Associate Level: 1-2 years of related mechanical assembly experience.
Staff Level: 2-4 years of professional mechanical assembly or fabrication experience.
Lead Level: 5+ years of progressive experience in mechanical assembly, including supervisory or lead responsibilities in a manufacturing or defense environment.
High School Diploma or GED required.
901D is a Defense Contractor; U.S. Citizenship or U.S. Person status is required for this position.
This position may require exposure to information subject to U.S. export control regulations under the International Traffic in Arms Regulations (ITAR) or the Export Administration Regulations (EAR).
All applicants must be U.S. persons within the meaning of U.S. regulations.
This position may require exposure to export-controlled information and subject to additional security screening.
In the event information provided during the security screening reveals ineligibility to access export-controlled information, any offer of employment may be reconsidered or withdrawn.

SmartExplore AI is experimental.

New, Posted 1 day ago

Onsite Technology Testers Needed (NYC) - $150 Payout

uTest by Applause

Valley Cottage, NY 10989

$25 bonus

New, Posted 11 hours ago

Apply Directly

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.