Innovation Hub:
Jefferies is creating a Technology Innovation Hub in Pune, a greenfield opportunity to build the systems that power global markets. As our first India technology center, this hub brings together hands on builders who engineer the platforms behind Jefferies’ growth across capital markets, investment banking, and institutional securities. We’re scaling toward an elite team of 500 engineers while maintaining the agility, ownership, and meritocratic spirit that defines Jefferies. From cloud and data to AI, risk, and core business technologies, teams in Pune will lead high impact work with a global mandate.
IT Risk Technology:
Risk Technology is a global, cross functional team responsible for enterprise risk platforms at Jefferies. The team works closely with Risk Management and Trading to identify, measure, and manage risk across the firm. It designs, implements, and supports largescale, data intensive systems that facilitate risk data management, advanced analytics, visualization, analysis, and reporting across various asset classes.
The India Risk Technology team is a strategic part of the global organization. Team members in India participate in the full lifecycle of the risk platform development — from design and engineering through enhancement and support — and take ownership of critical systems used by risk managers and senior leadership worldwide.
As Jefferies continues to modernize and expand its risk ecosystem, Risk Technology is building the next generation risk platform using cloud native architectures, distributed compute, containers, modern data platforms, advanced BI, and applied AI. Risk Technology plays a critical role in enabling informed decision making, strengthening firmwide controls, and supporting sustainable growth in an increasingly complex and dynamic market environment.
Job Description:
The position is for a Senior AWS Developer who will be part of Risk Technology team. The developer will play a key role in major transformation projects involving the end-to-end build of a modern, highly scalable, risk platform.
The role will involve the design, implementation, testing, and maintenance of risk analytics, data modelling, reporting, and management systems. This will be executed by implementing system components; coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting issues and resolving production problems.
Primary Responsibilities:
- Building key risk technology components
- Design, develop, and deploy cloud-native applications using AWS services such as Lambda, SQS, SNS, and API Gateway.
- Build and manage containerized applications using Kubernetes (EKS), Dockers, and Helm Charts.
- Develop automation scripts and backend services using Python and Boto3.
- Implement CI/CD pipelines and infrastructure as code using tools like CloudFormation, CDK, or Terraform.
- Collaborate with architects, DevOps, and product teams to define and implement cloud strategies.
- Interfacing with senior stakeholders in Risk Management and across the firm to gather requirements and resolve issues
- Contributing ideas and industry best practices to the wider Risk Technology group as part of design discussions and incident reviews
Essential Experience/ Skills:
- 7+ years of hands-on experience in AWS cloud development.
- Strong expertise in AWS Lambda, SQS, SNS, IAM, CloudWatch, and API Gateway .
- Experience with Kubernetes (EKS), Dockers, and Helm Charts for container orchestration and deployment.
- Proficiency in Python, SQL, and AWS SDKs (e.g., Boto3).
- Solid understanding of microservices architecture and event-driven design.
- Experience with CI/CD tools and infrastructure automation.
- AWS Certified Developer – Associate or AWS Certified Solutions Architect – Associate/Professional.
- Excellent problem-solving and communication skills.
- Experience in market risk, or credit risk
- Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline
Personal Attributes:
- Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues
- Strong verbal and written communication skills
- Self-starter and entrepreneurial in approach
- Ability to escalate and follow-up proactively
- Good time management skills
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