Join us to apply for the Senior DevOps role at Complexio .
Complexio is a Foundational AI company focused on automating business activities by ingesting and analyzing company data—both structured and unstructured. Using proprietary models and algorithms, Complexio develops a deep understanding of human interactions and behaviors, enabling automation to replicate and improve these actions independently.
As a DevOps engineer at our AI product company, you will define and build 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 various 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 combines cloud technologies and database management with the challenges of integrating AI and machine learning workflows on modern GPUs.
Requirements
- Excellent problem-solving and technical skills
- Experience in building platforms with custom deployment models
- Structured working approach and ability to plan 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
Key Responsibilities
Deploy, manage, and scale cloud infrastructure, meeting SLAsManage graph and vector databases for performance and reliabilityMaintain and operate platform observabilityEnsure system security by implementing best practices and complying with data protection lawsProvide technical support, troubleshoot issues, and ensure uninterrupted serviceDocument system configurations and procedures, generate performance reportsManage infrastructure costsPreferred Qualifications
Master's or Ph.D. in Computer Science or related fieldAt least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud)At least 3 years experience with Kubernetes environmentsProficiency in managing and scaling Kubernetes clusters, monitoring, troubleshooting, high availabilityExperience with cloud-native technologies, CI / CD pipelines, containerization (Docker)Familiarity with data integration from multiple sources in distributed systemsProficiency in at least one programming language (Python, Java, Go) and scripting for automationStrong understanding of network infrastructure and security principles, ensuring compliance with data regulationsBonus Skills
Experience with Neo4j and vector databases, setup, scaling, optimizationExperience deploying and running Machine Learning solutions, including LLMsBenefits
Join a pioneering joint venture at the intersection of AI and industry transformationWork with a diverse, collaborative team of expertsOpportunities for professional growth and continuous learningAdditional Details
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Information Technology
Industries : Technology, Information and Internet
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