
51 - 200 employees
Founded 2017
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Future Connections is a technology and consultancy company that helps network operators and service providers bridge legacy and modern telecom systems through convergence, integration, migration, automation and managed services. They develop network-focused software products (NIx Platform, NIx RAN, NIx PM, NIx CEM, DIx) and provide cloud, data, RAN consulting, professional services, managed telco services, and training (Future Tech Academy). Their offerings emphasize AI/ML, GenAI/GenAIOps, big data analytics, autonomous network operations, and secure digital identification for telco environments.
🕒 September 9
AWS
Azure
Cloud
Distributed Systems
ETL
Google Cloud Platform
Grafana
Kafka
Kubernetes
Microservices
NoSQL
Prometheus
Pulsar
Python
RabbitMQ
SQL
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51 - 200 employees
Founded 2017
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Future Connections is a technology and consultancy company that helps network operators and service providers bridge legacy and modern telecom systems through convergence, integration, migration, automation and managed services. They develop network-focused software products (NIx Platform, NIx RAN, NIx PM, NIx CEM, DIx) and provide cloud, data, RAN consulting, professional services, managed telco services, and training (Future Tech Academy). Their offerings emphasize AI/ML, GenAI/GenAIOps, big data analytics, autonomous network operations, and secure digital identification for telco environments.
• Translate functional requirements into robust, scalable technical solutions • Design and deploy infrastructure using Kubernetes and cloud-native tools • Write high-quality Python software following design, testing, and maintainability best practices • Build and maintain ETL pipelines for large-scale datasets • Manage relational and non-relational databases • Automate deployments and integrations • Contribute to the evolution of DevOps practices • Collaborate with technical and non-technical stakeholders • Provide clarity, structure, and technical insight
• 6+ years of relevant professional experience in software development • Experience designing event-driven distributed systems using Kafka, Pulsar, or RabbitMQ • Experience with asynchronous communication patterns and scalable data ingestion pipelines • Experience designing scalable distributed applications with microservices, high availability, fault tolerance, resiliency, and performance optimisation • Experience designing large-scale batch and streaming data pipelines, analytical data models, and modern storage formats such as Parquet • Experience implementing unit, integration, end-to-end, and API contract testing • Experience designing observable systems using metrics, logging, distributed tracing, Prometheus, and Grafana • Experience with cloud platforms such as AWS, GCP, or Azure • Strong programming skills in Python • Experience working with Kubernetes and containerised environments • Familiarity with CI/CD pipelines and modern development workflows • Experience designing or maintaining ETL processes, especially with large volumes of data • Solid understanding of SQL and/or NoSQL databases, data modelling, and performance considerations • Understanding of software architecture principles and sound technical decision-making • Experience producing architecture documentation, leading technical discussions, mentoring engineers, and defining engineering standards and best practices • Familiarity with mobile network KPIs, alarms, OSS concepts, and 4G/5G network data structures
• Competitive salary • Health insurance • Flexible Compensation Plan as an enterprise benefit • Annual training budget • Time flexibility in entry and exit • Reduced working day on Fridays and during July and August • Flexible working model with options from remote to hybrid or office-based arrangements • Opportunities to work on cutting-edge technology projects in national and international environments • Professional growth opportunities • Collaborative work environment
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