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We are assembling a strong DevOps Engineering team to build next generation in-house platforms for several business lines. Our technology teams provide a dynamic and fast-paced environment with excellent growth opportunities.
Responsibilities
Responsibilities
- Work closely with quants, portfolio manager, risk managers and other engineers in New York, Chicago, Miami, Singapore, and Bangalore to develop data intensive and multi-asset analytics for our Fixed Income, Risk, and Commodities platforms
- Gather requirements and user feedback in collaboration with fellow engineers and project leads
- Design, build and refactor robust software applications with clean and concise code following Agile and continuous delivery practices
- Automation of system maintenance tasks, end-of-day processing jobs, data integrity checks and bulk data loads/extracts
- Staying abreast of industry trends, new platforms and tools, and coming up with a business case to adopt new technologies
- Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS – Aurora/Redshift/Athena/S3)
- Support users and operational flows for quantitative risk, senior management and portfolio management teams using the tools developed
- Advance degree in computer science or any other scientific fields
- 5-8 years of experience in CI/CD Tools like TeamCity, Jenkins, Octopus Deploy and ArgoCD.
- AWS Cloud infrastructure design, implementation and support. Experience with multiple AWS Services.
- Infrastructure as Code deploying cloud infrastructure using Terraform or Cloudformation.
- Knowledge of Python (Flask/FastAPI/Django)
- Demonstrated expertise in the process of containerization for applications and their subsequent orchestration within Kubernetes environments.
- Experience working on at least one monitoring/observability stack (Datadog, ELK, Splunk, Loki, Grafana).
- Strong knowledge of Unix or Linux
- Strong communication skills to collaborate with various stakeholders
- Able to work independently in a fast-paced environment
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work
- Experience working in a production environment.
- Some experience with relational and non-relational databases.
- Experience with a messaging middleware platform like Solace, Kafka or RabbitMQ.
- Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark)
Key Skills
Ranked by relevance
python
cloud
aws
continuous delivery
containerization
spring boot
kubernetes
terraform
jenkins
datadog
devops
splunk
hadoop
kafka
java
loki
unix
cicd
elk
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- Posted
- Feb 09, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Singapore
- Company
- Millennium
Industries
Investment Management
Categories
Engineering
Information Technology
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