DevOps

Complexio; Warszawa; On-site; PLN 250,000 - 420,000; Full time

Job summary

Complexio is seeking a Senior DevOps Engineer to architect and manage a platform that deploys, scales, and optimizes distributed systems across on-premises and multi-cloud environments. You will work with Kubernetes, Docker, and data integration to support AI workloads.

Ideal candidates have advanced degrees or equivalent experience, 7+ years in cloud infrastructure, and strong scripting skills (Python/Java/Go). The role emphasizes security, reliability, and collaboration.

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.

Responsibilities

• Define and implement the platform for deploying, managing, and optimizing distributed systems across on-premises and multiple clouds.
• Ensure infrastructure robustness, scalability, and security to support AI solutions.
• Collaborate on integrating AI/ML workflows across GPUs and diverse data sources.
• Document architectures and provide clear technical explanations to teams.

Skills

Cloud infrastructure

Kubernetes expertise

Programming: Python/Java/Go

CI/CD pipelines

Networking & security

Documentation & communication

Problem-solving

Platform deployment

Education

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

Tools

Docker

Neo4j

Vector databases

Job description

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 and Experience

• 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 managment, speciffically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability
• Experience deploying and running Machine Learning Solutions, including LLMs

• 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.