Software Architect – Telco Protocols, Data Processing
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Job Description
Software Architect defining telecom protocol-decoding and data-processing architecture at Infovista. Enabling AI-driven network intelligence across 5G, IoT, and fixed networks.
Responsibilities:
- 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
- Evolve architectural approaches for standardized diagnostic and measurement data from mobile core and access network 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
- Define data models, dimensions, and contextual information to transform raw measurements into curated datasets
- Establish rules for data enrichment and correlation
Requirements:
- 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
- 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
- Preferred: Knowledge of AI/ML data preparation and feature engineering
- Preferred: Understanding of data lineage, governance, and data quality frameworks
- Preferred: Familiarity with cloud-native and distributed system architectures
- Preferred: Knowledge of statistical analysis and performance modeling techniques
Benefits:
- Flexible workplaces - adaptable work schedules, workspaces and locations
- Inclusive culture
- Sustainability - environmental, social & governance programs (ESG Group)
- Innovative environment - shape the future of next gen networks
- Competitive compensation & benefits plans
- Career development plans
- Mandatory IT security training and ongoing updates to stay ahead of cyber threats
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