Sr. Software Engineer, Internal Products

Posted 14 Hours Ago
Hiring Remotely in Location, WV
Remote or Hybrid
130K-160K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
First-of-its kind AI technology powering the future of alternative investments
The Role
Develop scalable backend services, manage data pipelines, and ensure high-quality code in a microservices architecture. Collaborate with teams to deliver integrated solutions.
Summary Generated by Built In
COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE: Sr. Software Engineer, Internal Products
LOCATION: New York City (hybrid) or Fully Remote in the United States
SALARY: $130,000 - $160,000 (based on NYC, will be adjusted for geo)
The Role:
We are looking for a Senior Software Engineer to join our Internal Products team, working on the critical backend systems that power Canoe's document processing and data delivery platform. You'll design and build scalable microservices, own complex data pipelines, and ensure our systems reliably process millions of alternative investment documents for institutional clients.
What You'll Do:
  • Develop and maintain backend services using Python, focusing on document validation, allocation workflows, and human-in-the-loop review systems.
  • Design and execute database migrations using Alembic and PostgreSQL, ensuring zero-downtime deployments and data integrity.
  • Build and optimize event-driven architectures using Kafka (AWS MSK) to process high-volume document workflows.
  • Connect microservices across multiple pods and teams, designing integration points that are resilient and well-documented.
  • Break down complex features into well-specified tasks and stories, collaborating with product managers and engineering leads.
  • Propose and implement architectural improvements that enhance system reliability, performance, and maintainability.
  • Review code and mentor teammates, ensuring high code quality standards and knowledge sharing.
  • Monitor production systems through Datadog and Splunk, participating in on-call rotation to troubleshoot and resolve incidents.
  • Deploy solutions to production environments, coordinating with DevOps on infrastructure changes and rollout strategies.
  • Communicate cross-functionally with engineering pods, product teams, and DevOps to deliver integrated solutions.
  • Document technical decisions, processes, and runbooks to enable team autonomy and knowledge continuity.

What We're Looking For:
  • 5+ years of software engineering experience with strong Python backend development
  • Experience with relational databases, particularly PostgreSQL, including schema design, query optimization, and migration strategies
  • Ability to work with distributed systems and event streaming platforms (Kafka, RabbitMQ, or similar)
  • Understanding of API design and microservices architecture patterns
  • Experience with cloud platforms (AWS preferred) and containerization (Docker)
  • Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate development and testing
  • Excellent problem-solving skills with a bias toward pragmatic, maintainable solutions
  • Strong communication abilities; comfortable collaborating across teams and documenting technical work
  • Experience participating in on-call rotations and production incident response
  • Bachelor's degree in Computer Science or related field, or equivalent practical experience

Preferred:
  • Experience with Terraform for infrastructure as code
  • JavaScript/TypeScript proficiency for full-stack contributions (Retool, frontend tooling)
  • Familiarity with AWS services (MSK, RDS, Lambda, S3, etc.)
  • Experience with LocalStack or similar local development tools
  • Background in financial services, fintech, or document processing domains
  • Experience with Retool or similar low-code platforms
  • Contributions to technical documentation or internal tooling

What You'll Get:
  • Medical, dental, vision benefits
  • Flexible PTO
  • 401(k)
  • Flexible work from home policy
  • Home office stipend
  • Employee Assistance Program
  • Gym/Wifi reimbursement
  • Education assistance
  • Parental Leave

Our Values:
  • Client First -> Listen, and deliver client-centric solutions
  • Be An Owner -> Take initiative, improve situations, drive positive outcomes
  • Excellence -> Always set the highest standard for yourself and others
  • Win Together -> 1 + 1 = 3

Who We Are:
Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.
Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Top Skills

AWS
Docker
JavaScript
Kafka
Postgres
Python
Terraform
Typescript

What the Team is Saying

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The Company
HQ: New York, NY
180 Employees
Year Founded: 2017

What We Do

Canoe offers first-of-its kind AI technology powering the future of alternative investments.

Canoe has reimagined the future of alternative investments with cloud-based, machine-learning technology for document collection, data extraction, and data science initiatives. We transform complex documents into actionable intelligence within seconds and empower allocators with tools to unlock new efficiencies for their business.

Since the beginning, we’ve maintained a focused, client-first approach to building and enhancing our technology and will continue to do so. By introducing automation to alternatives document collection and data management workflows, institutional investors, wealth managers, and general partners are seeing dramatic improvements in data accuracy and access, team efficiency, and client satisfaction.

Why Work With Us

At Canoe, we look for people who are open-minded, willing to roll up their sleeves, and constantly ask questions. We believe that diverse backgrounds and perspectives foster conversation and innovation, and collaborate to make each other better. Canoe's success is intertwined with each individual's success, which is why we focus on the team.

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Canoe Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Depending on role, employees may be hybrid in-office in NYC, London, or Jacksonville, or fully remote.

Typical time on-site: Flexible
HQNew York, NY
Jacksonville, FL
London, GB
Learn more

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