Software Engineer

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

• Partner with Data Scientists to package, scale, and operationalize models for secure, reliable production use
• Collaborate with application and platform engineers to integrate ML capabilities with enterprise gateways and services
• Design and operate enterprise-scale ML systems serving tens of millions of users with high reliability and performance
• Build platform tooling for model and data observability, including drift detection, quality monitoring, and automated diagnostics
• Evaluate and adopt emerging technologies to simplify the ML ecosystem and improve developer experience and stability
• Drive pragmatic innovation by balancing future capabilities with production readiness and maintainability
• Increase team agility through reusable frameworks, clear abstractions, and automation that reduce downstream friction
• Resolve technical roadblocks and mitigate platform risks related to scalability, reliability, and integration
• Accelerate delivery and improve system reliability through robust CI/CD pipelines and automated operational workflows

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
• 5+ years of experience building Python-based cloud applications or platforms with ownership of complex production systems
• Strong Python software engineering experience building and maintaining production-grade libraries, services, and platforms; Linux, scripting, and automation required (Java/Groovy a plus)
• Experience building and operating cloud-native systems on AWS, including core services and managed ML platforms (e.g., SageMaker); Azure or GCP exposure beneficial
• Solid DevOps and CI/CD expertise with Jenkins, Git-based workflows, Docker, and scalable containerized deployments
• Infrastructure-as-Code experience using CloudFormation and/or Terraform/OpenTofu
• Hands-on experience operating ML systems in production, including deployment, inference, monitoring, and reliability-focused operations
• Working knowledge of applied ML concepts, data pipelines, and diverse data types to support scalable ML platforms
• Strong background in distributed systems, high-throughput workloads, asynchronous processing, and fault-tolerant architectures
• Proven ability to support business-critical systems, troubleshoot production issues, and drive stability and performance improvements
• Excellent communication and collaboration skills, including technical documentation and cross-functional teamwork
• Ability to thrive in fast-paced, ambiguous environments within a broader AI and data ecosystem

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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