Senior Windows Application Developer
AI in this role
Description -
Overview
We are looking for a Software Engineer to contribute to HP's Insights Analytics platform focused on Windows endpoint telemetry, diagnostics, and device intelligence. This role involves building reliable data collection services, cloud integrations, deployment solutions, and analytics capabilities for enterprise-managed Windows environments.
Responsibilities
Develop and maintain Windows-based telemetry and analytics components.
Build windows services and background processes for collecting device health, inventory, and performance data.
Implement scalable telemetry integrations with cloud-based analytics platforms.
Develop plugin-based capabilities to extend endpoint functionality.
Troubleshoot production issues, application crashes, and deployment failures.
Support enterprise deployments and update mechanisms.
Contribute to AI-enabled diagnostics, automation, and agent workflows.
Collaborate with product, cloud, and platform engineering teams.
Required Qualifications
Windows Platform Expertise
Strong understanding of Windows internals.
Experience developing Windows Services and background applications.
Knowledge of Windows Registry, WMI, Event Logs, Performance Counters, and system diagnostics.
Understanding of Active Directory, domain-joined devices, and enterprise device management.
Software Development
Strong proficiency in:
C#
C++
Powershell - development modules
Experience with plugin architecture and modular software design.
Ability to debug crashes and analyze application logs.
Enterprise Networking
Experience developing code that supports:
Enterprise proxies
Kerberos authentication
NTLM authentication
Secure network communications
Cloud & Data Platforms
Hands-on AWS experience with:
AWS IoT
AWS Kinesis
AWS CloudFront
Understanding of telemetry pipelines and event-driven systems.
AIAgents & Workflow orchestration
Exposure to AI agents and workflow orchestration.
Familiarity with MCP tools and integrations is a plus.
Preferred Qualifications
Experience with developing windows .net based services desktop based application with windows internals knowledge
Familiarity with client-server architecture. AWS managed services knowledge is preferrable.
Analytical skills with respect to understanding of device data patterns.
Experience collecting and analyzing low-level device telemetry.
Knowledge of enterprise security and compliance practices.
Experience & Education
4–7 years of software engineering experience.
4+ years developing enterprise Windows applications.
Experience supporting software deployed at enterprise scale.
B.E/ B.Tech preferred or any Bachelors degree.
#LI-POST
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (India)Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
How we rate this
Senior Windows Application Developer at HP rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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