[Remote] Lead Python Engineer – Data Platforms at Varicent

Mexico

Varicent Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, Data Management, Revenue OptimizationIndustries

Requirements

Candidates should possess over 7 years of professional experience in building backend applications, with Python as their primary language. A solid background in developing distributed, cloud-native applications, preferably on AWS, is required. Familiarity with REST API design, microservices, and event-driven architectures is necessary. Strong problem-solving skills and a passion for writing clean, maintainable, and testable code are essential. Proven ability to collaborate effectively in remote, cross-functional teams and strong English communication skills are also required. Experience in mentoring, code review, and technical leadership is a plus.

Responsibilities

The Lead Python Engineer will design, build, and maintain scalable backend services primarily using Python. They will develop and enhance APIs, ensuring they are secure, performant, and user-friendly. The role involves leveraging AWS services such as Lambda, S3, DynamoDB, Redshift, and RDS to deliver robust cloud-native solutions. Responsibilities include leading the design and implementation of new features with a focus on scalability and reliability. Collaboration with product, design, and QA teams to bring ideas from concept to production is expected. Improving automation and developer efficiency through modern CI/CD pipelines and Infrastructure-as-Code (Terraform, Serverless Framework) is part of the role. Additionally, the engineer will mentor and support other developers to elevate the team's technical standards.

Skills

Python
Data Platforms
Backend Services
ELT
SaaS
Scalability
Reliability
AI

Varicent

SaaS solutions for revenue growth management

About Varicent

Varicent provides software solutions that help businesses improve their revenue growth. Their products allow companies to create effective territory and quota plans, streamline their revenue operations, and design incentive programs that motivate sales teams. Varicent's software works by offering tools that enable users to analyze data and make informed decisions about their sales strategies. What sets Varicent apart from its competitors is its focus on the specific needs of revenue leaders, ensuring that their solutions are tailored to help clients achieve their growth goals. The main aim of Varicent is to empower businesses to optimize their sales performance and revenue management processes through data-driven insights.

Toronto, CanadaHeadquarters
2003Year Founded
$34MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
501-1,000Employees

Risks

Generative AI-based Assistants may face data privacy and security challenges.
Strategic investment may increase pressure for rapid growth, straining resources.
Acquisition of Concert Finance may present integration challenges.

Differentiation

Varicent's Generative AI-based Assistants enhance sales planning and data transformation.
Strategic investment enables Varicent to accelerate AI-driven capabilities and market position.
Recognition in The Forrester Wave™ highlights Varicent's leadership in the SPM sector.

Upsides

Generative AI-based Assistants provide a competitive edge in the SPM market.
Strategic investment supports rapid development of AI-driven capabilities.
Acquisition of Concert Finance expands Varicent's commissions software capabilities.

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