685 Digital Verification Engineer jobs in New York,NY

Bachelor's degree or an equivalent combination of education and relevant experience.
5-8 years of experience in financial services operations, custody, settlements, or digital assets, with demonstrated leadership responsibility.
Strong understanding of operational risk management, controls, reconciliations, and regulated financial services environments.
Solid working knowledge of digital assets, blockchain technology, tokenization, and cryptocurrency markets.
Proven ability to lead teams, set priorities, and drive execution in a fast paced, high risk environment.
Experience partnering cross functionally with Technology, Product, Compliance, and Risk stakeholders.
Strong judgment, decision-making, and escalation skills, particularly during incidents or time-sensitive events.
Clear and confident communication skills, with the ability to represent operations to senior stakeholders.
Willingness to support flexible scheduling and provide leadership coverage outside of standard business hours when required.
This role is located in New York, NY.

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Senior Manager, Software Development Engineer in Test

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$171,600-$230,100/yr

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Principal Engineer - Python API Development

Fidelity Investments

Hoboken, NJ 07030

~ 16 min OnsiteEducation 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
A track record of building production‑grade services, libraries, and internal platforms
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
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

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AI Systems Lab- Test Engineering Technician

Advanced Micro Devices

Secaucus, NJ 07094

~ 18 min Onsite

Hands on experience testing and troubleshooting semiconductor GPUs, switches and CPUs in a semiconductor lab environment or reliability testing facility.
Previous experience working on server racks and datacenter.
Experience with MS Excel and PowerPoint
Demonstrated effective and collaborative communication and teamwork experience
Experience and ability to work autonomously and also collaboratively within a team environment to support Lab teams, Engineering, NPI, and Services
Work with lab tools (e.g.: diagnostics, tests, and standard semiconductor industry hardware and software)
Experience with Windows Server OS
Experience with Linux PXE services a plus
High attention to detail, and commitment to safety, quality, and continuous improvement
Associate's degree in Electronics, Information Technology or related, or an or equivalent combination of education and experience is preferred

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Graphic Designer Freelancer

Sid Jacobson JCC

Greenvale, NY 11548

Remote

Proven experience in graphic design across print and digital platforms
Strong portfolio demonstrating creative thinking, typography, layout, branding, and visual storytelling abilities
Proficiency in Adobe Creative Suite, including InDesign, Photoshop, and Illustrator
Ability to work independently while collaborating effectively with internal teams

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Manager, Advanced TV Partnerships - Independent Agencies

Spectrum

New York, NY 10036

Onsite

Bachelor's Degree in Business, Marketing, or equivalent combination of education and work experience
3+ years national sales experience with proven track record of building customer partnerships and achieving sales budgets
Successful track record of building new client relationships with both digital agencies and national and/or regional advertisers
In-depth knowledge of data, analytics, Online/Digital ad technology and previous experience incorporating these attributes into sales strategies
Prior sales experience in a revenue impacting capacity within programmatic CTV
Previous experience building, managing, and growing sales pipeline with independent agencies, holding companies, and client-direct partners
Skilled in sales strategy, sales planning, and revenue forecasting
Passionate about the convergence of entertainment, technology, and data that is fueling new opportunities for Spectrum Reach and our customers
Exceptional interpersonal and communication skills with the ability to influence while building strong relationships at all levels both externally and internally
Entrepreneurial mindset with the ability to quickly scale progress in a complex business landscape

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Electronic Warfare, Systems Engineering Lead

L3 Harris

Clifton, NJ 07011

~ 30 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree and minimum 9 years of prior relevant experience.
Graduate Degree and a minimum of 7 years of prior related experience.
In lieu of a degree, minimum of 13 years of prior related experience.
9 years of experience in systems engineering for radar, RF, or sensor systems
Ability to obtain secret clearance
Travel as needed to support program execution and customer engagement, including periodic travel to Amityville, NY - 25%
10%-20% travel
Background checks
Pre-employment substance abuse testing

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