Product Engineer

Principal Engineer, Security

Key Responsibilities

Product Development & MVP Engineering

• Design, develop, and deliver MVPs from concept to working product.
• Translate business requirements and customer use cases into technical solutions.
• Own end-to-end engineering delivery including:
• Solution design
• Coding
• API development
• Integration
• Testing
• Deployment
• Troubleshooting
• Build scalable software components that can evolve into production products.
• Rapidly prototype new ideas and validate technical feasibility.

API & Backend Engineering

• Develop secure and scalable API-driven applications.
• Build backend services using technologies such as:
• Java
• Python
• Go
• Node.js
• Develop:
• REST APIs
• OpenAPI specifications
• Microservices
• Event-driven integrations
• Integrate enterprise platforms, cloud services, and external partner APIs.
• Build reusable components and frameworks.

Agentic AI & AI Product Engineering

• Develop MVPs and prototypes using Generative AI and Agentic AI technologies.
• Build AI-enabled applications using:
• LLMs
• SLMs
• AI agents
• AI workflows
• Tool calling
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Develop integrations where AI agents can securely interact with APIs, enterprise systems, and digital services.
• Experiment with AI frameworks and convert successful prototypes into usable products.

Telecom API & Digital Platform Solutions

• Develop solutions leveraging telecom and enterprise capabilities.
• Build integrations for digital services including:
• Identity verification through Network APIs such as Number verify, SIM Swap
• Authentication
• Device intelligence
• Digital trust services based on eSIM/SIM
• Enterprise automation
• Support development using telecom API ecosystems including GSMA Open Gateway, CAMARA, and TM Forum APIs.

Cloud-Native Engineering & Deployment

• Build and deploy cloud-native applications.
• Work with:
• Kubernetes
• Containers
• Microservices
• Cloud platforms
• CI/CD pipelines
• Collaborate with DevSecOps teams to deploy and operate solutions.
• Implement monitoring, logging, and operational practices.

Technology Experimentation

• Build prototypes and evaluate emerging technologies.
• Participate in technical evaluations of:
• AI platforms
• Digital identity solutions
• Security technologies
• Secrets management concepts
• Cryptography ecosystem
• Quantum-safe security concepts
• Develop technical understanding and identify opportunities for future product adoption.

Partner Integration & Technical Collaboration

• Work with technology partners and vendors on integrations.
• Participate in technical workshops and solution demonstrations.
• Support partner onboarding and technical validation.
• Provide engineering feedback during product development.

Qualifications

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
• 8+ years of hands-on software engineering experience.
• Strong programming skills in Python, Java, Go, or equivalent.
• Proven experience building and delivering software products or MVPs.
• Strong experience in:
• Backend development
• API development
• Microservices
• Cloud-native applications
• Enterprise integrations
• Experience taking solutions from idea prototype production.
• Strong debugging and problem-solving skills.
• Ability to work independently and deliver working software.

Preferred Qualifications

• Experience building AI-powered applications.
• Exposure to:
• Agentic AI frameworks
• LLM applications
• MCP
• RAG
• AI automation workflows
• Experience with telecom platforms, APIs, or enterprise systems.
• Experience with API management platforms.
• Exposure to digital identity and cybersecurity concepts.
• Interest in emerging technologies such as quantum-safe security and cryptographic technologies.