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Software Engineer Solutions

New York,NY

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2596 Software Engineer Solutions jobs in New York,NY

New, Posted 20 hours ago
iHire

Applied Researcher II (AI Foundations)

Capital One

New York, NY 10001

New, Posted 1 day ago
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AML Compliance Model Developer – Associate

Santander Holdings USA

New York, NY 10012

Onsite

  • Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field
  • 3–5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services
  • Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing
  • Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing
  • Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets
  • Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management
  • Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT
  • Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts
  • Strong analytical, quantitative, and problem-solving skills
  • Ability to multitask, manage priorities, and work effectively in fast-paced environments
  • Strong communication, documentation, and stakeholder management skills
  • Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

  • Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
  • Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
  • Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
  • Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
  • Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
  • Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
  • Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
  • Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
  • Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
  • Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
  • Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
  • Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
  • Engineering leadership and team-building experience, including managing senior technical staff — 7 years
SmartExplore AI is experimental.
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New, Posted 1 day ago

Trainee Entry Level Home Daily, Weekly, and Every 2 weeks

SkillConnect LLC

New York, NY 10075

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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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Jobcase

Product Manager (Servicing Domain)

RIT Solutions

New York, NY 10001

New, Posted 1 day ago
Jobcase

Shop Technician - New York/New Jersey

Creative Technology Group

New York, NY 10001

New, Posted 1 day ago
Jobcase

AI/ML Product Manager - Model Serving

Chase Bank

New York, NY 10001

Jobcase

Director of Implementations

ARCH

New York, NY 10038

New, Posted 1 day ago
Jobcase

SVP DeFi

Axiom Recruit

New York, NY 10001

  1. New York,NY Jobs
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  3. Software Engineer Solutions Jobs

What companies are hiring Software Engineer Solutions jobs in New York,NY?

  1. Capital One
  2. Santander Holdings USA
  3. Spectrum
  4. SkillConnect LLC
  5. Fidelity Investments
  6. RIT Solutions
  7. Creative Technology Group
  8. Chase Bank
  9. ARCH
  10. Axiom Recruit

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