2464 Qa Software Engineer jobs in New York,NY

This position has an On-Site Requirement in Teaneck NJ
Minimum (5) five years of experience in a developer role in full stack environment
Robust Experience with C# programming, and .Net 8+
Knowledge on SQL queries, SQL Server, and relational database technology.
Experience with Rest API development, integration knowledge and middleware integration expertise.
Experience developing critical applications with large concurrent user bases from a performance and scalability standpoint
Experience with Azure cloud services.
Must have experience in the analysis, design, development, testing and implementation of enterprise scale apps.
Should be able to work closely with the business stakeholders and work towards the solutioning of the requirements.
Should have requirement gathering and documentation experience.
Effective written and verbal communication.

SmartExplore AI is experimental.

DiversityJobs

Senior Frontier Agents Engineer

Scale AI

New York, NY 10261

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Principal Quant Developer (MLOps)

Fidelity Investments

Hoboken, NJ 07030

~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
Six (6) years of experience as a Senior Quant Developer or similar role
Alternatively, a Master's degree (or equivalent foreign education) in the same fields
Four (4) years of experience as a Lead Quantitative Development or similar role
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes

SmartExplore AI is experimental.

DiversityJobs

Account Manager, PBA

Capital Rx

New York, NY 10003

New, Posted 5 hours ago

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Manufacturing Maintenance Planner

Advanced Technology Services

Carlstadt, NJ 07072

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Associate Degree required in a technical field with 1-3 years of maintenance scheduling / planning experience and/or 5 – 10 years as a machine repair technician, or equivalent combination of both
Familiar with industrial manufacturing environment
Electrical/mechanical aptitude
Proficiency with computers, maintenance systems, and applications including Microsoft Office
Excellent verbal communication, facilitation, and presentation skills
Ability to build and maintain positive, professional relationships

SmartExplore AI is experimental.

New, Posted 9 hours ago