About Skymod
Founded in 2023, Skymod is a pioneering enterprise AI company building intelligent systems that seamlessly integrate into the core operations of businesses. Our flagship product, SkyStudio, is a powerful enterprise AI platform that connects directly with business-critical systems such as CRM, ERP, and HR platforms. SkyStudio brings together three core capabilities: Chat, Assistant, and Agent Workflow to deliver a complete AI environment for the enterprise. With Chat, employees can access and interact with enterprise data in natural language; with Assistant, teams gain AI copilots that automate tasks and synthesize knowledge; and with Agent Workflow, organizations design and deploy autonomous, domain-specific agents that execute multi-step processes across their applications. By combining these capabilities, SkyStudio enables enterprises to move beyond generic tools and embrace intelligent agents that truly understand their business, ensuring scalability, compliance, and data-driven decision-making at every level.
At Skymod, we combine our own large language model with an advanced Retrieval-Augmented Generation (RAG) framework to deliver secure, scalable, and high-performance AI solutions. Whether deployed on-premise or in the cloud, our technology is designed to meet the strict compliance, data privacy, and infrastructure requirements of enterprise clients.
Our mission is to help businesses move beyond generic AI tools and instead deploy domain-specific, intelligent agents that integrate seamlessly with their existing systems. From customer engagement to operations automation, Skymod empowers organizations to work smarter, faster, and more securely, redefining what enterprise AI can achieve.
At Skymod, every engineer contributes not only to building robust infrastructure but also to shaping the future of applied AI. 🚀
Position Summary
We are looking for an experienced DevOps Engineer to join our growing team. In this role, you will be responsible for designing, implementing, and maintaining scalable infrastructure, ensuring smooth deployments, and enhancing the reliability of our AI-driven systems.
Key Responsibilities
- Manage and optimize GitLab repositories
- Design and develop CI/CD pipelines
- Optimize Dockerfiles and manage containers
- Oversee build processes and artifact management
- Set up and manage AWS environments (test, stage, production)
- Handle deployment and migration of web applications
- Install and manage database servers
- Multi-environment setup and configuration
- Integrate and configure Cloudflare, DNS and security policies
- Implement Zero-Trust security models
- Conduct Kubernetes research and development
- Deploy and configure monitoring tools
- Repository structure development
- Database planning and theoretical installation studies
Required Qualifications
- Advanced experience with GitLab/Git
- Strong background in Docker and containerization
- Experience with AWS/Azure cloud services
- Proven ability to set up and manage CI/CD pipelines
- Solid knowledge of Ubuntu/Linux system administration
- Database management experience (PostgreSQL, MySQL)
- Proficiency in Bash/Python scripting
Nice to Have:
- Kubernetes hands-on experience
- Web application deployment experience
- Infrastructure as Code (Terraform, Ansible)
- Familiarity with monitoring tools (Prometheus, Grafana)
- Experience with Cloudflare and Zero-Trust models
- LLMOps and AI/ML pipeline management knowledge
Education and Experience Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field
- Relevant certifications (AWS, Kubernetes, DevOps) are a plus
- Minimum 3+ years of experience as a DevOps Engineer or SRE
- Proven track record working in production environments
- Strong understanding of Agile and DevOps culture
Location
- Izmir/Türkiye
Benefits
- Hybrid work flexibility
- Opportunity to work at the forefront of enterprise AI innovation
- Continuous learning and professional development support
- Collaborative and growth-oriented team culture
This position includes both the design and implementation of scalable infrastructure as well as the optimization of CI/CD pipelines, cloud environments, and system reliability.
To apply, please submit your CV and a short cover letter for consideration.
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