Lower

SDET

• Work closely with Product & Design team to understand product requirements across different internal and external applications
• Develop and document manual + automated testing plans based on product requirements
• Review business requirements and recommend changes to develop reliable applications
• Build automated e2e testing using the Playwright testing automation framework
• Build automated API tests using Postman or similar as well as implementing automated tests in code
• Build and analyze performance tests
• Perform manual & exploratory testing as appropriate
• Automate regression testing for scalability
• Work with engineers to write API tests in code using Typescript
• Work with the engineering and product teams to streamline and automate release processes while still ensuring stability & quality
• Work with stakeholders and business experts to ensure critical financial math is completely accurate and in line with mortgage industry standards
• Help integrate testing processes into CI/CD pipelines
• Aid users and program teams in investigating and reproducing bugs found in production
• Work with management to prioritize and categorize bugs
• Identify applications & areas of applications that produce notably higher bug rates
• Become an expert in the expected and desired behavior of mortgage applications
• Explore and develop AI testing frameworks, confirming areas where it is an effective tool and where it is not

SDET/QA Automation Engineer

Data Engineer

• Build, maintain, and optimize data pipelines across a variety of source systems.
• Support and improve our core data warehouse infrastructure, primarily in Snowflake, with some legacy warehouse environments such as Redshift.
• Develop and maintain transformation logic, models, and reusable data assets using tools such as dbt.
• Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making.
• Support BI and reporting workflows across Looker and Domo, partnering with analysts and business teams to ensure trusted, consistent metrics.
• Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations.
• Write and maintain production-quality SQL, Python scripts, and transformation workflows.
• Partner with analysts and business stakeholders to understand data needs and translate them into reliable, scalable data solutions.
• Help ensure our data is accurate, timely, well-documented, and trusted by the teams that rely on it.
• Explore and adopt AI-assisted engineering tools such as Claude Code, Cursor, and other agentic AI frameworks to improve development velocity, documentation, testing, data quality, and operational efficiency.
• Support warehouse migrations, platform consolidation, and modernization efforts as the company continues to scale.
• Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations.
• Contribute to data quality monitoring, observability, governance, and process improvements.

Senior Data Engineer

Sales

• Serve as a dedicated Salesforce administrator for Lower DTC, owning Sales Cloud and Service Cloud configuration, user management, profiles, permission sets, roles, and security.
• Build and maintain flows, validation rules, page layouts, record types, custom objects, and fields that support a high-velocity DTC sales and service environment.
• Own data quality, deduplication, imports, and ongoing hygiene to ensure Salesforce is a reliable source of truth across teams.
• Deliver real-time visibility into pipeline, contact center performance, and funnel health for sales leaders and ops.
• Serve as a primary administrator for our dialer platform: managing configuration, user setup, call routing, disposition mapping, and performance optimization.
• Play an active role in evaluating and potentially migrating to new telephony platforms.
• Maintain and optimize the bi-directional integration between our dialer and Salesforce.
• Partner in the evaluation, selection, and onboarding of an AI-powered inbound and outbound dialer platform.
• Proactively identify dialer configuration opportunities that improve connect rates, rep efficiency, and compliance posture.
• Shared accountability in the administration and health of all technology integrated with the CRM.

Salesforce, Telephony System Administrator

Full-stack Engineer

• Lead the design and evolution of scalable, reliable, and maintainable distributed systems
• Drive architectural decisions across teams while balancing performance, cost, complexity, and long-term platform scalability
• Promote best practices in readability, maintainability, and scalability through constructive code reviews
• Partner with engineering, product, and business leaders to translate strategic business initiatives into scalable technical solutions
• Mentor junior and mid-level engineers, providing guidance on coding practices, system design, and career development
• Proactively identify and resolve technical, operational, or coordination roadblocks impacting engineering teams
• Influence long-term technical direction, helping shape architecture and tech stack decisions

SDET/QA Automation Engineer

Senior Data Engineer

Salesforce, Telephony System Administrator

Staff Software Engineer