Jobs at Hugo Technologies

Role Overview

• The Fullstack Engineer will join the Product & Engineering team to design and build internal and client-facing platforms. This role requires strong product ownership, rapid execution, and the ability to deliver features end-to-end.
• Engineers at Hugo are expected to be AI-native builders who understand business context and actively shape product direction.

What You’ll Be Doing

• Build full-stack applications supporting CX and operations
• Own features from concept to deployment
• Develop backend services using Node.js and Express
• Build modern frontend interfaces using React
• Design APIs and system integrations
• Collaborate with product on solution design
• Integrate with CRM, helpdesk, and workforce platforms
• Implement analytics dashboards and reporting tools
• Optimize application performance and scalability
• Rapidly prototype new ideas and internal tools.

Key Responsibilities

• Design scalable backend services
• Build reusable frontend components
• Develop integration middleware
• Implement authentication and authorization
• Support real-time features where required
• Write maintainable and testable code
• Participate in architecture discussions
• Support production releases.

Qualifications & Experience

• 4+ years fullstack development experience
• Strong Node.js and Express expertise
• Strong React experience
• Experience designing REST APIs
• Experience with SQL or NoSQL databases
• Understanding of scalable architecture
• Experience integrating third-party APIs.

AI-Native Expectations:

• Comfort using AI coding assistants and copilots
• Experience building AI-powered features is a plus
• Interest in LLM-based workflows and automation
• Ability to rapidly prototype using AI tooling.

Nice to Have:

• TypeScript experience
• Experience building internal tools
• Experience with real-time systems
• Cloud platform exposure
• Analytics dashboard experience.

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What You`ll Be Doing

• The Solutions Architect will design and prototype technical solutions that improve CX delivery, reduce cost, and enable new revenue streams at Hugo.
• This role is responsible for translating business and operational needs into scalable, reliable, and commercially viable technical systems.
• This person will act as a bridge between operations, product, engineering, and clients.

Key Responsibilities

• Design high-level system architectures for CX and AI-enabled solutions.
• Build rapid prototypes and proofs of concept to validate feasibility and business value.
• Lead technical solution design for new products and client pilots.
• Define system integrations across CRM, help desk, chat, workforce, and analytics platforms.
• Work with internal and external engineering teams to guide implementation.
• Make build vs buy vs partner recommendations based on cost, speed, and scalability.
• Produce clear technical documentation, diagrams, and solution specs.
• Support pre-sales and client conversations with technical input where needed.
• Ensure solutions are secure, scalable, and cost-aware.

Qualifications & Experience

• 5 - 10 years of experience in engineering, solutions architecture, or technical product roles.
• Hands-on experience with at least one backend and one frontend language.
• Strong understanding of APIs, system integrations, and data architecture.
• Practical experience with SQL/NoSQL databases and performance considerations.
• Ability to explain technical concepts clearly to non-technical stakeholders.
• Strong ownership mindset and bias toward execution.

Nice to Have:

• Experience with LLMs, AI agents, or automation tools.
• Experience in BPO, CX platforms, or enterprise systems.
• Experience building customer-facing analytics or dashboards.

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Role Overview

• The QA Engineer will join the Product & Engineering team to ensure high-quality delivery of Hugo’s internal platforms and CX solutions.
• This role will establish scalable testing practices and support fast release cycles.
• This individual must be AI-native, automation-focused, and comfortable working in a fast-moving product environment.

What You’ll Be Doing

• Define test strategy for product features
• Build automated testing frameworks
• Validate integrations across systems
• Support rapid release cycles
• Ensure end-to-end feature quality
• Partner with engineers on quality standards
• Implement CI-based test automation
• Perform exploratory testing
• Drive quality metrics and reporting.

Key Responsibilities:

• Create and maintain automated test suites
• Test APIs and frontend applications
• Write test plans and test cases
• Perform regression testing
• Validate data and integration flows
• Track and manage defects
• Support UAT with stakeholders
• Improve release confidence.

Qualifications & Experience

• 3+ years QA engineering experience
• Experience testing web applications
• Experience testing APIs
• Automation experience (Cypress, Playwright, Selenium)
• Understanding of Agile workflows
• Experience with bug tracking tools.

AI-Native Expectations:

• Use AI tools for test generation
• Experience with AI-assisted test automation
• Interest in intelligent testing approaches
• Ability to automate repetitive QA workflows.

Nice to Have:

• Performance testing experience
• Data validation testing
• Experience with CI/CD testing pipelines
• BPO or operational tooling exposure:

Shared Expectations Across All Roles:

• Fast-paced execution and ownership mindset
• Strong collaboration with Product team and Process owners
• Interest in business and operational context
• End-to-end feature ownership
• AI-native engineering workflows
• Bias toward automation and scalability.

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Role Overview

• The DevOps Engineer will join the Product & Engineering team to design, secure, and scale Hugo’s infrastructure powering internal platforms, CX solutions, and AI-enabled tools.
• This role is both hands-on and strategic, requiring strong ownership, security mindset, and the ability to optimize systems across multiple teams.
• This individual will act as a thought leader in infrastructure, automation, and platform reliability while enabling rapid product delivery.

What You’ll Be Doing

• Own cloud infrastructure across multiple engineering teams
• Design secure, scalable, and cost-efficient platform architecture
• Implement and maintain CI/CD pipelines for rapid deployments
• Manage access control and identity across engineering systems
• Secure infrastructure using best-practice security frameworks
• Optimize existing systems for performance and cost efficiency
• Support AI workloads and data pipeline infrastructure
• Implement observability, logging, and alerting standards
• Automate infrastructure provisioning using IaC
• Partner with engineering to enable end-to-end feature delivery
• Drive reliability and uptime across all production systems
• Provide guidance on build vs buy infrastructure decisions.

Key Responsibilities

• Design and maintain multi-environment deployment architecture
• Manage Kubernetes/Docker-based workloads
• Implement RBAC and secrets management
• Lead security hardening initiatives
• Optimize cloud spend and resource utilization
• Support multi-team access and environment isolation
• Implement disaster recovery and backup strategies
• Improve developer productivity through tooling
• Define infrastructure standards and documentation.

Qualifications & Experience

• 5+ years in DevOps, SRE, or platform engineering
• Experience with AWS, Azure, or GCP
• Strong CI/CD experience (GitHub Actions, GitLab CI, Jenkins)
• Experience with Docker and Kubernetes
• Knowledge of networking and cloud security
• Experience managing production-scale systems
• Scripting experience (Python, Bash, Node.js)
• Experience with monitoring and observability tools.

AI-Native Expectations:

• Comfort using AI-assisted development workflows
• Experience deploying ML/AI workloads is a plus
• Ability to evaluate AI tooling for DevOps productivity
• Interest in automation-first engineering practices.

Nice to Have:

• Experience supporting BPO/CX platforms
• Experience with Terraform or Pulumi
• SOC2 / ISO / compliance exposure
• Experience with data infrastructure.

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Role Overview

• The QA Engineer will join the Product & Engineering team to ensure high-quality delivery of Hugo’s internal platforms and CX solutions.
• This role will establish scalable testing practices and support fast release cycles.
• This individual must be AI-native, automation-focused, and comfortable working in a fast-moving product environment.

What You’ll Be Doing

• Define test strategy for product features
• Build automated testing frameworks
• Validate integrations across systems
• Support rapid release cycles
• Ensure end-to-end feature quality
• Partner with engineers on quality standards
• Implement CI-based test automation
• Perform exploratory testing
• Drive quality metrics and reporting.

Key Responsibilities:

• Create and maintain automated test suites
• Test APIs and frontend applications
• Write test plans and test cases
• Perform regression testing
• Validate data and integration flows
• Track and manage defects
• Support UAT with stakeholders
• Improve release confidence.

Qualifications & Experience

• 3+ years QA engineering experience
• Experience testing web applications
• Experience testing APIs
• Automation experience (Cypress, Playwright, Selenium)
• Understanding of Agile workflows
• Experience with bug tracking tools.

AI-Native Expectations:

• Use AI tools for test generation
• Experience with AI-assisted test automation
• Interest in intelligent testing approaches
• Ability to automate repetitive QA workflows.

Nice to Have:

• Performance testing experience
• Data validation testing
• Experience with CI/CD testing pipelines
• BPO or operational tooling exposure:

Shared Expectations Across All Roles:

• Fast-paced execution and ownership mindset
• Strong collaboration with Product team and Process owners
• Interest in business and operational context
• End-to-end feature ownership
• AI-native engineering workflows
• Bias toward automation and scalability.