Software Engineer, Network Intelligence Cloud at CUJO AI

📍 Job Overview

Job Title: Software Engineer, Network Intelligence Cloud
Company: CUJO AI
Location: Norway (Hybrid)
Job Type: Full-time
Category: Backend Developer, DevOps Engineer
Date Posted: 2025-07-30
Experience Level: Mid-Level (2-5 years)
Remote Status: Hybrid

🚀 Role Summary

Develop and maintain backend systems for managing CUJO AI Agent fleets' network and application quality analysis.
Collaborate with cross-functional teams to design, implement, and deploy features using best practices.
Build and improve CI/CD pipelines for safe and reliable deployments.
Implement observability into systems by collecting metrics and configuring service monitoring and alerting.
Contribute to company-wide practices for building secure, scalable, robust, and cost-efficient backend systems.

📝 Enhancement Note: This role requires a strong background in backend development, DevOps, and cloud infrastructure to succeed in a fast-paced, multinational environment.

💻 Primary Responsibilities

Collaboration: Work with cross-functional teams to analyze requirements, design solutions, and implement features.
Code Development: Write clean, efficient, and maintainable code using best practices.
Stay Updated: Keep up-to-date with industry trends and emerging technologies.
Ownership: Take ownership of the work delivered and adopt a "You build it, you run it" mentality.
CI/CD: Build and improve CI/CD pipelines to enable safe and reliable deployments.
Observability: Implement observability into systems by instrumenting code to collect metrics and configuring service monitoring and alerting.
Contribution: Contribute to company-wide practices in building secure, scalable, robust, and cost-efficient backend systems.

📝 Enhancement Note: Successful candidates will have experience working with large-scale systems, high data volumes, and business-critical production systems under heavy loads.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Software Engineering, or a related field.

Experience: Proven experience (2-5 years) in backend development, DevOps, or a similar role.

Required Skills:

Proficiency in programming languages such as Python, TypeScript, or Go.
Experience working with databases: Amazon RDS (Aurora PostgreSQL) and DynamoDB.
Experience working with AWS Stack.

Preferred Skills:

Experience building CI/CD pipelines (Jenkins, GitHub Actions, etc.).
Experience with tools such as Git and Docker.
Experience with Agile Development Methodologies.
Experience with IaaC tools (AWS CloudFormation, Terraform, etc.).
Experience building observability into systems, performance optimization, and advanced troubleshooting.
Passion for secure software development and engineering.
Experience operating large-scale systems with high data volumes.
Experience with serverless architecture and development.
Experience in debugging and troubleshooting business-critical production systems under heavy loads.
Understanding of auto-scaling and self-healing concepts and principles for building resiliency in distributed systems.
Experience working with multinational teams across different physical sites.

📝 Enhancement Note: Candidates with a strong focus on security, performance optimization, and troubleshooting will be highly valued in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials: Demonstrate your experience with backend development, DevOps, and cloud infrastructure through relevant projects.
Technical Documentation: Showcase your ability to document code, version control, deployment processes, and server configuration.
Performance Optimization: Highlight your experience with performance optimization, auto-scaling, and self-healing concepts.

📝 Enhancement Note: Prepare a portfolio that emphasizes your problem-solving skills, technical depth, and ability to work in a collaborative, multinational environment.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Norway is NOK 600,000 - 800,000 per year (€58,000 - €77,000), based on market research and the required experience level.

Benefits:

Flexible Work: Hybrid or fully remote options based on your location.
Team Gatherings: Annual company events and team activities.
Career Growth: Training bonuses for AWS certifications and other learning opportunities.
Performance Bonuses: Company-wide annual bonus program.
Referral Rewards: Earn up to €1,000 for referring new hires.

Working Hours: Full-time (40 hours/week) with flexible working hours and maintenance windows.

📝 Enhancement Note: The salary range provided is an estimate based on market research and may vary depending on the candidate's skills and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: CUJO AI operates in the artificial intelligence and cybersecurity sectors, focusing on network service providers and consumer internet connections.

Company Size: CUJO AI is a mid-sized company with a global presence, offering opportunities for growth and collaboration.

Founded: 2015

Team Structure:

The Network Intelligence Cloud team is responsible for designing, developing, and operating backend systems that manage CUJO AI Agent fleets' network and application quality analysis.
The team has built the IETF QoO Framework, which will see tens of millions of deployments in the next year.
The team works collaboratively with cross-functional teams to analyze requirements, design solutions, and implement features.

Development Methodology:

Agile/Scrum methodologies and sprint planning for web projects.
Code review, testing, and quality assurance practices.
Deployment strategies, CI/CD pipelines, and server management.

Company Website: CUJO AI

📝 Enhancement Note: CUJO AI values innovation, collaboration, and continuous improvement, making it an attractive choice for backend developers and DevOps engineers seeking a dynamic work environment.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level (2-5 years) backend developer or DevOps engineer role, focusing on designing, developing, and maintaining backend systems for managing CUJO AI Agent fleets' network and application quality analysis.

Reporting Structure: The Software Engineer will report to the Team Lead or Engineering Manager within the Network Intelligence Cloud team.

Technical Impact: This role will have a significant impact on the performance, scalability, and security of CUJO AI's backend systems, directly influencing the user experience and business outcomes.

Growth Opportunities:

Technical Growth: Develop expertise in backend development, DevOps, and cloud infrastructure, with opportunities to specialize in specific areas.
Leadership Potential: Demonstrate strong technical leadership, mentoring, and architecture decision-making skills to progress into senior roles.
Career Progression: Transition into more senior roles, such as Senior Software Engineer, Technical Lead, or Engineering Manager, as the company and team grow.

📝 Enhancement Note: Successful candidates in this role will have ample opportunities for career growth, technical specialization, and leadership development within CUJO AI's dynamic and expanding team.

🌐 Work Environment

Office Type: Hybrid work environment with offices in Norway and other global locations.

Office Location(s): CUJO AI Norway Hybrid

Workspace Context:

Collaborative workspace with multiple monitors and testing devices available.
Cross-functional team interaction and collaboration opportunities with designers, marketers, and other stakeholders.
Flexible working hours with deployment windows, maintenance, and project deadlines.

Work Schedule: Full-time (40 hours/week) with flexible working hours and maintenance windows.

📝 Enhancement Note: CUJO AI's hybrid work environment fosters collaboration and innovation, enabling employees to balance their work and personal lives effectively.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Demonstrate your programming language proficiency, database experience, and AWS Stack knowledge through coding challenges and problem-solving exercises.
System Design Discussion: Showcase your ability to design scalable, secure, and robust backend systems, considering auto-scaling, self-healing, and performance optimization concepts.
Team Fit Assessment: Collaborate with the team to solve problems, communicate effectively, and demonstrate your cultural fit within the organization.
Final Evaluation: Present your portfolio, discuss your technical impact, and address any remaining questions or concerns.

Portfolio Review Tips:

Highlight your experience with backend development, DevOps, and cloud infrastructure through relevant projects.
Showcase your ability to document code, version control, deployment processes, and server configuration.
Emphasize your problem-solving skills, performance optimization techniques, and experience working with large-scale systems and high data volumes.

Technical Challenge Preparation:

Brush up on your programming language skills, database knowledge, and AWS Stack experience.
Familiarize yourself with CI/CD pipelines, IaaC tools, and observability concepts.
Prepare for system design discussions by studying auto-scaling, self-healing, and performance optimization principles.

ATS Keywords: Python, TypeScript, Go, Amazon RDS, DynamoDB, AWS Stack, CI/CD, Git, Docker, Agile Development, IaaC, Observability, Performance Optimization, Troubleshooting, Serverless Architecture, Auto-scaling

📝 Enhancement Note: Prepare thoroughly for the technical assessment, system design discussion, and team fit assessment to increase your chances of success in the interview process.

🛠 Technology Stack & Web Infrastructure

Backend & Server Technologies:

Programming Languages: Python, TypeScript, Go
Databases: Amazon RDS (Aurora PostgreSQL), DynamoDB
Cloud Platform: AWS Stack

Development & DevOps Tools:

Version Control: Git
Containerization: Docker
CI/CD: Jenkins, GitHub Actions
IaaC: AWS CloudFormation, Terraform
Monitoring: AWS CloudWatch, Prometheus, Grafana

📝 Enhancement Note: Familiarize yourself with the technology stack and web infrastructure to ensure a smooth onboarding process and maximize your productivity in the role.

👥 Team Culture & Values

Web Development Values:

Innovation: CUJO AI encourages continuous learning and experimentation to drive innovation in the AI and cybersecurity sectors.
Collaboration: The company fosters a collaborative work environment, promoting cross-functional teamwork and knowledge sharing.
Quality: CUJO AI prioritizes building high-quality, secure, and robust backend systems that meet the needs of its users and customers.
Customer Focus: The company is committed to understanding and addressing the needs of its users, ensuring that its products and services deliver value and meet their expectations.

Collaboration Style:

Cross-functional Integration: The Network Intelligence Cloud team works collaboratively with other teams, including design, marketing, and business teams, to ensure that their work aligns with the company's overall goals and objectives.
Code Review Culture: The team values peer programming, code reviews, and pair programming to ensure code quality and knowledge sharing.
Knowledge Sharing: CUJO AI encourages its employees to share their knowledge and expertise with their colleagues, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: CUJO AI's collaborative and innovative culture provides an excellent environment for backend developers and DevOps engineers to grow professionally and contribute to the company's success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: Design and implement backend systems that can handle tens of millions of deployments and scale efficiently.
Performance Optimization: Develop and maintain backend systems that deliver high performance, low latency, and optimal resource utilization.
Security: Build secure backend systems that protect user data and comply with relevant regulations and standards.
Observability: Implement observability into systems to enable real-time monitoring, alerting, and troubleshooting.

Learning & Development Opportunities:

Technical Skill Development: Develop expertise in backend development, DevOps, and cloud infrastructure through hands-on experience, training, and certifications.
Conference Attendance: Attend industry conferences, workshops, and events to stay up-to-date with the latest trends and best practices in backend development and DevOps.
Technical Mentorship: Seek mentorship opportunities from senior team members to gain insights into best practices, architecture decisions, and career development paths.

📝 Enhancement Note: CUJO AI offers numerous challenges and growth opportunities for backend developers and DevOps engineers seeking to expand their skills, advance their careers, and make a significant impact on the company's success.

💡 Interview Preparation

Technical Questions:

Backend Development: Prepare for questions related to backend development, database management, and AWS Stack experience.
System Design: Brush up on your system design principles, auto-scaling, self-healing, and performance optimization concepts.
Problem-Solving: Practice problem-solving techniques, algorithmic thinking, and coding challenges to demonstrate your technical proficiency.

Company & Culture Questions:

Company Culture: Research CUJO AI's company culture, values, and mission to demonstrate your alignment with the organization's goals and objectives.
Team Dynamics: Prepare for questions about team dynamics, collaboration, and communication within a multinational, cross-functional team environment.
User Experience Impact: Discuss your understanding of the user experience and how your work will contribute to improving CUJO AI's products and services.

Portfolio Presentation Strategy:

Project Selection: Choose projects that showcase your backend development, DevOps, and cloud infrastructure experience, highlighting your problem-solving skills, performance optimization techniques, and experience working with large-scale systems and high data volumes.
Storytelling: Prepare a compelling narrative that connects your projects to CUJO AI's mission, values, and technical challenges.
Technical Deep Dive: Be prepared to dive deep into the technical details of your projects, explaining your design decisions, architecture trade-offs, and optimization techniques.

📝 Enhancement Note: Thoroughly prepare for the technical questions, company and culture questions, and portfolio presentation strategy to maximize your chances of success in the interview process.

📌 Application Steps

To apply for the Software Engineer, Network Intelligence Cloud position at CUJO AI:

Submit Your Application: Visit the CUJO AI careers page and follow the instructions to submit your application.
Prepare Your Portfolio: Highlight your experience with backend development, DevOps, and cloud infrastructure through relevant projects, emphasizing your problem-solving skills, performance optimization techniques, and experience working with large-scale systems and high data volumes.
Optimize Your Resume: Tailor your resume to the specific requirements of the role, emphasizing your relevant skills, experience, and achievements in backend development, DevOps, and cloud infrastructure.
Research the Company: Familiarize yourself with CUJO AI's company culture, values, and mission to demonstrate your alignment with the organization's goals and objectives.
Prepare for the Technical Interview: Brush up on your programming language skills, database knowledge, and AWS Stack experience. Familiarize yourself with CI/CD pipelines, IaaC tools, and observability concepts. Prepare for system design discussions, problem-solving exercises, and team fit assessments.

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

Software Engineer, Network Intelligence Cloud