Senior DevOps Engineer (Databricks) - Remote - Latin America

FullStack; Rosario; A distancia; ARS 181.094.000 - 271.641.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

100% remote work

Continuing education opportunities

Grow your career

Descripción de la vacante

FullStack is seeking a Senior DevOps Engineer (Databricks) to join our talent network and work on flexible, project-based development engagements with U.S. clients. You will integrate into our client's team and collaborate closely with designers and engineers daily.

We value 5+ years in Data/Platform/DevOps engineering, advanced English, a four-year degree, and hands-on Databricks experience on AWS. Proficiency in Python, SQL, Spark, and GitHub Actions is required.

Formación

• 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.

Responsabilidades

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

Conocimientos

Data Engineering

Platform Engineering

DevOps Engineering

Advanced English

Python

SQL

Apache Spark

REST APIs

CI/CD

Terraform

GitHub Actions

AWS

Databricks

RBAC / IAM

Educación

Four-year college degree

Herramientas

Terraform

Databricks

GitHub Actions

Descripción del empleo

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.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.

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