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Staff Engineer, Software Architect

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: OpenKrill
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 151000 - 179000 USD Yearly USD 151000.00 179000.00 YEAR
Job Description & How to Apply Below

Staff Engineer Remote, Anywhere in the US

About Answers Now At  Answers Now, we are trailblazing the future of autism therapy, making it more immediate, accessible, and effective for families everywhere. Our innovative virtual ABA therapy platform is thoughtfully designed by clinicians to recreate the focused, supportive environment of in-person therapy, complete with distraction-free features and interactive activities that enhance engagement and progress.

Our team operates fully remote—meaning you’ll have the flexibility to work from the comfort of home. If you're ready to make a meaningful impact and join a team that's reshaping autism therapy, we’d love to hear from you!

Why this role matters:

We're looking for a Staff Engineer who operates at the intersection of deep technical expertise and broad organizational impact. You don't just write great code — you elevate the entire engineering organization. You shape architecture decisions, define engineering standards, mentor engineers across all levels, and partner with product and clinical leadership to translate complex problems into scalable technical solutions.

At Answers Now, this means owning the technical health of our platform — our React frontend, Node/Express APIs, Postgres data layer, AWS ECS infrastructure, and our growing ETL and AI pipeline ecosystem — while ensuring the team can move fast without accumulating crippling technical debt.

Job Details
  • W2 Employee
  • Full-Time
  • 100% Remote
Job Requirements
  • 8+ years of professional software engineering experience, with at least 3 years in a senior or staff-level role
  • Deep expertise in JavaScript and Type Script in a production full-stack environment
  • Strong command of React, Node.js/Express, and Postgres — you can reason about performance, reliability, and maintainability at each layer
  • Proven experience designing and owning distributed systems or data pipeline architectures on AWS (ECS, RDS, S3, Lambda experience valued)
  • Track record of technical mentorship — you've made engineers around you measurably better
  • Excellent written and verbal communication; you can write an architecture doc, run a design review, and brief a non-technical executive in the same day
  • Experience working in or leading engineering at a growth-stage startup — you understand the balance between velocity and sustainability
  • Familiarity with ETL pipelines, AI/LLM integration patterns, or data-intensive systems is a strong plus
  • Significant experience architecting and deploying production-grade ML/AI systems, including LLM integration and model lifecycle management.
Nice to have:
  • Experience with healthcare or regulated data environments (HIPAA compliance, PHI handling)
  • Familiarity with event-driven architectures, message queues, or streaming pipelines
  • Prior experience as an engineering manager who returned to an IC track (player-coach background welcome)
  • Contributions to open source or engineering blog posts / conference talks
What You’ll Do Technical Leadership
  • Own and evolve the architecture of our core platform:
    React frontend, Node.js/Express APIs, Postgres, and AWS ECS infrastructure
  • Drive our JavaScript → Type Script migration, establishing patterns, tooling, and standards the team can follow
  • Design and extend our ETL pipeline and config-driven AI integration framework, enabling engineers to ship AI-powered features faster and more reliably
  • Lead technical design reviews, create architecture decision records (ADRs), and ensure engineering decisions are documented and defensible
  • Identify and resolve systemic technical debt — not just flagging it, but owning the plan to address it
  • Define and execute the technical strategy for integrating ML/AI models into our core platform, ensuring scalability, performance, and reliability.
Engineering…
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