Senior/Staff Software Engineer, Buyside Team at Polly

Dallas, Texas, United States

Polly Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software, SaaSIndustries

Requirements

Candidates should have 6-9 years of experience with a Bachelor's degree or 4-7 years of experience with a Master's degree. A senior-level skill set in core programming languages like Python, Java, C#, C/C++, and strong expertise in modern frontend technologies such as JavaScript, TypeScript, and frameworks like React or Vue are required. Experience with distributed task queues, asynchronous processing frameworks (e.g., Celery, Kafka), distributed systems, inter-service communication protocols, APIs (e.g., REST, NSQ), transactional systems, and relational databases with SQL is essential. In-depth knowledge of JavaScript, TypeScript, and Vue is mandatory. Experience with public cloud services (AWS, GCP), containerization (Docker/Kubernetes), building scalable/redundant services, service monitoring, metrics, alerting, log aggregation, tracing, and functional/acceptance testing are considered beneficial.

Responsibilities

The Senior/Staff Software Engineer will develop and maintain mission-critical services using Python, Django, JavaScript, Vue.js, PostgreSQL, and AWS. They will take ownership of technical solutions from planning to production deployment, diagnose and resolve technical problems, and build unit tests and automation to ensure feature quality. Responsibilities include creating maintainable code through documentation, clean architecture, and comprehensive testing. Engineers will shape the architecture by contributing to key decisions about the platform's design and future direction. They will actively participate in interviewing and evaluating new team members, guide engineering practices, establish pragmatic standards for code quality, and support junior team members through mentorship and technical guidance. Reviewing code and driving technical excellence through best practices and the latest tools are also key duties, along with maintaining a working knowledge of advances and trends in programming and technology.

Skills

Python
Django
JavaScript
Vue.js
PostgreSQL
AWS
Distributed Systems
Scalability
Continuous Development
Software Architecture
Code Review
Mentorship

Polly

Cloud-based platform for mortgage operations

About Polly

Polly.io offers a platform designed to improve the mortgage industry by making operations more efficient for lenders. The platform is cloud-based, which means it uses internet technology to provide secure and scalable services. This allows lenders to access advanced tools for data analysis and machine learning, helping them to price loans and manage loan locks more accurately and quickly than traditional methods. Polly.io also features a Loan Trading Exchange that connects buyers and sellers of mortgage loans, making the process more transparent and efficient. By providing real-time analytics and market insights, Polly.io helps lenders make better decisions. The goal of Polly.io is to empower lenders of all sizes to enhance their productivity and profitability through its comprehensive suite of tools.

San Francisco, CaliforniaHeadquarters
2019Year Founded
$74.9MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Fintech, Financial ServicesIndustries
51-200Employees

Benefits

Professional growth & upward mobility
Competitive salaries
100% paid medical/vision/dental/disability/life insurance
Unlimited PTO
Remote environment

Risks

Increased competition from similar fintech solutions could erode Polly's market share.
Continuous technological advancements may require costly updates to Polly's platform.
Economic downturns could negatively impact demand for Polly's mortgage services.

Differentiation

Polly offers the industry's first cloud-native, commercially scalable Product and Pricing Engine.
The platform integrates advanced data science and machine learning for superior mortgage pricing accuracy.
Polly's Loan Trading Exchange enhances transparency and efficiency in the mortgage loan sale cycle.

Upsides

Polly's cloud-based platform aligns with the industry's digital transformation trend.
The integration with nCino enhances loan officer mobility and engagement opportunities.
Polly's Lender Intelligence tool provides valuable market insights for data-driven decisions.

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