1292 Aws Network jobs in New York,NY

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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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.

SmartExplore AI is experimental.

New, Posted 5 hours ago

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AI Engineer

Capital One

New York, NY 10001

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IT Systems Administration JOB Training Program

Year Up United

New York, NY 10261

$525/wk

Onsite

A high school graduate or GED recipient
Eligible to work in the U. S.
Highly motivated to learn technical and professional skills
Have not obtained a Bachelor's degree
You may be required to answer additional screening questions when applying

SmartExplore AI is experimental.

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Easy Apply

Call Center Rep Work From Home

Hire Standard Staffing

New York, NY

$120,000/yr

RemoteHealth Insurance

Must be a U.S. or Canadian citizen

SmartExplore AI is experimental.

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Weehawken, NJ 07086

~ 12 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.

Recommended

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Network Security JOB Training Program

Year Up United

New York, NY 10261

$525/wk

Onsite

A high school graduate or GED recipient
Eligible to work in the U. S.
Available Monday-Friday throughout the duration of the program
Highly motivated to learn technical and professional skills
Have not obtained a Bachelor's degree
You may be required to answer additional screening questions when applying

SmartExplore AI is experimental.

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89% of jobs ask for a resume

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Senior Associate, SAP S4 Public Cloud Professional Services Automation (PSA)

KPMG

New York, NY 10025

Onsite

Minimum three years of recent external management consulting experience with a focus on hybrid business model transformation, including at least one full lifecycle SAP S/4HANA Public Cloud implementation in Solution Order Management and/or Professional Services Automation, with demonstrated ability to support stakeholder engagement and contribute to business strategy and outcomes
Bachelor's degree in business administration, Information Systems, Sales, Finance, or related field from an accredited college/university
Experience supporting at least one full lifecycle SAP implementation focused on Solution Order Management, Subscription Billing, Service Contracts, and Professional Services Automation, with ability to contribute to workshops, assist in defining business-centric solutions, and support integration with related modules such as Sales, Finance, and Service Delivery
Strong delivery execution skills in finance transformation programs, with experience supporting phases from planning and design through build, testing, cutover, and hypercare, and assisting in issue resolution and stakeholder coordination
Demonstrated ability to contribute to hybrid business model transformation initiatives by supporting process innovation, collaborating on high-quality deliverables, and applying SAP digital tools for Solution Order, Subscription Billing, and PSA
Travel may be up to 50-80%
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.