Onward Search
Full Stack Engineer [84543]
Brooklyn, New York, US
Role snapshot
Onward Search is hiring a Full Stack Engineer [84543] on a full-time basis. This is a role based in Brooklyn, New York, US.
- Company
- Onward Search
- Location
- Brooklyn, New York, US
- Job type
- Full-time
- Experience
- 5+ years
- Posted
- Nov 6, 2026
Who this role suits
Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.
How to prepare your application
- Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
- Be ready to discuss trade-offs and scope, not only the tools you have used.
- Read what Onward Search publishes about its product or team, so you can say clearly why this role and this company.
Apply only on Onward Search's own site. A genuine employer never asks candidates for money, deposits or bank details to apply, interview or “secure” a job. If something looks wrong, use Report a problem with this listing and we will review it. Read how we check listings.
About the role
Our client is seeking a Full Stack Engineer for a temporary, remote, in-region opportunity. This role builds and operates a high-scale ML orchestration platform, supporting online inference, model evaluation, and reliable access to model-serving infrastructure.
There is no application deadline for this role.
Full Stack Engineer Responsibilities:
- Build and operate a high-scale, low-latency ML orchestration platform.
- Support online inference and model evaluation workflows.
- Connect product teams with models, features, and serving infrastructure.
- Maintain reliable, highly available services that support buyer and seller experiences.
- Collaborate with internal users and engineering partners to understand needs and improve the platform.
Full Stack Engineer Qualifications:
- Back-end engineering experience working on machine learning systems.
- At least 5 years of experience building and operating distributed, low-latency production services.
- Expertise with Scala or another functional programming language, including functional programming patterns.
- Understanding of production machine learning inference, including model serving, feature retrieval, batching, latency, and throughput trade-offs.
- Hands-on experience operating services on Kubernetes, including deployments, scaling, resource management, and production debugging.
Perks and Benefits:
- Medical, Dental, and Vision Insurance.
- Life Insurance.
- 401(k) Program.
- Commuter Benefit.
- eLearning and Ongoing Training.
- Education Reimbursement.
Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks.
If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.