1311 Opentext Exstream Developer Aws jobs in New York,NY

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Sr. SDET (Sr Software Engineer in Test & Merchandising Automation)

Subway Restaurants

Bridgeport, CT 06606

~ 1 hr 13 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
5 or more years of experience as an SDET or software engineer with a strong focus on test automation and quality engineering
Proficiency in JavaScript/TypeScript (Node.js) for writing production-quality test code; Playwright required for UI and API automation
Experience testing event-driven and integration architectures - AWS Lambda, SQS/SNS, API Gateway, or equivalent async messaging systems
Hands-on experience validating iPaaS or workflow automation platforms - Adobe Workfront Fusion, MuleSoft, Zapier, or similar scenario-based integration tools strongly preferred
Experience designing and executing performance, load, and reliability test strategies against backend APIs and event pipelines
Experience embedding automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)
Familiarity with contract testing approaches and consumer-driven contract frameworks (Pact or similar)
Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent) - comfortable using AI daily to author tests, generate synthetic data, and analyze failures
Strong software engineering fundamentals - able to write clean, maintainable, reviewable test code that the broader engineering team can own
Systems-level thinking: able to reason about distributed architectures, async data flows, and failure modes across integration boundaries - including both AWS-native and Fusion-based pipelines
Clear communicator who can translate test findings and coverage gaps into actionable engineering priorities for both technical engineers and marketing/ops stakeholders
Collaborative approach - operates as a full member of the engineering team, not a downstream QA gate
Experience providing technical guidance and code review to other engineers on testing best practices
Travel Requirements - Less than 10%

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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

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Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)

Capital One

New York, NY 10001

New, Posted 1 day ago

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Associate Senior Associate VP Alternative Investment Product Development

Confidential

New York, NY 10001

Onsite

Associate, Senior Associate, or VP
Strong understanding of investment products and development processes
Experience in financial product management
Based in New York
Experience collaborating across departments to achieve strategic goals

SmartExplore AI is experimental.

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Oyster Bar Shucker

Grand Banks

New York, NY 10013

New, Posted 1 day ago

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Development Fundraising Executive leading arts media non-profite.

Confidential

New York, NY 10001

Onsite

Daily on-site presence at the client Nürn Midtown, New York City office
Valid US work authorization
Strong background in non-profit fundraising
Donor relations
Charitable development
Preferably within the arts, media, or cultural sectors
Ability to raise $10 million in annual donations
Identify and pursue new funding opportunities, such as grants and corporate partnerships
Monitoring the effectiveness of fundraising campaigns
Preparing detailed reports for senior leadership
Experience leveraging donor lists
Leading initiatives in various fundraising channels such as memberships and foundations
Maintaining donor relationships
Excellent communication and presentation skills
Demonstrated track record in meeting revenue goals
Well-versed in best practices and regulations in the non-profit sector

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Principal Quant Developer

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree (or above) in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
6 years of experience in analytical models and working with investment professionals
Domain knowledge in either equities, fixed income or alternative asset classes
Deep understanding of quantitative techniques and methods, statistics and econometrics – including probability, linear regression and time series data analysis
Proven track record in hands-on development of analytical solutions
Full-stack software development knowledge.
Technical and programming skills including Python, SQL and Linux.
Ability to effectively communicate with multiple stakeholders, including fundamental and quantitative researchers, technology partners and senior management
Intelligently apply advanced analytics and quantitative concepts to support investment needs and develop new solutions.
Lead the implementation of a research project through the entire software development lifecycle utilizing a full-stack implementation.
Add scale, rigor, and repeatability to research through software development best practices.
Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace.
Adept at detecting scope changes and escalating issues

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