Senior Software Engineer, AI-Native Data Warehouse

🔥 15 hours ago

🇨🇦 Canada – Remote

💵 $165k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Juniper Square

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏠 Real Estate

☁️ SaaS

💰 $75M Series C on 2019-11

Finance • Real Estate • SaaS

Juniper Square is a company that provides a comprehensive platform and solutions tailored for private investment partnerships. Founded in 2014, the company focuses on enabling seamless connection and communication between General Partners (GPs) and Limited Partners (LPs) throughout the entire investment lifecycle. Juniper Square's technology is purpose-built to support commercial real estate, private equity, and venture capital firms of all sizes. The platform offers services such as fund administration, fundraising, investor management, compliance, and investor reporting, all aimed at enhancing transparency, data governance, and the overall investor experience.

📋 Description

• Design, build, and ship production-quality systems, APIs, and services • Own projects end-to-end, from technical design and implementation through testing, deployment, and iteration • Build reliable, scalable, and observable systems that deliver customer value • Own production health, including monitoring, troubleshooting, performance, reliability, and issue resolution • Build intuitive, performant customer experiences • Improve engineering velocity and operational quality through automation, documentation, and continuous improvements • Contribute to technical design for complex projects and evaluate tradeoffs • Partner with product, design, QA, and engineering to translate requirements into technical solutions • Identify and reduce technical debt, reliability risks, and software-development friction • Establish reusable patterns and raise engineering standards with Staff and senior engineers • Participate in code reviews, design reviews, debugging, incident response, and operational support • Use agentic coding tools and AI-assisted development as a primary workflow • Critically evaluate AI-generated code for correctness, edge cases, and regressions • Build or integrate AI/LLM-powered capabilities, including evaluation frameworks, RAG pipelines, and agentic workflows, with human-in-the-loop boundaries • Contribute to AI-accelerated development, testing, and code-review practices • Communicate technical context to technical and non-technical stakeholders • Grow into a subject-matter expert in Dex, Juniper Square's AI-native data warehouse • Work on Dex data extraction across an Ingest → Parse → Classify → Extract pipeline, including initial MVP agents, structured data extraction, RAG, vectorized storage, and a documentation repository

🎯 Requirements

• 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, 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 is a plus • Ability to break down complex technical problems and deliver pragmatic, maintainable solutions • Strong ownership mindset and ability to drive projects independently while collaborating effectively across teams • Clear communication skills and ability to explain technical tradeoffs to engineering and cross-functional partners • Hands-on experience with AI-native development tools such as Cursor or Augment • Demonstrated AI fluency, including judgment about when AI is and is not 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, such as RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability • Comfort operating in ambiguous, fast-evolving technical territory • Nice to have: strong data warehousing or data engineering expertise with Redshift, Snowflake, BigQuery, or Databricks • Nice to have: experience shipping AI-forward data pipeline or warehousing solutions • Nice to have: comfort navigating ambiguity in an early-stage, less spec-heavy environment

🏖️ Benefits

• Health, dental, and vision care for you and your family • Life insurance • Mental wellness coverage • Fertility and growing family support • Flex Time Off in addition to company-paid holidays • Paid family leave, medical leave, and bereavement leave policies • Retirement saving plans • Allowance to customize your work and technology setup at home • Annual professional development stipend • Equity • Digital-first operations and flexible ways to work, ranging from fully remote to working in a physical office