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Opentext Exstream Developer Aws

New York,NY

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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%
SmartExplore AI is experimental.
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New, Posted 1 hour ago
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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.
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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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Culinary Agents
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
SmartExplore AI is experimental.
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New, Posted 1 hour ago
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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
SmartExplore AI is experimental.
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New York, NY 10025

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Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

Capital One

New York, NY 10001

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