720 Remote Linux Systems Engineer Iii jobs in Elizabeth,NJ

8+ years of technical product or program management experience
2+ years of end to end product delivery experience
Bachelor's degree
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience leading engineering discussions around technology decisions and strategy related to a product

SmartExplore AI is experimental.

New, Posted 19 hours ago

Field Structural Engineer (Solar Focused)

Pure Power Engineering

Newark, NJ 07188

$130,000-$160,000/yr

New, Posted 19 hours ago

Field Structural Engineer (Solar Focused)

Pure Power Engineering

Newark, NJ 07182

$130,000-$160,000/yr

New, Posted 1 day ago

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Engineering Program Manager

Keurig Dr Pepper

New York, NY 10012

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Mechanical, Electrical, Industrial, or Chemical Engineering
8+ years of capital engineering project based experience.
Experience managing projects in the $100k -25 Million range
PMP certified or the ability to obtain certification within 12 months of employment.
Experience with technologies including CSD, Juices and Teas, Aseptic, manufacturing equipment including Fillers, Cappers, Conveyance, Packers, Palletizers, Control Systems, RO, and Batch/CIP systems.
Ability to travel for overnight travel +50%
Ability to work independently as a 100% remote employee.

SmartExplore AI is experimental.

New, Posted 1 day ago

Engineering Manager/Asst Chief

Westin Governor Morristown

Morristown, NJ 07960

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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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