791 Software Engineer Engineering jobs in Berkeley Heights,NJ

Principal Engineer - Python API Development

Fidelity Investments

Elizabeth, NJ 07202

~ 27 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.

SmartExplore AI is experimental.

New, Posted 16 hours ago

Recommended

Engineering Manager/Asst Chief

Westin Governor Morristown

Morristown, NJ 07960

New, Posted 1 hour ago

Apply Directly

Director, Full-Stack Engineer

BNY

New York, NY 10007

$136,500-$225,000/yr

Urgently Hiring

New, Posted 9 hours ago

Recommended

Staff Software Engineer - ServiceNow ITAM

The Walt Disney Company (Corporate) Careers

New York, NY 10025

$148,300-$198,800/yr

New, Posted 1 day ago

Recommended

DiversityJobs

Senior DSP Software Engineer

CIENA

New Providence, NJ 07974

Flexible Schedule

New, Posted 12 hours ago

ResumeLibrary

Software Engineer - On-site NYC

BrainTrust

New York, NY 10007

New, Posted 19 hours ago

Recommended

Field Structural Engineer (Solar Focused)

Pure Power Engineering

Newark, NJ 07195

$130,000-$160,000/yr

New, Posted 16 hours ago

iHire

Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10001

Remote

New, Posted 9 hours ago

Recommended

Principal Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$197,400-$264,700/yr

New, Posted 1 day ago

Apply Directly

Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 46 min 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.