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DevOps/Platform Engineer
Location: Hybrid, Baltimore, Boise, USA
|
Full-Time
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$140,000 -
$180,000
LLMs
Python
Kubernetes
Terraform
GCP
Back End Engineer
**About Aventic AI:** Aventic AI is pioneering a new approach to human-company interactions through intelligent platforms powered by custom LLMs. We develop cutting-edge solutions deployable across cloud and on-premise environments, combining technical innovation with practical application. Our small but experienced team has demonstrated strong product traction, creating an opportunity to make a significant impact from the ground up. We offer a hybrid work model across Baltimore and Boise, balancing flexibility with collaborative innovation. **Role Overview:** As a DevOps/Platform Engineer at Aventic AI, you'll be instrumental in building and maintaining the infrastructure that powers our intelligent platform. You'll design, implement, and optimize systems for automation, observability, CI/CD, and infra-as-code, ensuring reliability and scalability for our growing product. This role offers autonomy to take end-to-end ownership of significant features while collaborating closely with product and engineering teams. **Key Responsibilities:** - Design and implement robust automation pipelines - Build and maintain observability solutions (monitoring, logging, alerting) - Develop and enforce best practices for CI/CD and deployment processes - Create and manage infrastructure-as-code solutions - Deploy and manage Kubernetes clusters in cloud and on-premise environments - Partner with engineering teams to ensure system reliability and performance - Contribute to architectural decisions and technical roadmap planning **Required Skills & Experience:** - 3+ years in DevOps, SRE, or Platform engineering roles - Proficiency with cloud infrastructure (particularly GCP) - Expertise in infrastructure-as-code tools (Terraform, Ansible preferred) - Deep understanding of Kubernetes and container orchestration - Strong Python programming skills - Experience deploying Kubernetes in hybrid environments - Solid grasp of distributed systems principles **Bonus Qualifications:** - Experience with multi-cloud or on-premise deployments - Familiarity with LLM infrastructure and AI/ML operationalization - Background in security-hardened infrastructure **Company Benefits:** - Competitive salary with equity opportunities - Flexible remote/hybrid work arrangement - Opportunities for professional growth and learning - Collaborative environment with experienced founders - Strong product-market fit with room for innovation **Join Us:** Help shape the future of human-company interactions at Aventic AI. Apply directly at apply@aventic.ai
Post Date:
June 26, 2025