Python Developer

Quantinno Capital Management LP

$150K — $225K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Computer Science, Engineering, or related field (or equivalent work experience)
  • 5+ years of experience in Cloud or Backend Engineering
  • Advanced Python proficiency (3.10+) with async programming experience
  • Proven expertise in AWS cloud infrastructure, certification is a plus
  • Strong experience with data-intensive workloads using libraries like Pandas or Polars
  • Solid understanding of event-driven architecture and service orchestration
  • Proficiency in Linux environments and shell scripting
  • Experience with Infrastructure as Code tools and CI/CD pipelines
  • Excellent communication skills for cross-team collaboration

Responsibilities

  • Design and develop scalable backend services for customer-facing and internal applications
  • Drive architectural decisions to enhance backend stack for scalability and maintainability
  • Implement and manage account systems and platform APIs focused on reliability and extensibility
  • Architect and implement data pipelines and cloud infrastructure services
  • Build and maintain serverless and event-driven systems using AWS services
  • Ensure high availability and observability of core services
  • Automate and optimize operational workflows for improved efficiency
  • Troubleshoot and resolve complex production performance bottlenecks

Benefits

  • Discretionary bonuses
  • Health, dental, and vision insurance
  • Paid Time Off
  • 401(k) plan contributions
  • Hybrid work model (4 days in-office, 1 day remote)
Full Job Description
Primary Responsibilities

We 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 applications
  • Drive architectural decisions and lead efforts to evolve our backend stack for scale and maintainability
  • Implement and manage account systems and platform APIs with a focus on reliability and extensibility
  • Architect 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 services
  • Automate and optimize operational workflows to improve efficiency across the firm
  • Troubleshoot and resolve complex performance bottlenecks and system issues in production
  • Stay current with AWS and Python ecosystem advancements and best practices

Qualifications
  • Bachelor's in Computer Science, Engineering, or a related field (or equivalent work experience)
  • 5+ 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

The salary range for this role will be between $150,000 and $225,000 per year. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health/dental/vision insurance, Paid Time Off, 401(k) and other benefits eligible to employees. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience. This position follows a 4:1 hybrid work model, out of our New York City office.

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