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Software Engineer - Cloud & AI Platforms

Patton Labs Inc.
United States
4 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Artificial Intelligence Data Analysis BigQuery DevOps Design of User Interfaces Software Engineering Google Cloud Backend Containerization AngularJS Google Cloud Functions

Requirements

  1. Bachelor Degree is REQUIRED.
  2. 8-10 years of software engineering and Devops experience. Role is more focused on backend.
  3. Strong understanding of Google Cloud Platform
  4. Needs to have exposure or experience working on an AI stack and deploying them using DevOps in a Google Cloud Platform environment. Understanding of Copilot would be helpful
  5. Experience and understanding of Both Java and Python and understanding of Angular.
  6. Strong communication skills going to speaking to upper management and in meetings, and previous Automotive experience.

Skills Required: Google Cloud Platform, Google Cloud Platform Cloud Run, Big Query, Data Analysis, Angular, UI/UX DESIGN, Solution Architecture Skills Preferred:

  • Google Cloud Platform Experience is required. AI Stack Experience & Automotive Experience is highly preferred Experience Required: Senior Engineer Exp: 8+ years in IT; 6+ years in development Google Cloud Platform expertise, Data / Analysis / Containerization and AI stack Hands-On

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

10:40 min

Evaluating automotive software architectures and backend technologies

Georg Kühberger +1 · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

6:28 min

Defining critical competencies for automotive AI engineering

Daniel Graff +1 · World Congress 2021

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Coffee With Developers • over 8 years ago

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World Congress 2026 Europe • about 2 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

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World Congress 2024 • about 2 years ago

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