Software Architect – Telco Protocols and Data Processing
At Infovista · Portugal; Portugal, Portugal; Spain; Spain, Spain; UK; Guildford, United Kingdom
- Engineering
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- Posted
- 28 August 2026
- First seen by us
- 15 October 2026
- Last checked
- 7 hours ago
Job description
From Infovista’s job post, as they wrote it.
The Software Architect provides technical leadership within their domain by promoting architectural consistency, reducing technical debt, and supporting the long-term evolution of the product. The role combines software engineering expertise with telecommunication domain understanding to help engineering teams contribute effectively to maintenance, development, and refactoring of a product or platform. Working closely with Product Management and Engineering, the Software Architect translates customer needs and product feature requests into technical designs and well-defined work packages.
Read the full description
The role in the domain Telco Protocols and Data Processing is responsible for defining the architecture and technical roadmap of Infovista's protocol decoding, data correlation, and enrichment platforms. The role ensures that raw network measurements and performance data are transformed into trusted, structured, and actionable information that powers analytics, automation, and AI-driven insights.
The architect establishes the technical direction for decoder frameworks, data quality, traceability, and processing platforms that enable consistent interpretation of mobile network performance across technologies, devices, and products.
The role is part of a team of other technical experts that together evolve the technical direction of the Infovista VistaView products, ensuring solutions are scalable, secure, maintainable, and aligned with the company's technology strategy.
Responsibilities
Architecture Leadership
* Define the strategic architecture and technical roadmap for protocol decoding, data correlation, and enrichment platforms.
* Establish architectural principles, standards, and best practices across related products.
* Drive technology selection and major design decisions, balancing scalability, maintainability, performance, and cost.
* Collaborate with product management, engineering, and domain experts to align technical direction with business objectives.
* Mentor development teams and provide technical leadership on complex architectural challenges.
* Drive alignment of architecture decisions across products, teams, and technology domains to maximize platform consistency and reuse.
Mobile Core Network Protocol Architecture
* Evolve architectural approaches for supporting standardized diagnostic and measurement data from protocols like Diameter, GTPv1/v2, 5G Service-Based Interfaces (SBI), IMS/VoLTE/VoNR signaling, CUPS, access network interfaces, and future 3GPP-defined protocols.
* Ensure decoded measurement data is accurately translated into common data models used across products and analytics platforms.
* Maintain backward compatibility, scalability, and long-term maintainability of decoder solutions.
Data Refinement
* Define the data models, dimensions, and contextual information required to transform raw measurements into curated datasets.
* Establish rules for data enrichment and correlation.
Qualifications & Experience
Required
Mobile Core Network Expertise
* Strong understanding of mobile telecommunications.
* Strong understanding of 4G and 5G Core network architectures.
* Expertise in signaling and transport protocols including Diameter, GTP, HTTP/2-based SBI interfaces, and related 3GPP standards.
* Experience with IMS, VoLTE, and VoNR ecosystems.
* Understanding of network slicing, CUPS, and cloud-native core architectures.
Software Architecture Expertise
* Strong software engineering background, including distributed and data-intensive systems.
* Deep understanding of relevant 3GPP standards and their evolution across 4G and 5G networks.
* C++ experience
Preferred
* Experience with large-scale data processing and analytics platforms.
* Knowledge of AI/ML data preparation and feature engineering.
* Understanding of data lineage, governance, and data quality frameworks.
* Familiarity with cloud-native and distributed system architectures.
* Knowledge of statistical analysis and performance modeling techniques.
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