Senior Software Engineer, AI-Native Data Warehouse

Design, build, and ship production-quality systems, APIs, and services - from foundational platform capabilities to customer-facing product experiences

Own projects end-to-end: translating requirements into technical designs, implementation, testing, deployment, and ongoing iteration

Build reliable, scalable, and observable systems that deliver value to customers and enable other engineering teams to move faster

Own the production health of the systems you build, including monitoring, troubleshooting, performance, reliability, and issue resolution

Build intuitive, performant experiences that solve meaningful customer problems and support business outcomes

Improve engineering velocity and operational quality through automation, documentation, and continuous improvements

Contribute to technical design for complex projects, evaluating tradeoffs and proposing pragmatic implementation plans

Partner with product, design, and engineering to translate requirements into well-designed technical solutions

Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle

Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards

Participate in code reviews, design reviews, debugging, incident response, and operational support

Use agentic coding tools and AI-assisted development as a primary part of your workflow, deliberately choosing where AI versus traditional software is the right tool

Critically evaluate AI-generated code for correctness, edge cases, and regressions, shipping quality output regardless of how it was produced

Build or integrate AI/LLM-powered capabilities in your domain where they add real value (e.g., evaluation frameworks, RAG pipelines, agentic workflows), with clear human-in-the-loop boundaries

Contribute to the team's evolving practices around AI-accelerated development, testing, and code review

Work closely with product, design, QA, and cross-functional partners to meet timelines and align solutions to business goals

Provide clear, accessible technical context to both technical and non-technical stakeholders

Grow into a subject-matter expert in Dex, with a deep understanding of the data, workflows, and customer needs specific to that space

7+ years of experience in backend and/or full-stack software engineering

Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django

Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling

Experience with cloud-native technologies such as AWS, Docker, and Kubernetes, and infrastructure as code

Strong understanding of CI/CD, observability, and operating services in production

Comfort working full-stack when the problem calls for it (TypeScript/React experience a plus)

Ability to break down complex technical problems and deliver pragmatic, maintainable solutions

Strong ownership mindset, with the ability to drive projects independently while collaborating effectively across teams

Clear communication skills, with the ability to explain technical tradeoffs to engineering and cross-functional partners

Hands-on experience with AI-native development tools (e.g., Cursor, Augment), and demonstrated AI Fluency: a deliberate point of view on when AI is (and isn't) the right tool, adapted code review practices for AI-generated code, and safeguards against over-reliance on AI tooling

Bachelor's degree in Computer Science or equivalent work experience

Hands-on experience building or integrating AI/LLM-powered systems in production (e.g., RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability)

Comfort operating in ambiguous, fast-evolving technical territory where best practices and patterns are still being established

Strong data warehousing or data engineering expertise (Redshift, Snowflake, BigQuery, Databricks)

Experience shipping AI-forward data pipeline or warehousing solutions

Comfort navigating ambiguity in an early-stage, less spec-heavy environment

At Juniper Square, we believe building a diverse workforce and an inclusive culture makes us a better company. If you think this role sounds like a fit, we encourage you to apply even if you don't meet every qualification.