Senior DevOps

1 day ago

Singapore Complexio Full time

Join to apply for the
Senior DevOps
role at
Complexio
2 days ago Be among the first 25 applicants
Join to apply for the
Senior DevOps
role at
Complexio
Description
Complexio is a Foundational AI company that automates business activities by ingesting structured and unstructured company data to understand and replicate human interactions using proprietary models and algorithms.
As a DevOps engineer at our AI product company, you will define and create platforms for deploying, managing, and optimizing 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 seamless product delivery. This role combines cloud technologies and database management, addressing 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 work on long-term goals
Ability to document and explain technical details clearly, with strong communication skills
Interest and experience in early-stage software development and problem-solving
Key Responsibilities
Deploy, manage, and scale cloud infrastructure to meet SLAs
Manage graph and vector databases for performance and reliability
Maintain and operate platform observability
Ensure system security and compliance with data protection laws
Provide technical support and troubleshoot issues
Document configurations and generate performance reports
Manage infrastructure costs
Preferred Qualifications
M.Sc or Ph.D in Computer Science or related field
At least 7 years of experience in deploying and managing cloud infrastructure (AWS, Azure, Google Cloud)
At least 3 years working with Kubernetes environments
Proficient in managing and scaling Kubernetes clusters
Experience with cloud-native technologies, CI/CD, Docker
Familiarity with data integration from multiple sources in distributed systems
Proficiency in at least one programming language (Python, Java, Go)
Strong understanding of network infrastructure and security principles
Bonus Skills
Proficiency with Neo4j and vector databases
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, collaborative team
Opportunities for professional growth and continuous learning
Additional Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Internet
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