Job Description

Overview

We are seeking a highly skilled Senior Software Engineer to help build and scale HP's device analytics and insights platform. This role focuses on collecting, processing, and analyzing telemetry from millions of endpoints across Windows, MacOS, and Linux environments while enabling intelligent device insights, diagnostics, and automation.

The ideal candidate has deep systems-level expertise, strong cloud engineering experience, and a proven track record building enterprise-grade endpoint software deployed at scale.

Responsibilities

Design and develop cross-platform endpoint agents for Windows, and MacOS.
Build scalable telemetry pipelines for device health, performance, inventory, and diagnostics collection.
Develop low-level data collection frameworks interacting with OS internals and native APIs.
Investigate and resolve complex binary crashes, performance bottlenecks, and production incidents.
Design plugin-based architectures enabling extensible analytics and telemetry capabilities.
Build AI-powered automation, AI agents, and MCP tools to improve diagnostics and customer workflows.
Collaborate with cloud, security, and data engineering teams to deliver end-to-end solutions.
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

Systems & Platform Expertise

Strong understanding of Windows and MacOS internals.
Experience developing system services, daemons, background processes, and desktop applications.
Knowledge of device lifecycle, domain joining, device identity, and enterprise endpoint management.
Experience troubleshooting OS-level issues, native code crashes, memory leaks, and performance problems.

Enterprise Networking

Experience developing code that supports:

Enterprise proxies
Kerberos authentication
NTLM authentication
Secure network communications

Cloud & Distributed Systems

Strong AWS experience, including:

AWS IoT
AWS Kinesis
AWS CloudFront
Event-driven architectures
Large-scale telemetry ingestion pipelines

Software Engineering

Proficiency in one or more of:

C++
C#
Powershell - development modules
Go
Rust

Experience with plugin architecture and modular software design.
Ability to debug crashes and analyze application logs.

AI Agents & 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