Benefits and culture
Left Main REI offers a collaborative and inclusive environment with flexible remote work options and clear opportunities for growth. You will have access to Salesforce certification incentives, a strong emphasis on professional development, and a supportive team that values product-minded thinking. The company provides a comprehensive benefits package to support you and your family, including 401(k) with matching, health, dental, and vision insurance, life insurance, paid time off, paid holidays, and a flexible schedule.
Responsibilities
- Design, build, maintain, and optimize backend services and RESTful APIs that connect Left Main products, Salesforce, Snowflake, AWS, and external data providers.
- Develop and operate serverless and cloud-native systems using AWS services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, Kinesis, and related services.
- Build reliable data-processing workflows for real estate data ingestion, enrichment, scoring, subscriptions, matching, deduplication, and delivery back into customer-facing applications.
- Design scalable Snowflake-backed workflows, including SQL transformations, stored procedures, Snowpark or Python-based processing, and performance optimization.
- Architect and implement GenAI and AI-powered product capabilities, including role-based agents, retrieval-augmented generation, prompt workflows, AI-assisted analysis, customer-facing copilots, and internal productivity tools.
- Prototype new AI use cases quickly, evaluate technical feasibility, and move promising experiments into secure, reliable, production-ready services.
- Collaborate with Salesforce engineers to design integration patterns using Platform Events, APIs, async processing, and well-defined data contracts between Salesforce, AWS, and Snowflake.
- Support predictive and ML-enabled use cases such as lead scoring, buyer scoring, property intelligence, recommendation workflows, anomaly detection, and customer insights.
- Improve reliability, observability, and operational maturity across backend systems through structured logging, monitoring, alerting, automated tests, and clear incident response practices.
- Contribute to CI/CD, infrastructure automation, environment management, and deployment practices for backend and data services.
- Bring ideas, technical curiosity, and product-minded thinking to roadmap discussions, architecture reviews, and innovation planning.
Requirements
- 2+ years of professional backend engineering experience building production-grade APIs, services, data workflows, or cloud-native systems.
- Strong hands-on experience with Python for backend development, scripting, automation, data processing, or AI/ML workflows.
- Experience building RESTful APIs and integrating systems through APIs, webhooks, event-driven patterns, or message-based architectures.
- Strong working knowledge of AWS, especially serverless or cloud-native services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, SQS, SNS, Kinesis, or similar technologies.
- Strong SQL skills and experience working with modern data warehouses, preferably Snowflake.
- Experience designing systems that are reliable, secure, observable, cost-conscious, and maintainable.
- Familiarity with modern AI and GenAI development patterns, such as LLM APIs, prompt engineering, RAG, embeddings, vector databases, model evaluation, agent workflows, or AI-assisted automation.
- Ability to use modern AI development tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or similar tools to improve development speed, code quality, documentation, and problem solving.
- Experience working with CI/CD pipelines, GitHub Actions, automated testing, infrastructure-as-code, or deployment automation.
- Comfort working in a fast-moving startup environment where priorities evolve and engineers are expected to own outcomes, not just tickets.
- Strong communication and collaboration skills, with the ability to partner across product, engineering, data, Salesforce, and leadership teams.
- Salesforce Certification (Required).
Technologies
- Python
- AWS
- Lambda
- API Gateway
- S3
- IAM
- CloudWatch
- EventBridge
- Kinesis
- SQS
- SNS
- Snowflake
- Snowpark
- SQL
- Salesforce
- Salesforce Platform Events
- GitHub Actions
- GitHub Copilot
- Cursor
- ChatGPT
- Claude
- LLM APIs
- prompt engineering
- RAG
- embeddings
- vector databases
Compensation and Location
Salary: USD 100,000 - 140,000 per year
Location: Remote (Charlotte, NC)
Job Type: Full-time
Benefits: 401(k), 401(k) matching, Dental insurance, Health insurance, Vision insurance, Life insurance, Paid time off, Paid holidays, Flexible schedule, Flexible remote work arrangements, Opportunities for professional growth and development, Salesforce certification incentives
