Overview
0.0
Full Time
Skills
Embedded Systems
Artificial Intelligence
Cloud Computing
Automated Testing
Machine Learning (ML)
Collaboration
Machine Learning Operations (ML Ops)
Scalability
Mentorship
Quality Assurance
Software Development
Python
Object-Oriented Programming
Testing
Continuous Integration
Continuous Delivery
GitHub
Jenkins
Amazon Web Services
Amazon S3
Step-Functions
Terraform
Management
ProVision
IaaS
Software Engineering
Performance Tuning
Job Details
Title: Python Developer
Location: Jersey City, NJ (onsite role)
Duration: Long term Contract
Note: Need only local and 8-12 yrs of experience (F2F Interview)
Job Description:
We are building an enterprise-grade AI/ML Data Platform that enables scalable, secure, and responsible machine learning across the firm. We are seeking a Lead Software Engineer with a strong background in software development and platform engineering to help drive the Test Engineering Programa strategic initiative focused on building robust, intelligent validation frameworks and infrastructure that power our ML and data products.
This is a software engineering role embedded in quality and reliability initiatives. Youll architect and develop tools, services, and automation that elevate platform assurance across large-scale distributed systems. If you're passionate about platform quality, CI/CD excellence, infrastructure-as-code, and bringing engineering rigor to validation, this is your opportunity to make a major impact.
Key Responsibilities
Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure.
Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices.
Contribute to the platforms CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage.
Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack.
Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.
Build reusable components that support scalability, modularity, and self-service quality tooling.
Mentor junior engineers and influence technical standards across the Test Engineering Program.
Required Qualifications
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
8+ years of hands-on software development experience, including large-scale backend systems or platform engineering.
Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries.
Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools.
Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch).
Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure.
Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability.
Location: Jersey City, NJ (onsite role)
Duration: Long term Contract
Note: Need only local and 8-12 yrs of experience (F2F Interview)
Job Description:
We are building an enterprise-grade AI/ML Data Platform that enables scalable, secure, and responsible machine learning across the firm. We are seeking a Lead Software Engineer with a strong background in software development and platform engineering to help drive the Test Engineering Programa strategic initiative focused on building robust, intelligent validation frameworks and infrastructure that power our ML and data products.
This is a software engineering role embedded in quality and reliability initiatives. Youll architect and develop tools, services, and automation that elevate platform assurance across large-scale distributed systems. If you're passionate about platform quality, CI/CD excellence, infrastructure-as-code, and bringing engineering rigor to validation, this is your opportunity to make a major impact.
Key Responsibilities
Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure.
Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices.
Contribute to the platforms CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage.
Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack.
Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.
Build reusable components that support scalability, modularity, and self-service quality tooling.
Mentor junior engineers and influence technical standards across the Test Engineering Program.
Required Qualifications
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
8+ years of hands-on software development experience, including large-scale backend systems or platform engineering.
Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries.
Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools.
Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch).
Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure.
Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.