

Python

SQL

CI/CD

Spark

Data engineering workflows

Formation

Four-year college degree

Outils

Terraform

GitHub Actions

CI/CD frameworks

Snowflake

Description du poste

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We're Most Proud Of

• Offering life-changing career opportunities to talented software professionals across the Americas.
• Building highly-skilled software development teams for hundreds of the world's greatest companies.
• Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
• Our 4.1-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior DevOps Engineer (Databricks).

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For

• 5+ years of professional experience in Data Engineering, Platform Engineering, or DevOps Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Extensive experience administering and optimizing Databricks on AWS in enterprise environments.
• Proven experience with Terraform and Infrastructure as Code for cloud infrastructure automation.
• Hands-on experience automating Databricks jobs, clusters, and serving endpoints using REST APIs and Infrastructure as Code.
• Strong experience designing and maintaining GitHub Actions workflows and reusable CI/CD frameworks across multiple repositories.
• Proficiency in Python and SQL, with a solid understanding of data engineering workflows.
• Strong understanding of Apache Spark and distributed data processing.
• Experience implementing automated code quality and security checks using tools such as SQLFluff, PyLint, and GitHub Actions.
• Proven experience establishing SDLC guardrails, branch protection, code ownership, approval workflows, deployment controls, and secure secret management.
• Hands-on experience managing Databricks Unity Catalog, including access controls and data lineage.
• Strong understanding of AWS IAM, Databricks RBAC, identity providers, and least-privilege access principles.
• Experience implementing monitoring, logging, alerting, and observability for cloud and data platforms.
• Experience designing scalable, reliable, and cost-efficient multi-environment data platform architectures.
• Familiarity with Snowflake and modern data engineering platforms is a plus.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Nice To Have

We're Seeking Engineers Who Are AI-enthusiastic In Their Workflow. Professional Experience Or Personal Project Work With The Following Is a Significant Plus

• Cursor, Windsurf, or Google Antigravity.
• Claude Code, Gemini CLI, Codex, or Copilot CLI.

Work Authorization Requirements

• Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
• FullStack will not sponsor applicants for work visas now or in the future.

What We Offer

• Competitive pay.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities.
• Opportunity to grow and expand your career.

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