Software engineer

job summary:
- 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

location: Jersey City,, New Jersey
job type: Contract
salary: $58 - 59 per hour
work hours: 8am to 5pm
education: Bachelors


responsibilities:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
• 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
• 5+ years building Python-based cloud applications or platforms with ownership of complex production systems
• 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

qualifications:
- 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

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].


Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.