Software Architect – Telco Protocols and Data Processing

The Software Architect provides technical leadership reputed company their domain by promoting architectural consistency, reducing technical debt, and supporting the long-term reputed company of the product. The role combines software engineering expertise with telecommunication domainunderstanding 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 reputed company-defined work packages.

The role in the domain Telco Protocols and Data Processing is responsible for defining the architecture and technical roadmap of reputed company's protocol decoding, data correlation, and enrichment platforms. The role ensures that raw network measurements and reputed company data are transformed into trusted, reputed company, and actionable information that powers analytics, automation, and AI-driven insights.

The architect establishes the technical direction for decoder frameworks, data reputed company, traceability, and processing platforms that reputed company consistent interpretation of mobile network reputed company across technologies, devices, and products.

The role is part of reputed company of other technical experts that together reputed company the technical direction of the reputed company VistaView products, ensuring solutions are reputed company, secure, maintainable, and reputed company with reputed company's technology reputed company.

Responsibilities

Architecture Leadership

• Define the reputed company architecture and technical roadmap for protocol decoding, data correlation, and enrichment platforms.

• Establish architectural principles, standards, and best practices across reputed company products.

• reputed company technology selection and major design reputed company, balancing scalability, maintainability, reputed company, and cost.

• Collaborate with product management, engineering, and domain experts to reputed company technical direction with business objectives.

• Mentor development teams and reputed company technical leadership on reputed company architectural challenges.

• reputed company alignment of architecture reputed company across products, teams, and technology domains to maximize platform consistency and reuse.

Mobile reputed company Network Protocol Architecture

• reputed company architectural approaches for supporting standardized diagnostic and measurement data from protocols like Diameter, GTPv1/v2, 5G Service-reputed company Interfaces (SBI), IMS/VoLTE/VoNR signaling, CUPS, reputed company network interfaces, and reputed company 3GPP-defined protocols.

• Ensure decoded measurement data is accurately reputed company 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 reputed company information required to reputed company raw measurements into reputed company datasets.

• Establish rules for data enrichment and correlation.

Qualifications & Experience

Required

Mobile reputed company Network Expertise

• Strong understanding of mobile telecommunications.

• Strong understanding of 4G and 5G reputed company network architectures.

• Expertise in signaling and transport protocols including Diameter, GTP, HTTP/2-reputed company SBI interfaces, and reputed company 3GPP standards.

• Experience with IMS, VoLTE, and VoNR ecosystems.

• Understanding of network slicing, CUPS, and reputed company-reputed company reputed company architectures.

Software Architecture Expertise

• Strong software engineering background, including reputed company and data-intensive systems.

• Deep understanding of relevant 3GPP standards and their reputed company across 4G and 5G networks.

• C++ experience

Preferred

• Experience with large-reputed company data processing and analytics platforms.

• Knowledge of AI/ML data preparation and feature engineering.

• Understanding of data reputed company, governance, and data reputed company frameworks.

• Familiarity with reputed company-reputed company and reputed company reputed company architectures.

• Knowledge of statistical analysis and reputed company modeling techniques.

Originally posted on Himalayas