3316 Associate Cloud Engineer jobs in New York,NY
Apply Directly
Principal Engineer - Python API Development
Fidelity Investments
Jersey City, NJ 07311
~ 22 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.
iHire
Engineer
Capital One
New York, NY 10001
New, Posted 1 day ago
Apply Directly
Associate Director, Analytics Automation & Reusability
Novartis
East Hanover, NJ 07936
$145,600-$270,400/yr
New, Posted 2 hours ago
Apply Directly
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)
Apply Directly
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.
Apply Directly
Technology Test Engineer
LMI Consulting, LLC
New York, NY 10001
Apply Directly
Associate Principal
Arup
New York, NY 10060
$244,250-$305,300/yr
Apply Directly
Associate, Quantitative Engineering
Goldman Sachs Services LLC
New York, NY 10060
New, Posted 6 hours ago
Software Development Job Training Program
Year Up United
New York, NY 10060
$525/wk
Apply Directly
Immediate Opening: Injection Molding Machine Operator (Entry-Level)
Cambridge Security Seals
New York, NY
OnsitePaid Time OffRetirement Benefit
- A high school education, Diploma, with an interest in manufacturing.
- A performance-driven, team-oriented and client-focused attitude/demeanor.
- Good written/verbal communication skills and an impressive work ethic.
- Strong attention to detail.
- A strong mechanical/technical aptitude or background with a willingness to learn.
- Ability to follow both written and verbal instructions in English.
- Must be able to work standing for an entire shift with frequent lifting up to 25 pounds.
- The ability to work productively and cooperatively in a team environment.
- Must be reliable and on time.
- Must pass our mandatory drug screening.
- You must presently live in or have a reasonable daily commute to the Rockland County area.
- In addition, you must pass initial and random drug testing.
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
What companies are hiring Associate Cloud Engineer jobs in New York,NY?
- Fidelity Investments
- Capital One
- Novartis
- KPMG
- LMI Consulting, LLC
- Arup
- Goldman Sachs Services LLC
- Year Up United
- Cambridge Security Seals
- Hire Standard Staffing
- Fidelity Investments
- Capital One
- Novartis
- KPMG
- LMI Consulting, LLC
- Arup
- Goldman Sachs Services LLC
- Year Up United
- Cambridge Security Seals
- Hire Standard Staffing
What is the yearly salary range for Associate Cloud Engineer jobs in New York,NY?
The yearly salary range is $120000 - $305300.
The yearly salary range is $120000 - $305300.
