Aduna is a landmark venture between some of the world's leading telecom operators and Ericsson, dedicated to enabling developers worldwide to accelerate innovation by leveraging networks to their full potential via common network Application Programming Interfaces (APIs). Its venture partners include AT&T, Bharti Airtel, Deutsche Telekom, KDDI, Orange, Reliance Jio, Singtel, Telefonica, Telstra, T-Mobile, Verizon and Vodafone. Aduna’s developer partner platforms include Google Cloud, Infobip, Sinch, and Vonage. By combining network APIs from multiple operators globally under a unified platform based on the CAMARA open-source project, driven by the GSMA and the Linux Foundation, Aduna provides a standardized platform to foster collaboration, enhance user experiences, and drive industry growth.
Hybrid · Montréal
Implement and operationalize security solutions across the platform and integration estate, focusing on engineered controls for AI and cloud infrastructure. Lead cross-functional technical efforts to address security risks and translate governance policies into automated technical checks.
Hybrid · Montréal
Design, build, and operate production AI systems and LLM-based services on a Kubernetes platform. This includes developing an MCP server for network APIs and creating internal AI tooling for engineering teams.
Hybrid · Montréal
Lead the technical architecture and development of API aggregation systems connecting Aduna to CSP Service Exposure APIs. Collaborate with cross-functional teams to optimize request flows, ensure system resilience, and mentor junior engineers.
Hybrid · Montréal
You will be responsible for implementing security solutions across the platform and operationalizing governance standards into engineered controls. This includes leading cross-team technical efforts to mitigate risks, particularly those related to AI and LLM integrations.
Hybrid · Montréal
You will profile and optimize backend services to ensure high performance and low latency in a multi-CSP production environment. This involves designing load-generation infrastructure, managing error budgets, and shipping architectural fixes for performance bottlenecks.
Hybrid · Montréal
You will design, build, and operate AI systems in production, including LLM-based services and agentic workflows. Additionally, you will develop internal AI tooling and manage data pipelines to support the platform's analytics products.
Hybrid · Montréal
You will lead the architectural design and technical delivery of API aggregation systems while collaborating with cross-functional teams. Additionally, you will mentor junior engineers and drive operational excellence through rigorous testing, observability, and security practices.
Hybrid · Montréal
You will design and own the lakehouse architecture while building and operating core batch and streaming data pipelines. Additionally, you will establish data standards, implement governance, and ensure data trustworthiness for BI and ML teams.
Hybrid · Montréal
You will integrate and deliver Aduna's platform with global telecom operators and hyperscalers while ensuring system reliability and security. Additionally, you will troubleshoot API issues, manage cloud-native deployments, and create technical documentation to support operations.
Hybrid · Montréal
Integrate Aduna's platform with global telecom operators and hyperscalers while ensuring system reliability and high availability. The role involves troubleshooting API issues, managing cloud-native services, and maintaining operational documentation.
Hybrid · Montréal
The role focuses on profiling and optimizing backend services to reduce tail latency and ensure predictable performance across multi-CSP platforms. Responsibilities include building load-generation infrastructure, managing error budgets, and implementing performance fixes in production code.
Hybrid · Montréal
Design and build a lakehouse architecture from the ground up, including medallion layers and storage layout. Develop and operate core batch and streaming pipelines for API usage and operator data while implementing data governance and quality standards.
