Full-Stack Engineer
Software Development – Hybrid
About Us
We are on a mission to make IoT connectivity simple, flexible, and scalable. Our platform allows enterprises to connect, manage, and scale their IoT deployments—from the first device to millions, providing a foundation that transforms how businesses operate, innovate, and create value from connected assets.
The Role
We are seeking a creative and driven Full-Stack Software Engineer to join our core Engineering team. This role provides the opportunity to work across the entire technology stack.
You will have the flexibility to:
- Build our customer-facing platform with intuitive, responsive user interfaces for managing IoT devices, monitoring data usage, and diagnosing issues.
- Work on backend services and APIs that communicate with global network partners and core telecommunications infrastructure.
- Maintain automation workflows that respond to network events and customer-defined rules to optimise performance.
- Contribute to predictive analytics systems to detect connectivity issues before they occur and provide actionable insights.
This role is ideal for engineers who want to understand how a global connectivity network functions—from the browser all the way down to the network packet.
What You’ll Do
Front-End Development
- Collaborate with product managers and a diverse team to build, test, and deploy new features.
- Develop dashboards, data visualisations, and workflows for device management.
- Write clean, maintainable code using modern frameworks (e.g., JavaScript, React, or Svelte).
Back-End Development
- Design, build, and maintain RESTful APIs and microservices.
- Implement business logic for device provisioning, data routing, and billing integration.
- Interface with core network elements, databases (SQL, Redis), and messaging queues (e.g., Kafka, NATS).
Automation Engine
- Build and maintain automation workflows triggered by network events or device behavior.
- Integrate diverse data sources into the rules engine for customer-defined automation logic.
Predictive Analytics
- Work with data scientists to implement predictive models and algorithms.
- Develop systems that analyse large datasets to automatically detect anomalies and provide insights.
Full-Stack Responsibilities
- Write code that connects network data to the front-end interface.
- Develop unit and integration tests for code quality and system reliability.
- Collaborate across teams on projects and process improvements.
- Troubleshoot and debug issues across the full stack, from UI elements to database queries and API responses.
Qualifications
Must-Haves
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience/bootcamp certification).
- Experience with modern front-end frameworks (e.g., JavaScript, React, Svelte).
- Experience with back-end languages (e.g., JavaScript, Python, Go, Kotlin).
- Familiarity with database concepts (SQL & NoSQL).
- Knowledge of Git/version control workflows and platforms (e.g., GitHub, GitLab).
- Strong problem-solving skills and curiosity to understand complex systems.
- Willingness to experiment, try new approaches, and learn from failures.
Nice-to-Haves
- Interest in IoT, M2M, or telecommunications.
- Interest in data analysis, predictive analytics, or machine learning.
- Familiarity with containerisation (Docker, Kubernetes).
- Understanding of API design principles.
Why Join Us?
We provide industry-leading connectivity solutions and work with innovative technologies. Our team is collaborative, supportive, and focused on mutual growth. We embrace change and lead in the evolution of IoT connectivity, fostering clarity, trust, and accountability.
Benefits
- Flexible hybrid working model
- 25 days holiday
- 7% employer pension contribution
- Comprehensive health and dental plans
- Health assessment
- Worldwide travel insurance
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant.
If your interested or wish to learn more please contact Jack at jharding@weareninetwenty.com