Sr. Back End Software Engineer

Recall Masters•Laguna Hills, CA

1d•Onsite

About The Position

Recall Masters is a leading B2B technology company in the automotive industry. We build data-driven software and operational workflows that improve recall outreach, customer engagement, and operational efficiency for dealer and OEM partners. Our core platform supports customer data management, service delivery operations, reporting, marketing campaign measurement, call center activity tracking, and ETL processes. Role overview We are hiring a Sr. Backend Software Engineer to own robustness, scalability, and security across our backend services. This is a senior role focused on building resilient, data-heavy systems in AWS. You will work closely with our CoFounder and Chief Architect, Chris Miller, to design and ship new capabilities, improve performance and reliability, and strengthen the architecture and operational maturity of the platform.

Requirements

3+ years of backend development experience
Strong Python skills and backend engineering fundamentals
Production experience with Django
AWS experience required, including development and operations of cloud applications
Experience solving security, authorization, scalability, and testability challenges
Experience with third-party integrations
Strong communication and collaboration skills
Proven ownership and ability to deliver complete solutions independently

Nice To Haves

AWS Lambda experience
PostgreSQL and Redshift performance optimization experience
Dremio experience
Familiarity with monolithic and microservice architectures
Event-driven backend implementation experience
Experience with Jira, GitHub, and CircleCI CI/CD pipelines
Affinity for infrastructure and proposing cloud solution ideas to improve scalability and reliability

Responsibilities

Build and maintain backend services using Python and Django
Design secure authorization and access control patterns
Improve scalability, performance, and reliability for cloud-based applications in AWS
Optimize data-heavy workflows and query performance (PostgreSQL, Redshift; Dremio as applicable)
Implement event-driven or asynchronous processing patterns where appropriate
Build and maintain third-party integrations with strong failure handling (retries, idempotency, monitoring)
Improve observability, including logging, metrics, alerting, and operational dashboards
Partner cross-functionally to translate needs into feasible solutions and clear deliverables
Maintain disciplined engineering workflows using Jira, GitHub, and CircleCI pipelines