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Fun Companies Work In Nyc Jobs in California (NOW HIRING)

DoorDash

Lead Line Cook

Redwood City, CA · On-site

You are highly organized, work well under pressure and execute tasks with speed, accuracy and attention to detail Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in ...

Mercor

Strategic Project Associate

San Francisco, CA · On-site

$120K/yr

We work in-person five days a week in our San Francisco, NYC, or London offices. About the Role Silicon Valley's top AI companies work with Mercor to find domain experts who can help train and ...

DoorDash

Line Cook Development Kitchen

Redwood City, CA · On-site

You are highly organized, work well under pressure and execute tasks with speed, accuracy and attention to detail * You are keen on learning new things Notice to Applicants for Jobs Located in NYC or ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment. Notice to Applicants for Jobs Located in NYC or Remote Jobs ...

DoorDash

Full-time Line Cook

Redwood City, CA · On-site

Want to work in new restaurant models including delivery-only environments. We're excited about you ... Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We ...

DoorDash

Strategic Partner Manager II

Los Angeles, CA · On-site

... in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or ... Base salary is localized according to employee work location. In addition to base salary, the ...

DoorDash

Outside Account Manager

Los Angeles, CA · On-site

... in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or ... Base salary is localized according to employee work location. In addition to base salary, the ...

DoorDash

Manufacturing Quality Engineer

Fremont, CA · On-site

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We ... Base salary is localized according to an employee's work location. Ranges are market-dependent and ...

DoorDash

Lead Data Scientist

San Francisco, CA · On-site

Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations ... in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or ...

DoorDash

DashMart Team Member - Colma

San Francisco, CA · On-site

$19.60/hr

Work with the teams goals in mind, sharing ideas, opportunities and challenges where appropriate ... Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We ...

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What is the difference between Fun Companies Work In Nyc vs Event Coordinators?

AspectFun Companies Work In NycEvent Coordinators
Required CredentialsHigh school diploma or equivalent; some roles may require hospitality or customer service experienceHigh school diploma; certifications in event planning or hospitality are a plus
Work EnvironmentFast-paced, dynamic, often indoors or at event venuesVaries from indoor conference centers to outdoor venues, often involving travel within NYC
Employer & Industry UsageEmployers include entertainment, hospitality, and event companies in NYCPrimarily employed by event planning firms, hotels, or corporate event departments

Fun Companies Work In Nyc and Event Coordinators both involve organizing and managing events, but Fun Companies often focus on entertainment and customer engagement, while Event Coordinators handle the planning and logistics of various events. The roles share similar credentials and work environments, making them closely related in NYC's vibrant event industry.

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What job categories do people searching Fun Companies Work In Nyc jobs in California look for? The top searched job categories for Fun Companies Work In Nyc jobs in California are:
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Fun Companies Work In Nyc jobs near you

Infrastructure Engineer-NYC, NY / San Francisco, CA-Onsite Work- F2F Interview- Fulltime

American IT Systems

San Francisco, CA • On-site

$126K - $166K/yr

Other

Posted 20 days ago

Job description

Infrastructure Engineer
NYC, NY / San Francisco, CA-Onsite Work- F2F Interview
Fulltime
Company Overview
  • provides AI data infrastructure for financial services, focusing on accurate data consolidation and security.
  • The company has strong backing, launched out of stealth, and is supported by experienced founders and top-tier investors.

Role Requirements
  • Product Engineer role requires a strong engineering background, ideally from high-growth startups or top tech companies.
  • Focus on full-stack engineering with a preference for back-end experience; experience in sophisticated product development is crucial.

Candidate Requirements
  • Looking for candidates from top engineering schools, but strong experience can compensate for less prestigious educational backgrounds.
  • Experience in high-growth or established tech firms is preferred; a strong engineering culture is essential.

Compensation and Logistics
  • Positions are based in SF or NY, with onsite work expected, but flexible hours are allowed.

Timeline and Urgency
  • High urgency to hire; open to hiring multiple candidates per role quickly if they meet the criteria.
  • Interview process is swift, involving a 30-minute call, a 50-minute coding interview, and a final onsite project-focused interview.

Pain Points
  • The main bottleneck is the number of engineers, limiting the ability to take on new business opportunities.

Ideal Candidate Profile
  • Motivated by joining an early-stage startup
  • Strong technical skills with a history of significant contributions to high-impact projects.
Seniority

1 - 10 years of experience in cloud or data infrastructure engineering; senior- leaning first NYC hire; 4- 5+ years unless top- 25 CS degree or strong- startup pedigree

Work experience

Experience at a company with a strong, sophisticated engineering bar (e. g. , early team at Stripe, Databricks, Applied Intuition, Decagon, Sierra, Cursor, early Retool, early Scale AI, or equivalent)

One of two archetypes:

Archetype 1: Cloud Infra Engineer deploying across AWS, Google Cloud Platform, Azure.

Archetype 2: Data Infra Engineer building complex data ingestion pipelines.

High slope: demonstrated through strong progression in title/scope changes (e. g. , promoted to senior SWE 1- 2 years early)

ML infrastructure exposure is a strong plus

Regulated industry experience

Education

Degree from a top 25 Computer Science program.

Hard skills

Expertise in at least one major cloud platform (AWS, Google Cloud Platform, Azure) and data pipeline tooling (Databricks, etc. ) with containerization/Kubernetes at scale; data- pipeline tooling is secondary, not the core.

Soft skills

Clear, strong motivation for joining an early- stage startup.

Note: engineers based in NYC should have 4- 5+ years of experience unless they have experience working at a strong startup/have a top 25 cs degree

Traits to avoid

No experience from a company with a strong engineering culture (e. g. , unknown startups, slow- moving companies)

Solely FAANG/big tech experience

About this role

The Role

We're looking for Infrastructure Engineers who will be instrumental in building and securing the backbone of our enterprise-grade AI data platform. You'll design systems that handle large volumes of sensitive financial data under strict security and compliance requirements, including real-time correlation of public data with private, tenant-isolated customer data at scale.

What You'll Do

  • Design and build scalable infrastructure to support our AI-powered knowledge engine processing structured and unstructured financial data

  • Implement security-first architecture for private cloud deployments, ensuring data governance meets financial services requirements

  • Build robust data ingestion pipelines that handle everything from CapIQ feeds [structured data] to internal SharePoint documents [unstructured data]

  • Develop monitoring and alerting systems for our BYOC platform

  • Implement access controls and audit trails to ensure AI interactions are traceable back to primary sources

  • Partner with our AI Research and Product teams to optimize infrastructure for LLM inference and training workloads and building agent infrastructure

  • Establish CI/CD practices and infrastructure-as-code for rapid, reliable deployments orchestrated across multiple cloud providers

What You Have

  • 3-10 years of experience in infrastructure or platform engineering

  • Strong background in cloud platforms (AWS, Google Cloud Platform, or Azure) with expertise in containerization and kubernetes

  • Security-minded approach with experience in data governance, especially in regulated industries

  • Experience with data pipeline technologies and real-time processing frameworks; most any ETL experience will do

  • Knowledge of modern monitoring, logging, and observability tools; we use Datadog

  • Understanding of compliance requirements (SOC, SOX, GDPR, financial services regulations is a plus)

  • Startup mentality with the ability to move fast while building robust, scalable systems

  • Experience with AI platforms like SageMaker or Bedrock

Interview Process:

1. Initial Screen (30 minutes)
30-minute conversation with the hiring manager, Yang, to assess background, fit, and motivations for joining.
2. Coding Interview (15 minutes)
coding interview conducted on Coderpad - focus is on implementation rather than Leetcode-style algorithms questions. AI tools not permitted.
3. Final On-site Interview (5-6 hours)
final, in-person interview that is project-oriented. For more senior candidates, this stage will also include a system design component.

Apply