3661 Lead Platform Devops Engineer jobs in New York,NY

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Project Engineer

Oerlikon Surface Solutions

Westbury, NY 11590

$75,000-$100,000/yr

~ 40 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in materials science or mechanical engineering
3 years job experience in thermal spray or PVD coating technologies
Must be proficient in using business and communications software (preferably Word, Excel, PowerPoint, common Windows operating systems, and Outlook)
Ability to travel 30% travel may be required
Work Location: In person

SmartExplore AI is experimental.

New, Posted 20 hours ago

iHire

AI Engineer

Capital One

New York, NY 10001

New, Posted 1 day ago

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Technology Test Engineer

LMI Consulting, LLC

New York, NY 10001

Easy Apply

Systems Architect

Hudson Technologies

Woodcliff Lake, NJ 07677

Remote

D365CE modules including Sales, Customer Service, Field Service, and Marketing
Dual Write (mandatory)
Dataverse and Power Platform
Strong understanding of integrations with D365 Finance & Operations
Excellent stakeholder communication and leadership skills
Familiarity with DevOps, CI/CD pipelines, and release management
Knowledge of data governance and security best practices
Strategic thinker with hands-on execution ability
Strong problem-solving and troubleshooting skills
Leadership in both project delivery and support environments
Ability to operate in fast-paced, evolving business environments
Bachelor's Degree in Computer Science or related field of study
10+ years of experience in Microsoft Dynamics ecosystem
Microsoft certifications in D365CE / Power Platform
Minimum 5 full-cycle D365CE implementations
Hands-on experience with customer journey orchestration and email marketing within D365
Proven experience leading support teams and post-go-live operations
Experience with Azure services, APIs, and middleware
Experience with Customer Insights and advanced segmentation/personalization strategies
Experience in industrial, manufacturing, or environmental services sectors
Not eligible for visa sponsorship

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Manager, Solutions Consulting

Palo Alto Networks

New York, NY 10001

$224,000-$308,000/yr

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Director Software Engineering - Customer Innovation Lab

Disability Solutions

New York, NY 10261

New, Posted 1 day ago

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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.