Staff Engineer – Backend
Listed on 2026-08-30
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Software Development
Backend Developer
Opiniion is a resident experience tool that partners with property management to create better living experiences for their residents. Our platform has helped thousands of property managers collect and act on real-time feedback, improve resident experiences, and enhance their online reputation. Opiniion is committed to exceptional service and innovation, earning recognition as one of America's fastest-growing private companies. Driven by a forward-thinking team, we're shaping the future of resident engagement.
Our continued growth and commitment to innovation make this an exciting time to be part of our team! Opiniion is a resident experience tool that partners with property management to create better living experiences for their residents. Our platform has helped thousands of property managers collect and act on real-time feedback, improve resident experiences, and enhance their online reputation. Opiniion is committed to exceptional service and innovation, earning recognition as one of America's fastest-growing private companies.
Driven by a forward-thinking team, we're shaping the future of resident engagement.
Our continued growth and commitment to innovation make this an exciting time to be part of our team!
Lehi, UT - Hybrid (Monday-Wednesday in office)
EMPLOYMENT TYPEFull-time
Position OverviewOpiniion is building the next generation of its platform while continuing to evolve the systems that support customers today. The Staff Engineer, Backend role exists to raise the bar for backend engineering across both environments: writing production-grade code, mentoring engineers, and guiding the patterns and standards that keep services scalable, reliable, and maintainable.
This is a hands-on senior individual contributor role for someone who can lead through technical judgment and execution. You will partner closely with architecture and engineering leaders to shape backend systems, make pragmatic design decisions, and help the team move faster without compromising quality.
Responsibilities- Write high-quality backend code for production systems that support performance, reliability, and long-term maintainability.
- Help govern backend architecture standards, patterns, and service boundaries in partnership with the Staff Software Architect.
- Mentor engineers through code reviews, technical guidance, pairing, and thoughtful feedback.
- Design and ship services, APIs, and data flows that support both the current platform and the company's next-generation architecture.
- Contribute to AI-capable backend systems, including the infrastructure and workflows needed to support LLM-based or agentic features in production.
- Identify and resolve performance, scalability, and reliability issues across backend services and supporting systems.
- Drive strong engineering practices in testing, observability, deployment, and operational readiness.
- Participate in technical design reviews and help teams make sound tradeoffs between speed, complexity, and maintainability.
- Collaborate cross-functionally with product, data, and platform partners to deliver backend solutions that support customer and business goals.
- Help improve the team’s technical execution by identifying recurring issues, reducing ambiguity, and reinforcing clear patterns for development.
- 10+ years of backend software development experience, including meaningful time operating at a staff level or equivalent senior technical scope.
- Proven experience designing and shipping scalable backend systems in a SaaS or similarly complex product environment.
- Strong knowledge of backend architecture patterns such as service-oriented design, event-driven systems, and domain-driven design.
- Deep proficiency in at least one backend language such as Python, Java, Go, or a comparable technology.
- Experience designing and evolving APIs across REST, GraphQL, gRPC, or similar approaches.
- Hands-on experience with cloud infrastructure and modern deployment environments, including containerized systems.
- Experience integrating AI or LLM capabilities into production applications, not only prototypes or experiments.
- Strong understanding of data access patterns, performance…
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