Full-Stack Software Engineer – Backend, Observability, UI

📍 Job Overview

Job Title: Full-Stack Software Engineer – Backend, Observability, UI

Company: HP

Location: Spring, Texas, US & Fort Collins, Colorado, US

Job Type: Full-Time

Category: Software Engineering / Backend Development / Frontend Development / Observability Engineering

Date Posted: 2026-01-10

Experience Level: Mid-Senior Level (7-10 years)

Remote Status: On-site

🚀 Role Summary

• Design, develop, and maintain robust backend services leveraging Python and Go to support core application functionality.

• Construct intuitive and responsive UI components and comprehensive dashboards for enhanced user experience and data visualization.

• Implement and manage telemetry and observability solutions using industry-standard tools like Prometheus to ensure system health and performance.

• Utilize MongoDB for efficient data management, including schema design and query optimization.

• Engage in collaborative development cycles, including code reviews, architecture planning, and agile methodologies.

📝 Enhancement Note: While the core title is "Full-Stack Software Engineer," the emphasis on "Backend, Observability, UI" and the specific mention of Python, Go, React, Prometheus, and MongoDB indicates a specialized role focused on building and maintaining the technical infrastructure of a product or service. This role requires a blend of backend service development, frontend interface creation, and deep expertise in monitoring and data management. The mention of "AI-powered features" suggests potential involvement in advanced analytics or intelligent application components.

📈 Primary Responsibilities

• Develop and deploy scalable backend services using Python and Go, ensuring high availability and performance.

• Design, implement, and iterate on user-friendly and responsive front-end interfaces and dashboards using modern JavaScript frameworks (e.g., React).

• Establish and maintain comprehensive telemetry, monitoring, and alerting systems using Prometheus to proactively identify and resolve system issues.

• Manage and optimize MongoDB databases, including data modeling, query tuning, and performance enhancements.

• Collaborate closely with product managers, designers, and DevOps engineers to translate requirements into robust technical solutions.

• Actively participate in code reviews, architectural discussions, and sprint planning to uphold code quality and drive technical innovation.

• Troubleshoot and resolve complex issues across the entire technology stack, from the user interface to backend services and database layers.

• Contribute to the development and integration of AI/ML-powered features, enhancing application intelligence and user value.

• Provide technical guidance, mentorship, and support to junior engineers, fostering a culture of continuous learning and development.

📝 Enhancement Note: The responsibilities highlight a need for a well-rounded engineer capable of owning features end-to-end. The "Observability" aspect is particularly critical, implying a need for proactive system health monitoring and incident response capabilities, which is a key function within DevOps and SRE practices. The mentorship requirement suggests this role may involve some level of technical leadership.

🎓 Skills & Qualifications

Education:

• Four-year or Graduate Degree in Computer Science, Information Systems, or a related technical discipline.

Experience:

Required Skills:

• Backend Development:

  • Proficiency in Python for developing robust and scalable backend services.
  • Expertise in Go (Golang) for building high-performance microservices and concurrent applications.
  • Solid understanding of RESTful APIs and microservices architecture principles.

• Frontend Development:

  • Experience with modern front-end technologies, particularly React, for building responsive and interactive UI components.
  • Ability to create user-friendly dashboards and data visualization interfaces.

• Observability & Monitoring:

  • Strong understanding of telemetry systems, monitoring practices, and observability principles.
  • Hands-on experience with Prometheus for metrics collection, alerting, and time-series data analysis.
  • Familiarity with other monitoring and logging tools is a plus.

• Database Management:

  • Solid knowledge of MongoDB, including data modeling, schema design, and query optimization.

• Software Development Lifecycle:

  • Experience with agile development methodologies, code reviews, and CI/CD pipelines.
  • Familiarity with version control systems (e.g., Git).

• Problem-Solving:

  • Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex issues across the full stack.

• Communication: Preferred Skills:

• Familiarity with containerization technologies such as Docker.

• Experience with container orchestration platforms like Kubernetes.

• Exposure to infrastructure as code (IaC) principles and tools.

• Interest or demonstrated experience in integrating AI/ML features into applications.

• Experience with other database technologies (SQL, NoSQL).

• Understanding of cloud platforms (AWS, Azure, GCP).

📝 Enhancement Note: The requirement for both Python and Go, along with React and Prometheus, indicates a need for a versatile engineer. The "7-10 years" experience level implies a candidate expected to contribute independently and potentially mentor others. The "AI-powered features" is a forward-looking requirement that may not be a primary focus initially but offers a growth area.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Backend Service Demonstrations: Showcase examples of backend services developed using Python and/or Go, highlighting scalability, API design, and error handling.

• UI Component Showcase: Present examples of responsive UI components or dashboards built with React, emphasizing user experience, data visualization, and interactivity.

• Observability Implementation: Document instances where you've implemented or managed telemetry and monitoring solutions, ideally using Prometheus, explaining the setup, metrics collected, and insights gained.

• Data Management Projects: Provide examples of how you've worked with NoSQL databases like MongoDB, illustrating data modeling techniques, query optimization strategies, and performance improvements.

Process Documentation:

• Workflow Design & Optimization: Be prepared to discuss how you approach designing new workflows or optimizing existing ones for backend services, UI development, or observability pipelines.

• System Implementation & Automation: Detail your experience in implementing new systems or features, with a focus on automation, testing, and deployment processes (CI/CD).

• Performance Measurement & Analysis: Demonstrate your ability to define, track, and analyze key performance indicators (KPIs) for backend services, UI responsiveness, and system health.

📝 Enhancement Note: For a full-stack role with an observability component, a portfolio should ideally showcase projects that span the entire stack. This includes code repositories (GitHub/GitLab), live demos (if possible), and detailed case studies explaining the problem, your solution, the technologies used, and the impact (e.g., performance improvements, reduced downtime, enhanced user engagement). Quantifiable results are crucial.

💵 Compensation & Benefits

Salary Range:

• Spring, TX: Based on 7-10 years of experience for a Full-Stack Software Engineer with specialization in backend, observability, and UI, the estimated salary range in Spring, Texas, is approximately $120,000 - $160,000 annually. This range accounts for the cost of living in the Houston metropolitan area and the specific technical skill set required.

• Fort Collins, CO: For a similar role in Fort Collins, Colorado, the estimated salary range is approximately $115,000 - $155,000 annually. This reflects the generally lower cost of living compared to major tech hubs but still demands competitive compensation for specialized engineering talent.

Benefits:

• Comprehensive Health, Dental, and Vision Insurance.

• Retirement Savings Plan (e.g., 401(k) with company match).

• Paid Time Off (PTO), including vacation, sick leave, and holidays.

• Life and Disability Insurance.

• Professional Development Opportunities: Access to training, conferences, and certifications to enhance skills in Python, Go, React, Observability, and AI/ML.

• Employee Assistance Program (EAP).

Working Hours:

• Standard full-time work schedule of approximately 40 hours per week.

• Flexibility may be offered, but on-site presence is expected.

• Occasional availability for critical issue resolution outside standard hours may be required, common in observability-focused roles.

📝 Enhancement Note: The salary ranges are estimates for the specified locations and experience level, based on industry benchmarks for similar roles in the US. Actual compensation will depend on HP's internal compensation structure, the candidate's specific qualifications, and negotiation. The benefits listed are standard for a large technology company like HP.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Information Technology / Computing & IT Solutions. HP is a global leader in technology solutions, providing a wide range of products and services from personal computing and printing to enterprise IT infrastructure and services.

Company Size: HP is a large, established corporation (likely tens of thousands of employees globally). This implies structured processes, established career paths, and a significant impact on the industry.

Founded: 1939. With a long history, HP has a deeply ingrained corporate culture, emphasizing innovation, customer focus, and engineering excellence.

Team Structure:

• The role is likely within an engineering division responsible for developing and maintaining specific software products or platforms.

• The team will include other software engineers (backend, frontend, full-stack), potentially QA engineers, DevOps engineers, product managers, and designers.

Methodology:

• Data Analysis & Insights: The role's focus on observability and potential AI features suggests a strong emphasis on data-driven decision-making, using metrics and telemetry to guide development and operational improvements.

• Workflow Planning & Optimization: Engineers are expected to contribute to the planning and optimization of development workflows, CI/CD pipelines, and system architectures.

• Automation & Efficiency: A core expectation will be the development of automated solutions for testing, deployment, monitoring, and operational tasks to enhance efficiency and reliability.

Company Website: https://www.hp.com/

📝 Enhancement Note: Working in a large, established tech company like HP means operating within a defined framework. Engineers are expected to adhere to established best practices, participate in formal review processes, and contribute to long-term product roadmaps. The scale of HP's operations means that solutions developed here can have a significant global impact.

📈 Career & Growth Analysis

Operations Career Level: This position is at a Mid-Senior to Senior level, indicated by the 7-10 years of experience requirement. As a Full-Stack Software Engineer, the role demands a high degree of technical autonomy, problem-solving capability, and potentially the ability to influence technical direction. It sits within the broader engineering function, contributing to product development and platform stability.

Reporting Structure: The engineer will likely report to an Engineering Manager or a Technical Lead within a specific product or platform team. Collaboration will be extensive with cross-functional teams including Product Management, UX/UI Design, and DevOps/SRE.

Operations Impact: The impact of this role is significant, directly influencing the functionality, reliability, and user experience of HP's software products. Expertise in backend services, UI development, and especially observability ensures that the systems are not only functional but also performant, stable, and maintainable. Contributions to AI features can drive innovation and competitive advantage.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific areas such as distributed systems, cloud-native architectures, advanced observability techniques, or AI/ML integration.

• Technical Leadership: Progress into roles such as Staff Engineer, Principal Engineer, or Architect, taking on more complex technical challenges and driving architectural decisions.

• Management Track: Transition into engineering management roles, leading teams, mentoring engineers, and managing project lifecycles.

• Cross-Functional Mobility: Opportunities to move into related roles within product management, program management, or specialized areas like site reliability engineering (SRE).

📝 Enhancement Note: The role offers a clear path for technical growth within a large organization. The dual focus on development and observability positions the candidate well for roles that require a holistic understanding of the software lifecycle, from creation to ongoing operation and performance monitoring.

🌐 Work Environment

Office Type: This role is designated as "On-site," meaning work will be performed from HP's designated office locations in Spring, TX, or Fort Collins, CO. This implies a traditional office environment with desks, meeting rooms, and collaborative spaces.

Office Location(s):

• Spring, Texas: Located in the Houston metropolitan area, offering access to a large talent pool and a significant business hub.

• Fort Collins, Colorado: Situated in Northern Colorado, known for its tech presence and outdoor lifestyle.

Workspace Context:

• Collaborative Environment: Expect an office setup designed to foster collaboration, with shared workspaces, meeting rooms, and common areas for team interaction.

• Operations Tools & Technology: Access to HP's standard development tools, hardware, and software infrastructure will be provided. This includes development machines, network access, and collaboration platforms.

• Team Interaction: Regular face-to-face interaction with team members, including engineers, product managers, and designers, to facilitate efficient communication and problem-solving.

Work Schedule: The standard work schedule is typically 40 hours per week, aligning with business needs. While on-site, there might be some flexibility in start/end times, but consistent presence during core business hours is expected for team collaboration and project delivery.

📝 Enhancement Note: The on-site requirement suggests an emphasis on in-person collaboration, which can be beneficial for complex problem-solving and team cohesion. Candidates should be prepared for a structured office environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Technical Phone/Video Interview: This typically involves discussing your background, problem-solving approach, and possibly a live coding exercise or architectural discussion focusing on Python, Go,

React, or observability concepts.

• On-site/Virtual On-site Interviews: Multiple rounds of interviews, potentially including:

  • Coding Challenges: In-depth coding problems in Python, Go, or JavaScript, testing algorithm design and implementation.
  • System Design: Designing a scalable backend system, an observability solution, or a complex UI, focusing on trade-offs and architectural choices.
  • Behavioral Interviews: Assessing teamwork, leadership, conflict resolution, and alignment with HP's values.
  • Manager/Lead Interview: A final discussion with the hiring manager or team lead to evaluate overall fit and career aspirations.

• Portfolio Review: Be prepared to walk through specific projects from your portfolio, explaining your contributions, technical decisions, and the impact of your work.

Portfolio Review Tips:

• Curate Select Projects: Choose 2-3 projects that best demonstrate your full-stack capabilities, with a strong emphasis on your backend (Python/Go), UI (React), and observability (Prometheus) skills.

• Highlight Impact: For each project, clearly articulate the problem you solved, your specific role and contributions, the technologies used, and the quantifiable results (e.g., performance improvements, reduced error rates, user satisfaction).

• Code Quality: Ensure any code samples are well-documented, follow best practices, and are easily navigable. Public GitHub repositories are ideal.

• Observability Case Study: If you have a dedicated observability project, detail the setup, the metrics you chose to monitor, how you configured alerts, and how this visibility helped prevent or resolve issues.

• Be Ready to Code: Practice coding exercises relevant to Python, Go, and JavaScript.

Challenge Preparation:

• System Design: Practice designing distributed systems, microservices architectures, and scalable APIs. Consider aspects like data storage, caching, load balancing, and fault tolerance.

• Observability Design: Think about how you would instrument a given application, what metrics are critical for its health, and how you would set up alerts using Prometheus.

• Full-Stack Scenarios: Prepare for scenarios that require you to think about how frontend and backend components interact, data flow, and error handling across the stack.

📝 Enhancement Note: For this role, demonstrating practical experience with observability tools like Prometheus is key. Candidates should be prepared to discuss specific metrics, alert configurations, and how they've used these tools to improve system stability and performance. Quantifiable results from portfolio projects are paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Backend Languages: Python, Go (Golang)

• Frontend Frameworks: React (or similar modern JavaScript frameworks like Angular, Vue.js)

• Databases: MongoDB (primary focus), potentially SQL databases (e.g., PostgreSQL, MySQL)

• Observability & Monitoring: Prometheus (core requirement), Grafana (for dashboards), potentially ELK Stack (Elasticsearch, Logstash, Kibana) or similar logging solutions.

• Version Control: Git (e.g., GitHub, GitLab, Bitbucket)

Analytics & Reporting:

• Tools for visualizing metrics and logs (e.g., Grafana, Kibana).

CRM & Automation:

• While not directly a CRM role, understanding how backend services support customer-facing applications is important.

• Familiarity with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions).

• Containerization: Docker.

• Orchestration: Kubernetes.

📝 Enhancement Note: Proficiency in Python, Go, React, and Prometheus is essential. Experience with MongoDB is also a strong requirement. Familiarity with Docker and Kubernetes is highly advantageous for modern cloud-native development and deployment practices.

👥 Team Culture & Values

Operations Values:

• Engineering Excellence: A commitment to writing high-quality, maintainable, and scalable code. This includes adherence to coding standards, thorough testing, and robust error handling.

• Customer Focus: Understanding that the ultimate goal is to deliver value to HP's customers through reliable and user-friendly software. This translates to building features that meet user needs and ensuring system uptime.

• Collaboration & Teamwork: A strong emphasis on working effectively with cross-functional teams, sharing knowledge, and supporting team members to achieve common goals.

• Continuous Improvement: A proactive approach to identifying areas for enhancement, whether in code, processes, or system performance, and actively seeking solutions.

• Data-Driven Decision Making: Utilizing telemetry, metrics, and analytics to inform technical decisions, diagnose issues, and measure the impact of changes.

Collaboration Style:

• Cross-Functional Integration: Engineers are expected to work closely with product managers, designers, and DevOps to ensure seamless integration of features and operational best practices.

• Process Review & Feedback: An open culture for providing and receiving constructive feedback on code, designs, and processes during code reviews and team discussions.

• Knowledge Sharing: Encouraging the sharing of technical knowledge through documentation, internal presentations, and pair programming sessions to elevate the team's collective expertise.

📝 Enhancement Note: HP, as a large corporation, likely fosters a culture that balances innovation with established processes. Expect a professional environment where collaboration and adherence to quality standards are highly valued.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Development Speed with Stability: The inherent challenge of delivering new features quickly while maintaining the high availability and performance required by an observability-focused role.

• Complexity of Distributed Systems: Working with microservices and distributed architectures can introduce complexities in debugging, deployment, and monitoring.

• Keeping Pace with Technology: The rapid evolution of technologies in backend development, frontend frameworks, and observability tools requires continuous learning.

• Integrating AI Features: Successfully integrating AI/ML functionalities requires understanding data pipelines, model deployment, and performance monitoring in a production environment.

Learning & Development Opportunities:

• Specialized Training: Access to internal and external training programs for Python, Go, React, cloud technologies, and advanced observability techniques.

• Industry Conferences: Opportunities to attend relevant tech conferences to stay abreast of the latest trends and network with peers.

• Mentorship: Benefit from mentorship by senior engineers and architects within HP, guiding career progression and technical skill development.

• Cross-Functional Exposure: Gain exposure to different aspects of the software development lifecycle and business operations through collaboration with various teams.

📝 Enhancement Note: This role offers exposure to cutting-edge technologies and complex system challenges within a well-resourced environment. The opportunity to work with both development and operational aspects of software provides a well-rounded growth path.

💡 Interview Preparation

Strategy Questions:

• Technical Strategy: "Describe how you would design a scalable backend service in Go for real-time data ingestion, considering fault tolerance and performance." or "How would you approach building a dashboard in React to visualize complex system metrics collected by Prometheus?"

  • Preparation: Be ready to draw diagrams, discuss trade-offs (e.g., consistency vs. availability), and justify technology choices. For observability, articulate your thought process for selecting key metrics and designing alert rules.

• Collaboration & Stakeholder Management: "Tell me about a time you had to collaborate with a non-technical team (e.g., product, design) on a feature. How did you ensure alignment and successful delivery?"

  • Preparation: Use the STAR method (Situation, Task, Action, Result) to structure your answers. Focus on communication clarity, empathy, and achieving shared objectives.

• Problem-Solving: "Describe a challenging bug you encountered in a production system. What was your process for diagnosing and resolving it, and what did you learn?"

  • Preparation: Highlight your systematic approach to debugging, your use of logs and monitoring tools, and any preventative measures you implemented afterward.

Company & Culture Questions:

• "What interests you about HP and this specific role?"

  • Preparation: Research HP's recent product launches, company mission, and values. Connect your skills and interests to their strategic goals, particularly in areas like cloud services, AI, or specific product lines.

• "How do you stay current with new technologies in software engineering and observability?"

  • Preparation: Be ready to mention specific blogs, podcasts, conferences, or online courses you follow.

Portfolio Presentation Strategy:

• Concise Storytelling: For each project, present a brief overview of the problem, your role, the solution, and the measurable impact.

• Technical Depth: Be prepared to answer detailed questions about your code, architectural decisions, and specific technology choices.

• Focus on "Why": Explain why you made certain decisions, demonstrating your understanding of trade-offs and best practices. For observability, explain why specific metrics were chosen.

📝 Enhancement Note: Candidates should prepare to articulate their understanding of observability principles and demonstrate practical experience with tools like Prometheus. Being able to connect their technical contributions to business outcomes and customer value is crucial.

📌 Application Steps

To apply for this Full-Stack Software Engineer position:

• Submit your application through the HP careers portal via the provided link.

• Resume Optimization: Tailor your resume to highlight specific experience with Python, Go, React, MongoDB, and Prometheus. Quantify achievements wherever possible (e.g., "Improved API response time by 20%," "Reduced critical alerts by 15% through proactive monitoring").

• Portfolio Preparation: Ensure your portfolio (e.g., GitHub profile, personal website) is up-to-date and showcases relevant projects. Prepare a brief narrative for each project that emphasizes your contributions and the outcomes.

• Interview Practice: Rehearse answers to common technical and behavioral interview questions, focusing on scenarios related to backend development, UI implementation, and observability. Practice explaining complex technical concepts clearly.

• Company Research: Familiarize yourself with HP's product offerings, recent news, and company culture. Understand how your role contributes to HP's broader mission and technological advancements.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.