Juniper Square
Staff Software Engineer
Americas (USA or Canada) · Staff+ · Full-time
Sponsorship not specified$190k-$235kDetected 70 days ago
TypeScriptPythonJavaC++C#ReactNode.jsBackend DevelopmentFull-Stack DevelopmentCode ReviewNoSQLAWSDockerKubernetesCI/CDData EngineeringLLMsRAGAgentic AIAccountingCustomer SupportLeadershipCollaborationMentoring
Stay score
odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
20 transfer filings in the last year, covering 20 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- As a Staff Software Engineer at Juniper Square, you are a technical leader - setting technical direction, driving architectural decisions, and raising engineering quality across your team.
Responsibilities
- Own Technical Direction & Architecture
- Set the technical direction and own the architecture for your domain's systems, from design through production
- Lead technical design for ambiguous, cross-functional initiatives - evaluating tradeoffs, aligning stakeholders, and driving implementation
- Own end-to-end delivery of roadmap projects: design, coding, testing, and production
- Manage your team's short-term roadmap (spanning the next two quarters), proactively surfacing execution, cost, and technical risks and driving pragmatic mitigation
- Lead the development of complex, full-stack workflows, working across frontend and backend engineers
- Champion and embed AI-native development practices and tools (e.g., Cursor, Augment) to drive significant productivity gains across your team
- Build and evaluate agentic workflows and AI-assisted systems where they add real value, with clear human-in-the-loop boundaries and monitoring for failure
- Guard against over-reliance on AI tooling, in your own work and in the code you review, balancing velocity with system comprehension and accountability for outcomes
- Lead & Grow the Team
Requirements
- 12+ years of experience in backend and/or full-stack software engineering, with a clear trajectory of increasing technical leadership, architectural responsibility, and mentorship
- Experience with relational/NoSQL databases, including schema design, performance tuning, and data modeling
- Strong understanding of CI/CD, observability, reliability, and operational excellence in production environments
- Deep understanding of service-oriented architecture and experience evolving systems from monolith toward SOA
- Hands-on experience with AI-native development tools (e.g., Cursor, Augment) and a track record of using them to accelerate personal and team velocity
- Bachelor's degree in Computer Science or equivalent work experience
- A portfolio of shipped production systems - be ready to walk through specific technical decisions you personally made and code you personally wrote; this is not a role for someone whose primary contribution has been directing others
- Deep expertise in at least one server-side language (Python preferred, Node/TS, Java, C++, C#, or similar) and strong proficiency building production-grade backend services
- Experience with modern front-end frameworks (React preferred) and comfort working full-stack when the problem calls for it
- Experience building and operating cloud-native systems using AWS (or equivalent), Docker, Kubernetes, and infrastructure as code
- Demonstrated ability to raise engineering quality through technical standards, design reviews, mentoring, and reusable platform patterns
- Ability to work through ambiguity, break down complex problems, and drive alignment across engineering, product, and design
Nice to have
- Reporting: experience with data integration platforms, ETL/ELT processes, business intelligence tools, or financial data
- If you think this role sounds like a fit, we encourage you to apply even if you don't meet every qualification.
- Allowance to customize your work and technology setup at home
Compensation
- Compensation for this position includes a base salary, equity, and a variety of benefits.
- The U.S. base salary range for this role is $190,000 - $235,000 USD and the Canadian base salary range is $180,000 - $225,000 CAD.
- Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
- Annual professional development stipend
- Your recruiter can provide additional details about compensation and benefits.
Benefits
- Health, dental, and vision care for you and your family
- Life insurance
- Mental wellness coverage
- Flex Time Off in addition to company-paid holidays
- Paid family leave, medical leave, and bereavement leave policies
- Retirement saving plans
- Annual professional development stipend
- Benefits include:
Company info
- Our mission at Juniper Square is to unlock their full potential.
- Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates.
- We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets.
Apply directly at Juniper Square →Create a free account for alerts like thisView Juniper Square immigration profile
This listing is sourced directly from Juniper Square's careers page and normalized into a canonical job model.