Quantum is a global technology partner delivering high-end software products that address real-world problems.
We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.
Here at Quantum, we are dedicated to creating state-of-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.
We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!
About the position
Quantum is expanding the team and has brilliant opportunities for a Senior DevOps Engineer. The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.”
Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.
Must-have skills:
5+ years of experience in DevOps, Database Administration, Database Engineering, or a similar infrastructure-focused role
Strong hands-on experience with database infrastructure, particularly Kafka and No-SQL. Deep understanding of database architecture, performance optimisation, scalability, high availability, replication, backup and recovery
Experience with database performance tuning, query optimisation, troubleshooting, and identifying database bottlenecks
Experience managing, maintaining, and scaling databases in production environments
Hands-on experience with Terraform, Kubernetes, Docker, and Linux
Understanding of database monitoring, observability, capacity planning, and reliability best practices
Experience with CI/CD pipelines and tools such as Jenkins, GitHub Actions, etc
Knowledge of Python and shell scripting for automation
Understanding of cloud-native architecture and infrastructure automation
A team player with excellent communication and collaboration skills
Ability to drive technical decisions, solve complex infrastructure problems, and organize multiple concurrent projects
At least an Upper-Intermediate level of English (spoken and written)
Your tasks will include:
Design, implement, and maintain reliable, scalable, and highly available database infrastructure
Manage, optimise, and scale database environments
Monitor database performance, troubleshoot bottlenecks, and improve query execution and resource utilisation
Ensure database reliability through replication, backup and recovery strategies, high availability, and disaster recovery planning
Analyze database performance and infrastructure capacity to identify potential issues before they affect production
Automate database administration, deployment, maintenance, and infrastructure management processes
Implement DevOps tools and cloud-native services to improve delivery, availability, and stability
Deploy and manage applications and supporting infrastructure on top of AWS
Triage and debug issues raised by internal users of a service
Suggest and implement operational and technical improvements to improve reliability, scalability, stability, and debuggability
Develop internal tools and scripts and fix infrastructure-related issues when needed
We offer:
Delivering high-end software projects that address real-world problems
Surrounding experts who are ready to move forward professionally
Professiona
