Описание:
The team develops a next-generation valuation and risk management platform on Microsoft Azure. The platform provides scalable, cost-efficient cloud infrastructure, automated data lineage, and itemized cost metrics, supporting Front Office, Finance, and Risk functions while improving regulatory compliance.
Задачи:
- Develop and maintain big data solutions using Apache Spark
- Build complex production systems with Java and Scala
- Contribute to platform engineering initiatives on Microsoft Azure
- Build, maintain, and enhance CI/CD pipelines using cloud-friendly build systems such as GitLab
- Implement containerization strategies across development, build, and runtime environments
- Deploy and orchestrate containerized workloads with Kubernetes
- Collaborate with Front Office, Finance, and Risk teams to deliver platform capabilities
- Ensure the scalability, performance, and cost-efficiency of cloud PaaS components
- Participate in architectural discussions and influence technical decisions
Требования:
- 2+ Years of software development experience with big data technologies
- Expertise in Apache Spark for big data processing
- Proficiency in Java and Scala for building complex production systems
- Platform engineering experience with a major cloud provider; Microsoft Azure is preferred
- Experience developing and operating CI/CD pipelines using GitLab or similar cloud-friendly build systems
- Hands-on experience with containerization and Kubernetes across development, build, and runtime environments
- Ability to collaborate effectively in a large global team
- English proficiency at Upper-Intermediate level (B2) or higher
- Будет плюсом: Production experience with Terraform on a major public cloud provider, experience with Databricks, knowledge of Python, information modeling, data structures and algorithms, testing, instrumentation, observability and alerting tools, technical architecture and low-level design, Agile development and planning practices
Условия:
3 Days in the office in “flex-hybrid” mode