We're looking for a Senior Software Engineer who is deep in one domain and good in others; someone with genuine expertise in either Salesforce development or data engineering, with the breadth and AI fluency to deliver across both.

This is a small, high-impact IT team where everyone wears multiple hats. You'll move between gathering requirements, building Salesforce solutions, designing data pipelines, and integrating systems. We expect you to be an expert in your core domain and a fast, resourceful problem-solver everywhere else.

Our philosophy on AI: We use AI products (Anthropic, Cursor, Open AI) as core working tools, not novelties. Our team has built production data pipelines, governance workflows, and system integrations using AI-assisted development. We expect you to work the same way: use AI to accelerate your breadth, while your depth provides the judgment to validate the output.

Job Responsibilities:

Own end-to-end delivery of business systems projects from requirements gathering and stakeholder workshops through development, UAT, and deployment Build and maintain Salesforce solutions (Apex, LWC, Flows, integrations with ERP and business systems) Design and operate data pipelines (Airbyte, dbt, Dagster) and maintain BI dashboards (Tableau) Write technical specifications, manage roadmap prioritization, and drive change management Use AI tools daily to accelerate development, analysis, and problem-solving Mentor team members and champion best practices across SDLC and data governance

Requirements

Minimum Qualifications:

5+ years in software engineering, business systems, or enterprise applications Strong written and verbal English communication skills Ability to gather business requirements and translate them into technical solutions Working knowledge of SQL, system integrations, and APIs (REST/SOAP) AI proficiency, you actively use AI to write code, debug, and learn new technologies. Demonstrated ability to deliver in unfamiliar technical domains

Required Skills:

Fast learner: masters new tools and domains quickly; uses AI, docs, and experimentation to self-teach Strong communicator: translates technical concepts for business stakeholders; writes clear documentation; facilitates workshops Organized: manages multiple projects without dropping balls; proactively flags risks and blockers Results-driven: measures success by business impact, not features shipped; takes ownership of outcomes Autonomous: requires minimal supervision; makes sound decisions with incomplete information; knows when to ask for help