Senior Software Engineer - DevOps & Data Engineering

Chandler, United States | Posted on 06/09/2026

We are looking for a versatile Senior Software Engineer who thrives at the intersection of traditional software engineering, robust CI/CD infrastructure, and heavy data systems.

In this role, you will bridge the gap between application development and scalable infrastructure. You will manage complex integrations with large customer repositories, streamline our deployment pipelines, and heavily contribute to our data architecture. We value continuous learning and are looking for someone eager to expand their skills into advanced data frameworks and AI-driven development workflows.

CI/CD & Repo Management: Design, build, and maintain robust CI/CD pipelines optimized for integrating with large, complex customer repositories.

Full-Stack Development: Write clean, scalable code across the full stack while ensuring seamless deployment and system reliability.

Infrastructure as Code: Utilize Terraform to provision, manage, and scale cloud infrastructure.

Data Engineering & Architecture: Work extensively on heavy data-side engineering, including data pipeline development and optimizing data flows.

Continuous Upskilling: Proactively learn and implement PySpark and modern Data Architecture principles to support our growing data needs.

AI Tool Integration: Leverage modern AI tools like Claude, Cursor, and agentic workflows to accelerate development and automate routine engineering tasks.

Core Engineering: Strong background in traditional Software Engineering practices (OOP, system design, and clean code).

CI/CD Expertise: Proven experience with advanced CI/CD tools, version control, and managing deployments for large-scale customer repositories.

Full-Stack Exposure: Solid understanding of both frontend and backend development life cycles.

Cloud & IaC: Hands-on experience (or a strong foundational knowledge) with Terraform and cloud infrastructure management.

Data-Centric Mindset: Experience working heavily on the data side of applications.

Growth Mindset: Strong willingness and readiness to upskill quickly on Py Spark and Data Architecture
.

Modern Tooling: Familiarity with LLMs and AI-assisted development tools like Claude and Cursor
.

Advanced experience with Terraform at scale.

Experience building or utilizing Agentic tools and workflows for automation.