Sr. Solutions Engineer

Role overview

Workplace and compensation

• Hybrid schedule with three required days in the office.
• Salary range is USD 90,000–100,000 per year.

Domain ownership and engineering

• Own architecture and forward plans for business-critical systems and their integrations with finance, workforce, inventory, and reporting.
• Set configuration standards, release practices, and operational handoffs within enterprise architecture standards.
• Design, build, and deploy integrations, automations, and configurations; own production codebases for internally built software.
• Integrate AI into workflows where appropriate, including classification, extraction, retrieval, and language-model services, with task-based evaluation.
• Provide Tier 3 diagnosis for owned systems and own reliability, service levels, monitoring, alerting, and incident response.
• Design operational handoffs, participate in maintenance windows, and account for business-sensitive timing.

Partnership and team contribution

• Partner directly with business areas to translate operational needs into system capabilities and explain constraints with alternatives.
• Manage vendor relationships and contribute to platform evaluation and selection.
• Improve team capability through technical reviews, standards, teaching, and mentoring; document work for handoff and continuity.

Required experience and capabilities

• At least 8 years in solution engineering, systems integration, business systems, or software engineering.
• Demonstrated ownership of a system domain, including architecture, standards, decisions, and consequences when systems fail.
• Set technical practices adopted by other engineers; maintain hands-on ability to read code, write production code, and participate in design reviews.
• Owned a production codebase or internally built service, including failure accountability.
• Built AI into production systems, including LLM or classification models, retrieval, structured output, and evaluation; demonstrated judgment about when not to use AI.
• Deep integration experience with APIs, interface contracts, messages, events, and failure modes; delivered changes requiring another department to adjust operations.
• Owned reliability of operationally critical systems, including on-call and incident response; communicated technical constraints clearly.
• Worked in an environment replacing systems rather than merely maintaining them.

Education

• Bachelor's degree in computer science, information systems, engineering, or a related field, or equivalent professional experience.

Preferred qualifications

• Experience with physical operations and frontline staff, such as retail, logistics, warehousing, or manufacturing.
• ERP, finance, workforce-management, point-of-sale, payment processing, PCI-scoped systems, or operational automation experience.
• Experience with internally built software alongside commercial platforms, production agentic AI, model selection, or cost/performance analysis.
• Computer vision or automated classification in physical operations; nonprofit, public-sector, or mission-driven experience.
• Experience mentoring less experienced engineers.

About Evergreen Goodwill

Benefits

• Benefits include medical, dental, vision, and prescription coverage; employer-paid life and disability coverage; and voluntary supplemental coverage.
• Retirement savings plans, paid vacation, holidays and sick time, employee discounts, referral bonuses, an employee assistance program, mentoring, training, and career advancement opportunities are offered.