Jobs2Careers logoHome

Full Stack Python Developer W2 Only

New York,NY

926 Full Stack Python Developer W2 Only jobs in New York,NY

New, Posted 19 hours ago
Apply Directly
Vice President, Full-Stack Engineer

BNY

New York, NY 10007

$83,000-$209,000/yr
New, Posted 2 hours ago
Recommended
Apply Directly
Principal Engineer - Python API Development

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 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.
SmartExplore AI is experimental.
View now
Easy Apply
Business Development Manager, STEM Partnerships

Liberty Science Center

Jersey City, NJ 07305

~ 22 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Valid driver's license (required)
SmartExplore AI is experimental.
View now
New, Posted 2 hours ago
Recommended
Apply Directly
Principal Engineer - Python API Development

Fidelity Investments

North Bergen, NJ 07047

~ 18 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.
SmartExplore AI is experimental.
View now
New, Posted 8 hours ago
Recommended
Android Developer - AI Trainer

DataAnnotation

Lyndhurst, NJ 07071

Flexible ScheduleBilingual Preferred
Apply Directly
Student Support Caregiver - Relocation to Hershey, PA Required

Milton Hershey School

Summit, NJ 07902

Urgently Hiring
New, Posted 7 hours ago
Direct Support Specialist - Full-Time

MATHENY MEDICAL AND EDUCATIONAL CENTER

Chatham, NJ 07928

$20-$24/hr
New, Posted 20 hours ago
Recommended
Apply Directly
AML Compliance Model Developer – Associate

Santander Holdings USA

New York, NY 10012

New, Posted 7 hours ago
Apply Directly
Lan Administrator Contractor

TEKsystems

New York, NY 10025

$30-$35/hr
OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 4 year degree preferred (or close to 4 years completed)
  • Experience as a tech worker in an enterprise sized company
  • Experience with mobile device management
  • Active Directory, Azure/Entra, EAC, Intune experience
  • VoIP Telephone / end user computer network experience (IDF room experience a+)
  • Excellent verbal and written communication skills (including command of spelling, grammar, nuanced meaning and tone)
  • Aptitude for detail-oriented and multiple-dependency decision making
  • Capable in high pressure environment
  • Genuinely interested in working on site 5 days a week and willing to do OT when necessary
  • Must have excellent communication skills and presentation skills
SmartExplore AI is experimental.
View now
New, Posted 19 hours ago
Recommended
Apply Directly
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.
SmartExplore AI is experimental.
View now

Recent Searches

    Browse Jobs in Top Cities

    Browse Jobs by State

    Browse Jobs by Title

    Free Resume Builder

    Post a Job

    About

    Advice

    Contact

    © 2026 Jobs2Careers. All rights reserved.

    Privacy Policy

    Terms of Use

    Your Privacy ChoicesCalifornia Consumer Privacy Act (CCPA) Opt-Out Icon

    Logos provided by Logo.dev

    Jobs2Careers Powered by Talroo

    Privacy Policy, Terms of Use, and Your Privacy Choices

    Browse Jobs in Top Cities

    Browse Jobs by State

    Browse Jobs by Title

    Free Resume Builder

    Post a Job

    About

    Advice

    Contact

    © 2026 Jobs2Careers. All rights reserved.

    Privacy Policy

    Terms of Use

    Your Privacy ChoicesCalifornia Consumer Privacy Act (CCPA) Opt-Out Icon

    Logos provided by Logo.dev

    Jobs2Careers Powered by Talroo