Senior Systems Engineer - AI-Driven Cloud & Microservices

Compunnel, Inc.; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Compunnel, Inc. is looking for an experienced Systems Engineer to support large-scale technology transformations. The role focuses on modernizing enterprise systems and involves working with AI-assisted workflows and cloud-native applications. Ideal candidates have strong expertise in Java, DevOps practices, microservices, and AI/ML implementation. You will design and develop scalable systems while collaborating with cross-functional teams. Candidates should have significant professional experience in a fast-paced Agile environment.

Qualifications

• 7+ years of professional software engineering experience developing large-scale applications.
• 2+ years of hands-on experience with AI/ML implementation and production deployment.
• 6+ years of experience with containers and microservices in cloud environments.

Responsibilities

• Design, develop, and support large-scale enterprise applications.
• Lead and contribute to AI-assisted development workflows across the SDLC.
• Build and support cloud-native applications using microservices.

Skills

Java

Cloud technologies

Microservices

AI/ML implementation

DevOps practices

CI/CD

Containers

Agile methodologies

Education

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field

Master’s degree in Information Technology, Computer Science, or related field

Tools

Pivotal Cloud Foundry (PCF)

AWS

GCP

MongoDB

Aerospike

PostgreSQL

GitHub Copilot

RabbitMQ

Kafka

JIRA

Confluence

Job description

Compunnel, Inc. is looking for an experienced Systems Engineer to support large-scale technology transformations. The role focuses on modernizing enterprise systems and involves working with AI-assisted workflows and cloud-native applications. Ideal candidates have strong expertise in Java, DevOps practices, microservices, and AI/ML implementation. You will design and develop scalable systems while collaborating with cross-functional teams. Candidates should have significant professional experience in a fast-paced Agile environment.