Engineering · Paid role

Senior Software Engineer

Design, build, and own the product surfaces and backend services across Orgni, the operational intelligence platform that powers financial operations, operational workflows, and document integrity. Set the engineering bar.

EngineeringRemoteStaff · 8+ years of production engineering

Compensation

Top-of-band salary, significant equity, performance bonus, learning budget.

What you'll own

Own end to end design and delivery of major product surfaces or services
Set the engineering standard for quality, performance, and observability
Mentor other engineers and raise the bar through code review and architecture
Collaborate closely with research, product, and design to ship work that matters

Who we're looking for

8+ years shipping and owning production systems at scale (TypeScript, Python, Go, or Rust)
Deep systems expertise: distributed systems, data-intensive services, performance, and reliability
Track record of architecting systems that served real production traffic and survived it
Professional cloud or systems certifications are a strong plus (AWS/GCP Professional, CKA)
A public body of work we can review: significant open-source, technical writing, or conference talks
High writing standard; you can ship a design doc that ends a meeting
Comfortable in early-stage ambiguity and small, senior teams

How we'll evaluate you

01
Written application
Submit the full application below. We read every word. Expect a response within 14 days, even if it is a no.
02
Founder screen
A 30 minute conversation with the founder. We talk about your trajectory, your work, and how you think.
03
Take-home exercise
A paid, role-specific exercise that takes 6 to 10 hours over a week. We pay market rate for your time on this.
04
Technical deep dive
Two hours with two people from the team. We go deep on your exercise, your past work, and a live problem in your domain.
05
Final interviews
Three to four conversations with people you would work with most closely. We make sure both sides have everything they need.
06
References and offer
We contact your references, then move quickly to a written offer with compensation, equity, and start details spelled out.

Apply

The bar is high. Take your time.

Plan for 30 to 45 minutes. Strong applications are specific, written in your own voice, and show real proof of work. Vague answers are the most common reason we say no.

First name *

Surname *

Email *

Phone number *

Where are you based? *

LinkedIn profile *

GitHub, portfolio, or other relevant work *

Google Scholar, arXiv, or publications profile

Required for research, ML, and data science roles. Leave blank if it does not apply.

Relevant certifications or credentials

List any professional certifications relevant to this role.

Link to your CV *

Make sure the link is publicly viewable.

Current role and company *

Years of relevant experience *

Describe a project you led end to end that you are most proud of *

Be specific. Vague answers are the most common reason we say no.

Why this role and why Olyxee? *

Describe the hardest technical or strategic problem you have solved in the last 12 months *

Two professional references (name, relationship, email) *

Salary expectation (annual, in your local currency) *

Earliest start date *

Work authorization *

I confirm that everything in this application is accurate and written by me. I understand Olyxee will verify references and may conduct background checks.

Your application is sent directly to our hiring team. No third parties.