Python DeveloperQuantinno Capital Management, established in 2018 by alumni from some of the world's largest investment firms, is an asset manager specializing in innovative tax-aware investment strategies. Leveraging expertise in quantitative investment approaches, Quantinno offers tailored solutions for taxable investors. Quantinno currently manages over $40 billion in assets on behalf of some of the largest Family Offices, Multi-Family Offices, and Registered Investment Advisors (RIAs) in the country.Primary ResponsibilitiesWe are seeking an exceptionally talented Python Developer to join our growing technology team.
This individual will be instrumental in scaling and improving our mission-critical backend and cloud infrastructure. The ideal candidate brings a track record of delivering secure, high-performance distributed systems on AWS.Design and develop scalable backend services to support customer-facing and internal applicationsDrive architectural decisions and lead efforts to evolve our backend stack for scale and maintainabilityImplement and manage account systems and platform APIs with a focus on reliability and extensibilityArchitect and implement data pipelines and infrastructure (AWS S3, DynamoDB, ElastiCache, Redshift, etc.)Build and maintain serverless and event-driven systems (AWS Lambda, SQS, EventBridge, Amplify, API Gateway, etc.)Ensure high availability, fault tolerance, and observability of core servicesAutomate and optimize operational workflows to improve efficiency across the firmTroubleshoot and resolve complex performance bottlenecks and system issues in productionStay current with AWS and Python ecosystem advancements and best practicesQualifications• Bachelor's in Computer Science, Engineering, or a related field (or equivalent work experience)• 7+ years of experience as a Cloud Engineer, Backend Engineer, or a related role• Advanced Python proficiency (3.10+), including modern features and async programming• Proven expertise in AWS cloud infrastructure and its inner workings (certification a plus)• Strong experience with data-intensive workloads and libraries such as Pandas, PyArrow, Polars, or similar in cloud-native or distributed settings• Solid understanding of event-driven architecture, message queues and service orchestration patterns• Proficiency in Linux environments, system administration, and shell scripting• Experience with IaC tools (Terraform, CloudFormation) and CI/CD pipelines• Excellent communication skills and ability to work collaboratively across teams and functions