1025 Avp Software Development jobs in New York,NY

Deskside Support Technician
Provide daily hardware support to end users for PCs, laptops, tablets, and printers
Daily software support including operating systems and applications running on devices
Support for internal end-users and handles all requests related to Windows/PC issues, Microsoft Office, Group Policies, Active Directory, VPN/networking, setting up devices with applications, and Exchange
Install, configure, maintain, repair, upgrade, and troubleshoot PC workstations, servers, printers, network equipment, telecommunications systems, software, and databases used by the company
Provide technical support and problem resolution for hardware, software, network, and system issues for all users, either in person or remotely
Work with hardware vendors, software vendors, and service providers to diagnose, troubleshoot, and resolve technical issues
Responding to and resolving tickets through a ticketing system
Provide recommendations on desktop, laptop, server, virtualization, and network configurations to support business needs
Software deployment and endpoint management
Diagnose and resolve hardware, software, and connectivity issues in a timely and professional manner
Configure, administer, and maintain application, file, print, and network servers, including domain controllers and Microsoft 365 email and collaboration systems
Experience supporting Office 365 (Outlook troubleshooting, user issues)
Managing user accounts and access (user provisioning, password resets, access support, and basic security practices) via Active Directory
Must possess advanced critical thinking skills
Ability to develop and write technical documentation
Excellent self-organization and time management skills
Deliver high-quality customer service in a front-facing support role

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Technology Test Engineer

LMI Consulting, LLC

New York, NY 10001

New, Posted 1 day ago

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TSA Security Inspector - No Experience Required

Airport Security Careers

Long Island City, NY 11101

No Experience

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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.