Director of Engineering VistaView & Enterprise CX Intelligence

The Role & Team:

The Director of Engineering is accountable for successful delivery, technical integrity, and people leadership of the VistaView and Enterprise CX Intelligence solutions. The role ensures that approved product initiatives are delivered on time, within agreed scope and quality standards, while safeguarding domain architectural coherence and long-term sustainability.

The purpose of the role is to translate product strategy and roadmap commitments into predictable engineering outcomes. This requires balancing short-term delivery objectives with long-term system health, ensuring that technical debt is actively managed and that engineering practices support scalability, security, and maintainability. The Engineering Manager is responsible for creating the conditions under which the team can consistently perform at a high level, combining structured execution, balancing continuous improvement with the need for transforming ways of working to capture benefits from new disruptive technologies such as AI.

Success in this role is measured by delivery predictability, product quality, operational stability, and the development of a capable and engaged engineering team. The Engineering Manager serves as the primary owner of outcomes within the assigned domain and acts as the escalation point for material risks related to scope, capacity, quality, or architectural sustainability. The engineering organization utilizes several shared components and collaboration with other engineering managers on operational excellence and shared platforms is essential.

Key Responsibilities:

Delivery & Execution

· Own end-to-end delivery within scope

· Translate roadmap into actionable plans

· Manage capacity, risks, and technical debt

· Ensure predictable and timely releases

Technical Oversight

· Safeguard architectural integrity

· Enforce engineering standards and secure coding practices

· Participate in key design decisions

Quality & Stability

· Ensure adequate test automation and release readiness

· Monitor production health and drive corrective actions

People Leadership

· Lead, coach, and develop team leaders and engineering specialists

· Manage performance, succession planning and recruitment

· Build a high-performing, collaborative and accountable team

Collaboration

· Drive success together with sales, professional services, customer support and product management

· Communicate progress, risks, and dependencies transparently

Leadership

• Outcome-oriented and accountable

• Strong decision-making and prioritization skills

• Clear communicator across technical and business stakeholders

• Balance daily delivery, continuous improvement and transformative changes

Education & Professional Background

• Degree in Computer Science, Engineering, or equivalent experience

• 5–10+ years software engineering experience

• 2–5+ years people leadership

• Solid understanding of architecture, cloud environments, and modern SDLC practices

Technical Skills:

Architecture & Technology

• Strong understanding of distributed systems, scalable architectures and microservices design

• Proficiency in cloud-native platforms, including Kubernetes (RKE, AKS, EKS), containerization (Docker), Helm charts and CI/CD

• Knowledge of event-driven architectures, messaging systems and real‑time processing patterns

• Expertise in software design principles, refactoring, modularization, performance tuning and technical debt management

• Broad understanding of modern data platforms and storage technologies, including relational, non‑relational and time‑series databases

• Familiarity with data ingestion concepts, data processing workflows, and high‑volume or real‑time data pipelines

• Familiarity with edge or probe‑based data collection approaches, including passive network monitoring and extraction of signalling and user‑plane information

• Understanding of real‑time packet processing concepts, such as high‑throughput ingestion, low‑latency decoding and protocol‑aware analysis

• Familiarity with the use of AI, GenAI and agentic systems to accelerate root cause analysis, enhance diagnostic accuracy and automate assurance workflows across complex network environments.

• Hands‑on background in one or more of the following: C++, Java, Python, C#

Domain knowledge

· Experience leading R&D teams with a strong focus on Network Service Assurance products.

· Broad understanding of mobile and fixed network architectures, including access, transport, core, and service layers.

· Knowledge of key telecom protocols and associated message flows (SIP, Diameter, GTP, HTTP/2‑based 5G SBA traffic, SS7, RTP, IP‑layer signalling, etc.)

· Understanding of how voice, data, messaging and digital services are monitored and assured across both mobile (2G/3G/4G/5G/IMS) and fixed broadband networks. Ability to reason about KPIs, QoE indicators, customer impact, and the full lifecycle from network events to service‑level insights.

· Familiarity with performance management principles, metrics computation, proactive degradation detection and root‑cause analysis techniques used in telecom operations

· General awareness of probes, telemetry feeds, network counters, logs, traces and mediation pipelines involved in collecting, normalizing and correlating large‑scale network data

· Knowledge of RAN trace analysis, including interpretation of radio layer events and correlation with core network signalling data to support end‑to‑end service assurance.