Full-Stack Software Engineer – Backend, Observability, UI

Full-Stack Software Engineer – Backend, Observability, UI

Our ideal candidate is a versatile Full-Stack Software Engineer who thrives in a fast-paced, start-up culture where innovation, ownership, and agility are key. This role spans backend development in Python and Go, building intuitive UIs, and enhancing system observability with Prometheus and telemetry tools. You’ll work with Mongo

DB for data management and have the opportunity to explore AI integration as a bonus area of growth.

• Design, develop and maintain backend services using Python and Go.
• Build responsive, user-friendly UI components and dashboards.
• Design and implement telemetry and observability solutions using Prometheus.
• Work with Mongo
  
  DB to manage data models and optimize queries.
• Collaborate with cross-functional teams including product, design, and Dev Ops.
• Participate in code reviews, architecture planning, and agile development.
• Troubleshoot and resolve issues across the stack, from UI to backend services.
• Optionally contribute to AI-powered features or data-driven enhancements.
• Provides guidance and mentoring to less‑experienced staff members.

Recommended:
Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7-10 years of work experience, preferably in applications engineering, programming, or a related field.

• Proficiency in Python and Go for backend development.
• Experience with front-end technologies (e.g., React).
• Strong understanding of telemetry systems and observability practices.
• Hands‑on experience with Prometheus and monitoring tools.
• Solid knowledge of Mongo
  
  DB and data modeling.
• Familiarity with RESTful APIs and microservices architecture.
• Excellent problem‑solving and communication skills.
• Customer‑centricity and a focus on results.

• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Exposure to CI/CD pipelines and infrastructure as code.
• Interest or experience in integrating AI/ML features into applications.

Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

The pay range for this role is $116,150 to $165,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

• 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 )

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job Posting End Date:
Feb 13th, 2026

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”