Are you a seasoned engineer with a passion for building extensible, scalable platform frameworks? Do you enjoy designing systems that other engineering teams build on top of and guiding teams through technical complexity? Are you energized by ambiguous architecture challenges, iterative problem solving, and strengthening the foundations of an enterprise platform? If so, we invite you to be a part of our innovative team.
As a Staff Software Engineer on Ridgeline’s Enterprise Frameworks team, you will help design and evolve foundational platform capabilities that product engineering teams build on top of every day. Today, this includes frameworks such as Search, Audit Trail, and Custom Fields; over time, the team’s scope will expand as new shared capabilities emerge across the platform. This role requires strong software architecture judgment, creative iterative thinking, and the ability to turn ambiguous product and platform needs into scalable, extensible systems. You’ll help teams design data models, APIs, and event-driven workflows, making practical tradeoffs and building systems that can grow with Ridgeline. You’ll collaborate closely with Platform, Product, and other engineering teams across Ridgeline to solve high-impact challenges using modern technologies, including AI tools like Claude Code and ChatGPT.
At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If the Ridgeline Way excites you, we’d love to meet you.
You must be work authorized in the United States without the need for employer sponsorship.
The impact you will have:
- Design, build, and evolve extensible enterprise platform frameworks that enable product teams to add configurable, searchable, auditable, and operationally reliable capabilities to their applications.
- Lead architecture discussions for shared infrastructure, including data models, APIs, event-driven workflows, indexing pipelines, background jobs, and operational patterns.
- Apply creative, iterative problem solving to ambiguous technical challenges, balancing long-term platform direction with short-term delivery needs.
- Design and test durable platform abstractions with strong attention to correctness, performance, scalability, security, data integrity, and developer experience.
- Use AI tools thoughtfully throughout the SDLC to accelerate research, prototyping, implementation, testing, documentation, and review, while ensuring outputs are accurate, secure, maintainable, and production-ready.
- Participate in on-call rotations and production support for the team’s services.
- Be involved in the entire software development process, including requirements and design, implementation, code reviews, automation, testing, and end product delivery.
- Help evolve Ridgeline’s cloud-backed platform with attention to operability, scalability, security, and cost-efficient infrastructure choices.
- Coach, mentor, and inspire engineers across teams on architecture, design tradeoffs, reliability, scalability, and maintainability.
- Proactively collaborate across Platform, Product, other engineering teams, and cross-functional partners to establish partnerships and champion innovation
What we look for:
- 8+ years of software engineering experience, with a track record of architecting and delivering shared platforms, infrastructure, or frameworks used by multiple engineering teams.
- Strong software architecture judgment, including the ability to decompose ambiguous problems, compare design alternatives, make pragmatic tradeoffs, and evolve systems iteratively.
- Experience designing extensible data models, APIs, and platform abstractions that support changing business requirements without sacrificing correctness, performance, or maintainability.
- Experience with distributed systems patterns such as event-driven workflows, asynchronous processing, fan-out jobs, caching, idempotency, consistency models, observability, and failure handling.
- Experience designing data-intensive systems such as search indexing, audit/event pipelines, background jobs, metadata frameworks, or distributed processing workflows.
- Strong backend engineering experience with object-oriented languages such as Java, Kotlin, or Python, and relational databases such as PostgreSQL.
- Experience operating production services, including monitoring, alerting, logging, incident response, performance tuning, scalability, and data integrity.
- Experience managing large or distributed codebases and working effectively in agile development environments with tools such as JIRA.
- Strong knowledge of data structures, algorithms, architectural patterns, and secure software development practices.
- Ability to focus on short-term deliverables while maintaining a big-picture perspective.
- Ability to mentor engineers, influence technical direction across teams, communicate clearly with technical and cross-functional partners, and bring a serious interest in having fun at work.
Bonus:
- Experience with AI-assisted development workflows, including tools such as Claude, Cursor, Copilot, or similar.
- Hands-on expertise with Kafka, Redis, or similar messaging, event-streaming, or caching technologies.
- Hands-on expertise with Kubernetes, Helm, or similar service deployment and orchestration tooling.
- Experience with Spark or other distributed processing frameworks.
- Understanding of AWS back-end infrastructure, especially RDS, Lambda, and related managed services.
- Working knowledge in JavaScript, React, HTML, CSS.
- Familiarity with cloud-based multi-region application architectures.
- Experience with testing frameworks such as Jest, Pytest, and Cypress.
- Experience developing mission-critical enterprise software applications.
- Familiarity with search relevance/ranking or compliance and audit requirements, such as SOC 2, in regulated industries such as financial services
Compensation and Benefits
The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.
The typical starting salary range for this role is: $182,500-$228,000.
The typical starting salary range for this role in the select locations listed above is: $200,500-$251,000.
Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.
In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.
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