Principal Software Engineer

As the Principal Software Engineer, you will support the planning, development and use of middleware technologies and services for integrating systems and exposing, transporting and consuming data in a secure and reliable manner across a hybrid of applications, services and trading partners both on premise and in the Cloud.

Responsibilities

• Experience in designing and implementing infrastructure for running long-term and short-term models using Containerization technologies
• Deep Trading skills in Pre-trade analytics and Fundamentals. Expertise in the functional and technical know-how of processing and analyzing the outcome from the fundamentals data
• Experience with Cloud cost optimization and implementing cloud-based telemetry and monitoring
• Solution consultation and development in accordance with the enterprise technology principles, methods, standards, and practices
• Estimation, solution design, detailed technical design, application technical deliverables including code, associated tests and documentation
• Effectively running a sub team of at least 4+ DevOps and cloud specialists

What you bring

As Principal Software Engineer, you should possess experience in evaluating and deriving trade relevant information from the variety of fundamental data – Weather, temperature etc. available from external sources. The candidate should be able to deliver visualization solutions for such data highlighting the key knowledge points useful in pre-trade analytics.

Skills & Requirements

• Extensive relevant experience in the industry in C#, Containerization using Docker, Kubernetes with deep trading skills in Pre-trade Analytics, Quant Model evaluation & proven expertise in building robust infrastructure to run complex Quant Models
• Must have significant experience in Azure, and Kubernetes / AKS
• Strong proficiency in C# and .NET Core development
• Demonstrated expertise in building scalable, high-performance systems using modern programming practices
• Ability to design and implement robust, maintainable, and efficient codebases that meet business requirements in GitHub & ADO
• Deep knowledge of software design principles, including Event-Driven Architecture, Orchestration, and other best practices for creating scalable, high-performance systems
• Proficient in applying design patterns to solve complex problems, ensuring system reliability, flexibility, and maintainability
• Deep Trading skills in Pre-trade analytics and Fundamentals. The candidate should possess technical & functional experience of analyzing data and metrics before trade execution. Implement IT solutions which enhance decision making for Traders while minimizing risks & optimizing performance

Infrastructure for Long-Term Models

• Proven experience in designing and implementing infrastructure for running long-term and short-term models
• Expertise in setting up systems to handle large datasets, including models running for over two decades of data, using Azure Kubernetes Services (AKS) for orchestration and Docker for containerization to ensure scalability, portability, and efficient management of workloads
• Proficient in leveraging AKS to deploy and manage distributed systems, enabling seamless execution of complex models and workflows

Cloud Proficiency (Azure/AWS)

• Proficient in deploying applications using Azure App Services, Azure Kubernetes Service (AKS), Virtual Machines, and Azure Container Apps for diverse workloads, including legacy systems and serverless containerized solutions
• Proficient in using Azure Container Registry (ACR) for securely storing and managing container images
• Proficiency in Azure security encompasses expertise in safeguarding cloud resources and data through advanced security measures. This includes managing Azure Active Directory (AAD) for identity and access control, implementing Role-Based Access Control (RBAC) for granular permissions, and securing sensitive information using Azure Key Vault
• Proficient in-Service bus and Kafka services
• Proficient in complex Azure SQL and Blob storage strategies for hot and cold storage

Hands on experience with Cost Optimization techniques

• Skilled in saving large time-series data to Azure in epoch time-series format, which significantly improves system performance and reduced storage costs
• Proven experience of implementing various cost-saving techniques across different environments to reduce operational expenses, including but not limited to –
• Optimize storage costs
• Dynamic Autoscaling
• Save Time-Series Data efficiently
• Optimize Virtual Machine Usage
• Using reserved instances
• Moving data from structured relational DB to object storage

DevOps & CI/CD

• Strong experience in setting up and managing pipelines in Azure DevOps (ADO):
• Proficient in creating and maintaining CI/CD pipelines for different environments, enabling automated code deployment and ensuring seamless integration and delivery processes
• Expertise in Git for version control and collaborative software development
• Proven experience in setting up and managing IaC using Terraform/ARM templates for automated and consistent infrastructure deployment

SOX Compliance

• Expertise in implementing SOX-compliant systems and creating secure, high-integrity environments for critical services