HP IQ Logo

HP IQ

Senior Platform Engineer

Posted 16 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
150K-270K Annually
Senior level
In-Office
San Francisco, CA, USA
150K-270K Annually
Senior level
Build and operate shared platform infrastructure, automation, deployment workflows, and self-service tooling across cloud and edge environments. Improve developer velocity, reliability, security, observability, scalability, and production readiness. Responsibilities include Infrastructure-as-Code, CI/CD, monitoring, incident response, operational automation, platform architecture, and technical roadmaps. The role also troubleshoots complex systems and participates in an on-call rotation.
The summary above was generated by AI

Who We Are

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.

We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.

By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.

Join us as we reinvent work, so people everywhere can do their best work.

About The Role

As a Senior Platform Engineer at HP IQ, you will help build and evolve the infrastructure, tooling, and shared platform capabilities that enable our engineering teams to develop and operate reliable, secure, and scalable services across cloud and edge environments.
 You will work closely with application, services, AI/ML, and security teams to improve developer velocity, production readiness, reliability, and operational efficiency across a heterogeneous infrastructure footprint.

What You Might Do


  • Design, build, and maintain shared infrastructure and platform capabilities across cloud and edge environments.
  • Build automation and self-service tooling that improves engineering velocity and operational consistency.
  • Develop and maintain Infrastructure-as-Code, deployment workflows, and environment provisioning.
  • Partner with engineering teams on production readiness, including reliability, security, observability, scalability, and recovery.
  • Improve monitoring, alerting, incident response, and operational tooling across distributed environments.
  • Automate repetitive operational tasks and reduce infrastructure complexity.
  • Help define platform architecture, engineering standards, and technical roadmaps.
  • Participate in an on-call rotation for systems owned by the team.

Essential Qualifications


  • 5+ years of experience in Platform Engineering, SRE, Production Engineering, Infrastructure Engineering, or a similar role.
  • Strong experience building and operating production systems across cloud, on-prem, or edge environments.
  • Experience with containers, Kubernetes, networking, and distributed systems.
  • Experience with Infrastructure-as-Code and deployment automation.
  • Experience with CI/CD and modern observability practices.
  • Strong software development and automation skills, preferably in Python or a similar language.
  • Strong understanding of security, reliability, and production operations.
  • Ability to troubleshoot complex systems across application, infrastructure, network, and hardware boundaries.

Preferred Skills


  • Experience building internal developer platforms or self-service infrastructure.
  • Experience operating distributed systems across cloud and edge environments.
  • Experience with secrets management, identity, PKI, or infrastructure security.
  • Experience with highly available systems, distributed databases, and production data infrastructure.
  • Experience partnering with application teams to improve architecture and production readiness.

Salary Range: $150,000 - $220,000

Compensation & Benefits (Full-Time Employees)

The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

At HP IQ, we offer a competitive and comprehensive benefits package, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including; 
    • 4-12 weeks fully paid parental leave based on tenure
    • 11 paid holidays
    • Additional flexible paid vacation and sick leave (US benefits overview)

Why HP IQ?

HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work.

  • Innovative Work
    Help shape the future of intelligent computing and workplace transformation.
  • Autonomy and Agility
    Work with the speed and focus of a startup, backed by HP’s scale.
  • Meaningful Impact
    Build AI-powered solutions that help people and organisations thrive.
  • Flexible Work Environment
    Freedom and flexibility to do your best work.
  • Forward-Thinking Culture
    We learn fast, stay future-focused, and imagine what comes next—together.

Equal Opportunity Employer (EEO) Statement

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.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

HQ

HP IQ Palo Alto, California, USA Office

1501 Page Mill Road, Palo Alto, United States, 94304

HP IQ San Jose, California, USA Office

San Jose, United States

HP IQ Sunnyvale, California, USA Office

Sunnyvale, United States

Similar Jobs

2 Days Ago
Hybrid
San Francisco, CA, USA
150K-266K Annually
Senior level
150K-266K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Build and operate secure, resilient distributed systems for secrets and key management across Cloudflare’s global network. Re-architect internal PKI and machine or workload identity systems, participate in on-call incident response, support internal developers, and advise engineering teams on secure system design. The role requires software development, distributed systems expertise, Linux/UNIX administration, and hands-on security implementation experience.
Top Skills: Amd SevApple Secure EnclaveCryptographyDistributed SystemsGoHashicorp VaultHsmIntel SgxInternal PkiLinux/UnixMachine IdentityOpenbaoPythonSaltTpmWorkload Identity
2 Days Ago
Hybrid
Santa Clara, CA, USA
181K-317K Annually
Senior level
181K-317K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architects and builds large-scale distributed platform components and data ingestion systems. Designs scalable, fault-tolerant data lake architectures using Kubernetes, Iceberg, Kafka, Flink, and Spark. Develops reusable libraries and frameworks, leads complex technical initiatives, establishes engineering best practices, troubleshoots production issues, and provides technical leadership across engineering teams.
Top Skills: Apache FlinkApache IcebergApache KafkaSparkAvroData LakesDistributed SystemsGitopsHelmJavaJvmKubernetesLinux/Os InternalsMySQLNetworkingOracleOrcParquetPostgresSockets
2 Days Ago
Hybrid
181K-317K Annually
Senior level
181K-317K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architects and builds large-scale distributed platform components and data ingestion systems. Leads complex technical initiatives, establishes engineering best practices, develops reusable libraries and frameworks, and troubleshoots production issues. The role requires deep expertise in Java, JVM performance, Kubernetes, Helm, GitOps, Kafka, Flink, Spark, Iceberg, data lake architectures, fault tolerance, and high-performance backend systems.
Top Skills: Apache FlinkApache IcebergApache KafkaSparkAvroData LakesDistributed SystemsGitopsHelmJavaJvmKubernetesLinuxMySQLNetworkingOracleOrcParquetPostgresRelational DatabasesSockets

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account