DevOps Engineer with Backend Expertise to $4000
At Dilizy (dilizy.ai), we are transforming how dealerships manage and sell vehicles with the power of AI. Our cutting-edge platform provides dealerships with intuitive tools for managing inventories, pricing vehicles effectively, and automating key processes to optimize business performance.
We are looking for an experienced DevOps Engineer to join our dynamic team. In this role, you will play a crucial part in scaling and optimizing the infrastructure that powers our AI-driven automotive SaaS solutions. You’ll work in a fast-paced, innovative environment, contributing directly to the seamless delivery of our platform’s features and services.
Responsibilities
- Design, implement, and maintain scalable infrastructure to support AI-driven services.
- Build and optimize CI/CD pipelines to ensure smooth and reliable delivery.
- Collaborate with data scientists and backend engineers.
- Manage and monitor large-scale data storage solutions and compute resources.
- Ensure the platform’s availability, scalability, and performance by proactively identifying and addressing bottlenecks.
- Monitor, troubleshoot, and resolve infrastructure issues, maintaining uptime and reliability.
- Work with cloud providers to leverage their full potential while optimizing costs.
- Maintain secure and compliant infrastructure, adhering to GDPR and other regulatory requirements.
Qualifications - 3+ years of experience in DevOps or similar roles, ideally in a SaaS environment.
- Expertise with CI/CD tools (GitLab CI/CD or GitHub Actions).
- Proficiency in containerization technologies (Docker) and orchestration tools.
- Strong experience with cloud platforms (Hetzner) and cloud services such as storage, compute, and serverless functions.
- Proficiency in scripting with Bash and PHP for automation.
- Hands-on experience with infrastructure-as-code tools like Terraform.
- Familiarity with monitoring and logging tools such as Zabbix, Loki, and Sentry.
- Solid understanding of database systems (MySQL, PostgreSQL) and caching solutions (Redis).
Nice-to-Have - Experience deploying and optimizing AI/ML models in production environments.
- Familiarity with distributed systems and large-scale data storage solutions.
- Understanding of the automotive industry or dealership operations.
- Knowledge of security best practices and regulatory compliance (e.g., GDPR).
What We Offer - A unique opportunity to shape the future of AI in the automotive industry.
- Work in a fast-paced, collaborative environment with a team of talented professionals.
- Flexibility with remote work opportunities.
- Competitive compensation and growth opportunities.
- The chance to work on innovative projects that make a real impact on dealerships worldwide.
Published 14 July
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$2000-4000
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