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2462 Cloud Software Engineer Java Python jobs in New York,NY

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Full Stack Developer

Outlier

New York, NY

$50/hr

Remote

2+ years of experience in backend engineering, AI automation, or complex systems integration
Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
Practical experience building for live, non-mocked environments and handling multi-turn system interactions
Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors
This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence.

SmartExplore AI is experimental.

New, Posted 10 hours ago

Sr Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

New, Posted 1 day ago

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Java Software Engineer

Beaconfire

New York, NY 10261

$65,000-$80,000/yr

New, Posted 1 day ago

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Full Stack Engineer

Charter Global

Jersey City, NJ 07097

New, Posted 11 hours ago

Principal, Front End Developer (Angular, Python)

Fidelity Investments

Secaucus, NJ 07094

~ 18 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree or equivalent experience in computer science, engineering, or a related field.
8+ years of hands-on experience designing, developing and deploying complex, scalable, end-to-end web applications
A proven track record of leading complex projects through the full software development lifecycle(SDLC) from requirements gathering and system design to production deployment and post-launch maintenance
Expertise in modern front-end development, particularly with Angular and its ecosystem.
Strong Proficiency in back-end development with a main focus on Python and its web frameworks (eg Django, Flask).
Extensive experience designing, implementing and optimizing relational databases(e.g. Oracle, PostgreSQL, SQL Server). Strong SQL skills are a must
Experience with object-oriented design and development, and standard software design patterns.
Experience with data visualization libraries and UI component libraries
Solid background in financial services with an understanding of investment risk.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Information Technology Professional (IT Support)

U.S. Navy

Jersey City, NJ 07302

New, Posted 6 hours ago

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Principal Software Engineer

Mastercard

Harrison, NY 10528

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Extensive experience in designing and delivering large-scale, distributed systems and platforms.
Proven ability to influence technical strategy and drive architectural decisions across multiple teams.
Strong expertise in modern software engineering practices, cloud-native architectures, and AI/data platforms.
Exceptional communication and leadership skills with a track record of mentoring and thought leadership.
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
Data Architecture & Strategy
Focus on designing modern, scalable, governed data ecosystems.
Data strategy and product-aligned data architectures
Modern database technologies and migration away from legacy Oracle
Data lakehouse architectures supporting analytics and ML workloads
Feature catalog / feature engineering platforms
High-Throughput, Low-Latency, and Real-Time Systems
Critical for Mastercard's real-time decisioning and event-driven platforms.
Event streaming and high-throughput data pipelines
Low-latency data technologies (distributed caches, grid replacement)
Real-time transaction processing and sub-second decisioning
Rules engine design and modernization
Cloud Infrastructure, Platform Engineering & DevOps
Driving cloud-native engineering practices and operational excellence.
AWS infrastructure engineering and cloud-native platform patterns
DevOps and platform engineering (automation, CI/CD, observability, GitOps)
ML lifecycle engineering (model training, deployment, refresh, inference)
Deep, progressive experience in software engineering.
Proven technical leadership roles influencing architecture and design across multiple teams.
Proven track record of delivering large-scale, distributed systems and enterprise-grade platforms.