DevOps

Complexio Limited; Warszawa; On-site; PLN 100,000 - 130,000; Full time

Benefits offered by this job

Professional growth opportunities

Collaborative team environment

Continuous learning in AI and industry

Job summary

Complexio Limited is seeking a skilled DevOps engineer to define and create the platform for deploying, managing, and optimizing distributed systems across various cloud environments. This role involves ensuring robust, scalable, and secure infrastructure, leveraging AI technologies, and integrating data from multiple sources.

The ideal candidate will have extensive experience with cloud services (AWS, Azure, Google Cloud) and Kubernetes, along with strong problem-solving skills and a structured approach to workflow.

Qualifications

• Preferred M.Sc or Ph.D degree in Computer Science or a related field.
• At least 7 years of experience deploying and managing cloud infrastructure.
• At least 3 years experience in working with Kubernetes environments.

Responsibilities

• Define and create the platform for deploying and managing distributed systems.
• Ensure infrastructure is robust, scalable, and secure for seamless product delivery.
• Combine cloud technologies and database management expertise.

Skills

Cloud infrastructure deployment and management

Kubernetes management

CI/CD pipelines

Data integration and management

Scripting for automation

Problem-solving skills

Education

M.Sc or Ph.D in Computer Science or related field

Tools

AWS

Azure

Google Cloud

Docker

Neo4j

Job description

About the Role

As a DevOps engineer at our AI product company, you will define and create the platform for deploying, managing, and optimizing our distributed systems across on-premises, multiple cloud environments (AWS, Azure, Google Cloud), and Kubernetes.

Our system leverages multiple LLMs, Graph and Vector Databases and integrates data from multiple sources to power our AI solutions. You will ensure our infrastructure is robust, scalable, and secure, supporting the seamless delivery of our innovative products. This role requires combining cloud technologies and database management expertise, embracing the challenges of integrating AI and machine learning workflows on modern GPUs.

Qualifications

• Preferred M.Sc or Ph.d degree in Computer Science or a related field
• At least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud)
• At least 3 years experience in working with kubernetes environments
• Proficient in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability
• Experience with cloud-native technologies, CI/CD pipelines, and containerization tools (e.g., Docker)
• Familiarity with data integration and management from multiple sources in a distributed system environment
• Proficiency in at least one programming language (Python, Java, Go) and experience with scripting for automation
• Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations
• Excellent problem-solving and technical skills
• Experience in building platforms with custom deployment models
• Structured working approach and ability to piecemeal on long-term goals
• Ability to document and explain technical details clearly, with solid communication and collaboration skills
• Interest and experience in working on early-stage software and solving various problems

Nice to have

• Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability
• Experience deploying and running Machine Learning Solutions, including LLMs

Benefits

• Join a pioneering joint venture at the intersection of AI and industry transformation.
• Work with a diverse and collaborative team of experts from various disciplines.
• Opportunity for professional growth and continuous learning in a dynamic field.