Principal Software Engineer

RESPONSIBILITIES:
Kforce has a client that is seeking a Principal Software Engineer in Jersey City, NJ.

Key Tasks:
* Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units
* Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
* Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
* Advance model/data observability-tooling for data and feature drift detection, prediction-quality monitoring and uncertainty signals, and automated diagnostics/explainability
* Lead cross-platform incident response and post-mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform
* Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
* Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long-term platform roadmap

REQUIREMENTS:
* Bachelor's degree, Controller's degree, or equivalent experience in Computer Science, Software Engineering, or a related field is required
* You should have 8+ years, typically 10+, of experience building and operating production platforms at scale
* Deep software engineering expertise in Python and distributed systems, with a proven track record of building production-grade services; Proficiency in Linux and scripting are required; Familiarity with Java or Groovy is a plus
* Cloud platform leadership (AWS)-hands-on with S3, Lambda, Batch, and more
* Experience with DevOps and continuous integration/delivery at scale, including Jenkins and Git-based workflows
* Expertise in Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering
* ML enablement in production, including model packaging, deployment strategies, performance tuning, and observability
* Cross-org technical leadership: mentoring engineers

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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