Sr. Software Development Engineer

Storable•Seattle, WA

1d•Hybrid

About The Position

Senior Software Development Engineers own substantial technical outcomes within a team and help sister teams deliver effectively. They turn ambiguous requirements into simple, reliable solutions while raising the quality of engineering practices. The role works across Engineering and partner functions to deliver customer value in Storable’s FMS, CRM, Commerce, Marketplace, and shared technology capabilities. It leads meaningful projects hands-on, makes sound design decisions, and helps teammates grow through practical coaching and technical feedback. The engineer owns complex features, services, or workflows from problem definition through production operation; leads project execution and coordinates dependencies across Engineering teams; and makes pragmatic decisions about APIs, data models, service boundaries, testing, observability, and operational readiness. The role writes production code, reviews designs and pull requests, resolves difficult technical issues, and improves reliability, performance, security, and maintainability. It also partners with Product and business stakeholders, contributes to architecture discussions, uses AI-assisted tools to improve engineering work, applies AI and automation where appropriate, and mentors engineers. Applicants must be currently authorized to work full-time in the United States and able to work a hybrid schedule in Storable’s Bellevue, Washington office.

Requirements

At least 5 years of software development experience, including strong expertise in distributed systems, APIs, and service-oriented architecture.
Experience delivering and operating production software, with increasing ownership of complex systems or product areas.
Strong software engineering fundamentals, including system design, APIs, data modeling, testing, observability, and version control.
A record of leading projects within a team and collaborating with sister teams to resolve dependencies and deliver shared outcomes.
Ability to make and communicate technical tradeoffs, influence decisions through evidence, and work effectively with Product and non-technical partners.
A hands-on approach to writing and reviewing code, investigating production behavior, and remaining accountable after launch.
Experience using AI tools or an AI-forward mindset, with a track record of applying AI to improve engineering productivity, product quality, or operational workflows.
Current authorization to work full-time in the United States and ability to work a hybrid schedule in the Bellevue, Washington office.

Nice To Haves

Experience with distributed systems, event-driven architecture, cloud platforms, or high-availability production services.
Experience with FMS, CRM, commerce, payments, subscriptions, or other business-critical workflows.
Experience leading migrations, service decomposition, or improvements across team boundaries.
Experience with AI/GenAI application patterns, agent-callable services, evaluation practices, or intelligent automation.
Experience mentoring engineers and improving team standards for design, testing, observability, and operational excellence.
Experience supporting multiple markets, local payment methods, compliance requirements, or international product expansion.

Responsibilities

Own the design and delivery of complex features, services, or workflows from problem definition through production operation.
Lead technical execution for team projects and coordinate dependencies with sister teams in Engineering.
Make pragmatic decisions about APIs, data models, service boundaries, testing, observability, and operational readiness.
Write production code, review designs and pull requests, and resolve difficult technical issues without close direction.
Improve system reliability, performance, security, and maintainability, and identify recurring sources of operational work.
Partner with Product and business stakeholders to clarify tradeoffs, sequence delivery, and connect engineering work to customer outcomes.
Contribute to architecture discussions beyond the immediate team and help teams converge on consistent technical approaches.
Use AI-assisted development and operational tools to improve delivery speed, test coverage, documentation, and decision quality.
Apply AI and automation to product workflows, customer insight, or team operations when appropriate, with attention to quality and safety.
Mentor engineers through pairing, code reviews, design feedback, and examples of strong engineering practice.

Benefits

Generous health coverage for employees and their families.
Fully paid short- and long-term disability coverage.
Life insurance equal to two times base salary.
401(k) match after 60 days, with 100% vesting after one year.
Employer contribution to an HSA and an HRA to help offset the deductible.
Flexible vacation with a take-what-you-need policy.
Company rewards and recognition redeemable for personalized gifts and experiences.
Eight hours of Volunteer Time Off each year and opportunities to join community service events.
Eight hours of Rest, Relax, Recharge time for mental health.
Mental well-being resources for employees and dependents, including counseling, stress management programs, and mindfulness workshops.
Fully paid parental leave: 12 weeks for primary caregivers and 6 weeks for secondary caregivers.
Pet-related time-off policies, including Pawternity Leave and Pet Bereavement.
Four weeks of fully paid caregiver leave to care for aging dependents or family members.
$50 monthly home data stipend and a $250 home office sign-on bonus.
Fertility care support options.
Access to financial experts.
Direct Student Loan Payment Program, subject to qualifications and eligibility rules.