648 Java Back End Software Engineer jobs in New York,NY

Principal Engineer - Python API Development

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale.
Deep software engineering expertise in Python and distributed systems
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands‑on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt.

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Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

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Sr Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

New, Posted 7 hours ago

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Front-End Engineer II – Digital Servicing

Synchrony Financial

New York, NY 10012

Remote

Bachelor's degree in computer science or related degree and a minimum of 2 years of web application development experience OR, in lieu of degree, High School Diploma/GED 4 years of professional web application development experience
Ability and flexibility to travel for business as required
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

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New, Posted 7 hours ago

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Seasonal Retail Tax Associate

Intuit

New York, NY 10012

OnsiteBilingual Preferred

You must possess or be able to obtain any related State licenses, certificates, permits, or bonds and an active Preparer Tax Identification Number (PTIN)
Minimum of 3 years of paid experience filing 50 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software
Familiarity with Circular 230
Bonus: Must reside within the United States
Must possess or be able to obtain any related State licenses, certificates, permits, or bonds

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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 20 hours ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

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

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