Sponsorship verdict
Sponsorship unlikely
Something in the evidence works against sponsorship. Read the reasons before you invest time.
-
✓
Employer is on a government sponsor recordThe US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
-
?
The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
-
?
No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
-
✓
What Ridgeline INC paid sponsored hires in similar roles1 certified filing for “Staff Engineer” (Software Developers) in CA: $214k–$214k, median $214k.
-
!
Existing work authorization requiredFrom the posting’s own wording.
-
✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Ridgeline INC paid sponsored hires in similar roles
- 1 certified filing for “Staff Engineer” (Software Developers) in CA: $214k–$214k, median $214k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
Before you apply
Review before applying
Existing work authorization required — the posting’s wording suggests candidates who already hold work rights. Read the original listing carefully.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
Are you passionate about building highly accurate, calculation-intensive financial systems where correctness, scale, and transparency are critical? Do you enjoy solving complex quantitative challenges involving large datasets, financial calculations, and analytics infrastructure? Are you looking for an opportunity to help shape the next generation of investment performance and analytics technology?
Ridgeline is seeking a Senior Software Engineer to help scale our investment performance and analytics platform. This role sits at the intersection of software engineering, quantitative financial analytics, and investment technology. You will design and build sophisticated systems that power performance measurement, attribution, and reporting across complex investment portfolios.
The investment performance domain includes nuanced financial methodologies, complex asset behaviors, and institution-grade reporting requirements. Candidates who have worked on investment analytics or other quantitative financial platforms tend to ramp most successfully in this environment.
While experience with performance measurement systems is highly valuable, we recognize candidates may come from adjacent areas of investment technology. Engineers with experience in portfolio analytics, risk systems, portfolio accounting, market data, trading systems, or other quantitative financial platforms are encouraged to apply.
By joining Ridgeline, you'll help redefine investment management technology while working alongside a team committed to collaboration, learning, and technical excellence.
Our hybrid model is 3 days in office per week.
Relocation assistance is available for qualified candidates.
You must be authorized to work in the United States without sponsorship.
The Impact You Will Make
You'll play a key role in designing and evolving Ridgeline's investment performance and analytics platform, building systems that support sophisticated reporting workflows and help investment managers make informed decisions. Working in a fast-paced, collaborative environment, you'll partner closely with product, strategy, and engineering teams to design scalable solutions, drive technical decision-making, and influence the direction of a growing platform.
In this role, you'll contribute throughout the software development lifecycle, from requirements gathering and design reviews through implementation, testing, and deployment. You'll develop systems capable of supporting complex asset classes including fixed income, derivatives, private equity, and other alternative investments, while helping optimize critical calculations such as time-weighted returns (TWR), internal rates of return (IRR), and performance attribution methodologies.
You'll also help shape and enhance a modern technology stack built on AWS, creating automation and scalable solutions that customers rely on to run their businesses. As a staff engineer, you'll provide technical leadership, mentor fellow engineers, and help establish engineering best practices across the team. Success in this role requires creativity, strong problem-solving skills, and the ability to communicate complex ideas clearly while contributing to a culture rooted in collaboration, continuous learning, and transparency.
What We Look For
Core Engineering Experience
From a technical perspective, we're looking for someone with experience working with relational and analytical databases, including query optimization and data modeling, as well as experience building cloud-native applications on AWS, Azure, or Google Cloud. You should have a strong appreciation for automated testing, software quality, and maintainable system design, along with the ability to balance immediate business needs with long-term architectural thinking.
Apply on company site ↗