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 adaptable, 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 atticontinually raise the bar and drive those around you to deliver great results.You're not bound by convention – you develop new ways to do things.You need action – speed matters; many decisions and actions are reversible and do not need extensive study.You earn trust – you listen attentively, speak candidly, and treat others respectfully.What Makes Working at Sezzle AwesomeAt Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out‐of‐the‐box thinkers, and determined innovators.
We believe in surrounding ourselves with only the best and the brightest individuals.
Our culture is defined by the visible example of living in every employee that we hire, rather than a set of perks that merely imitate traditional startup culture.Remote – Full Time
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📌 Senior Devops Engineer (Databricks) - Remote - Latin America (La Pampa)
🏢 Sezzle
📍 La Pampa