1134 Aws Cloud jobs in Elizabeth,NJ

Senior Startup Investor Manager, VC (or Angel) , AWS Worldwide Startups

Amazon

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Experience managing competing priorities and using metrics to drive business decisions
7+ years of experience in technology industry with focus on startups, ideally in combination with technical roles
Strong understanding of cloud computing architectures, services, and best practices and familiarity with generative AI technologies
Understanding of technical patterns and architectures for workloads relevant to startups
Bachelor's degree in technical or technical management field or equivalent experience

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Director, Google Cloud Security, Solution Architect

KPMG

New York, NY 10025

Minimum eight years of recent experience in security architecture
At least four years of hands-on experience designing and implementing security solutions on Google Cloud Platform
Bachelor's degree from an accredited college/university or a minimum of ten years of equivalent experience
Google Cloud Professional Cloud Security Engineer, Professional Cloud Architect, or other relevant Google Cloud certifications are highly preferred
Certifications like CISSP are a plus
Deep technical expertise in Google Cloud security services, including core Google Cloud Platform services, Google SecOps SIEM/SOAR, Security Command Center, and other native security controls
Hands-on experience with Google AI technologies such as Vertex AI and Gemini Enterprise, and their integration with enterprise security solutions
Exceptional client-facing and presentation skills with a demonstrated ability to lead technical sales discussions, build client relationships, and align solutions with business needs
Experience in collaborating with cross-functional teams such as system administrators, data scientists, architects, and cybersecurity engineers to customize solutions
Ability and willingness to travel as needed for client support
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

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New, Posted 23 hours ago

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Senior Portfolio Growth Manager, Digital Native, AWS Worldwide Startups

Amazon

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

5+ years of solving problems with technology in the Global Financial Services Industry experience
5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
Experience developing strategies that influence leadership decisions at the organizational level
Experience selling enterprise software or cloud-based applications
Experience explaining complex technical concepts to various business and technical audiences

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New, Posted 5 hours ago

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Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

Capital One

New York, NY 10001

New, Posted 5 hours ago

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Major Account Sales

Spectrum

New York, NY 10010

OnsiteUrgently Hiring

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
High school diploma or equivalent from an accredited organization (GED)
Experience selling to corporate executives and outside sales to enterprise, healthcare, government or education clients
Read, write, speak and understand English
Proficiency in Microsoft Excel, Word, PowerPoint and Visio
Experience with ICOMS/CSG or other billing systems
Knowledge of complex services, telecommunications infrastructure and equipment (Routers, Switches, Frame Relay, ATM, SONET, Ethernet)
Understanding of TCP/IP networking, network security, firewalls and telephony products (T1, PRI, SIP)
Familiarity with business software, hardware applications, Intranets and Salesforce
Experience negotiating Master Service Agreements and selling financial/business benefits, closing sales and presenting technical solutions
Valid and active State driver's license with a safe driving record

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New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Belleville, NJ 07109

~ 24 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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New, Posted 2 hours ago

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Sr. Data / M/L Engineer [211066]

Skill

New York, NY 10261

Hybrid

Strong SQL and database management experience
Experience with data pipelines and ETL processes
Proficiency in machine learning and statistical modeling
Experience with BI tools (Power BI, Tableau)
Full-stack development knowledge
Experience with cloud platforms (AWS preferred)
Data architecture
Data modeling n
Infrastructure setup
Ability to work with large-scale datasets
Programming experience (likely Python/R inferred)
Strong problem-solving and analytical skills
Bachelor's degree in Electrical Engineering or Computer Engineering
The role requires full stack knowledge, including front-end and back-end components, and the ability to set up new infrastructure.

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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
An advanced degree is a plus
Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
Alpha generation workflows or closely related quantitative research processes in finance/investments
Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
API-first platform design and developer experience best practices
AI/ML applications for workflow automation, data validation, and operational excellence
Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology
Demonstrated strength in partnership-building and cross-functional collaboration
Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans
Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
4 days in the office per week, with the flexibility to work from home 1 day a week

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New, Posted 5 hours ago

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Human Resources Technology Data Engineer

LHH US

Manhattan, NY 10025

$85-$100/hr

HybridHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field.
5-8 years of professional software engineering experience.
Proven track record of hands on development in enterprise scale systems, preferably in HR.
Strong proficiency in at least one core programming language (Python or Java).
Deep experience with relational databases, NoSQL stores, and complex query design.
Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.

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Shop Inspector- Certified Welding Inspector

KIWA

Warren, NJ 07059

~ 31 min Onsite

Certified Welding Inspector
Current CWI
5+ years shop inspection experience
High school diploma or equivalent
Thorough understanding of third-party inspection processes (NDE, FAT, Assembly, etc.)
Understanding of and experience with industry quality standards and codes (API, ASNT, ASME, NACE, DS-1, etc.)
Adequate verbal and written communication skills to interface with customers and co-workers
Basic PC skills and some proficiency with spreadsheets
Ability to work in a team-oriented environment and complete work on a schedule, including working long hours and weekends if necessary
Decision-making ability, including making decisions regarding day-to-day operations and changing methods to obtain best results

SmartExplore AI is experimental.