Senior DDI Engineer

Responsibilities:

• Operate and support enterprise DNS, DHCP, and IPAM services (authoritative, recursive, caching; internal and external).
• Design and maintain resilient, multi-region DDI architectures across on-premises and cloud environments (AWS, Azure).
• Own incidents and problem management for DDI: triage, troubleshooting, root cause analysis, and prevention actions.
• Apply standards, governance, and change control for DDI services, ensuring a high change success rate and audit-ready documentation.
• Integrate DDI with securityand network services(e. g., logging/telemetry, threat detection, service discovery, load balancing) to improve end to end service resilience.
• Drive DDI transformation initiatives including automation, cloud adoption, and service scalability.
• Contribute to operational maturity: runbooks, monitoring standards, SLO/SLA tracking and continuous improvement.
• Participate in on-call rotations supporting global operations.

AI-Driven Outcomes Expected from This Role:

• Improved DDI reliability through AI-assisted observability and early detection of abnormal DNS query patterns, latency spikes, cache hit degradation, and failure trends.
• Faster incident triage and root cause isolation by using AI-assisted correlation across
• DNS/DHCP logs, metrics, topology/dependency data, and recent changes.
• Reduced MTTR by applying AI-supported remediation suggestions (e. g., configuration rollback candidates, likely upstream dependency failures) with engineering validation and change controls.
• Proactive risk reduction via AI-assisted trend analysis to identify capacity hot spots, misconfigurations, and resilience gaps before customer impact.
• Higher operational efficiency by using AI to accelerate impact analysis, generate clear incident summaries, and standardise diagnostics and runbook updates.

AI Enabled Delivery and Engineering:

• Demonstrated ability to use AI-assisted capabilities available within approved enterprise platforms to accelerate troubleshooting, change impact analysis, and documentation.
• Ability to translate DDI problem statements into well-structured prompts/queries that improve signal-to-noise in logs/telemetry and quickly surface likely causes.
• Experience validating AI-assisted outputs against evidence (resolver behaviour, logs/metrics, packet paths) before execution; understands safe use boundaries in security environments.
• Ability to use AI assistance to draft and refine automation artifacts (scripts, API calls, IaC snippets) with peer review and testing before production use.

Intelligent Network Operations:

• Capability to leverage AI-supported insights to identify recurring DDI failure patterns (e. g., resolution timeouts, recursion failures, DHCP scope exhaustion) and translate them into preventative controls.
• Ability to build and tune AI-informed detections for anomalies (query spikes, NXDOMAIN bursts, unusual recursion behaviour) to reduce false positives and improve signal quality.
• Strong understanding of where AI can augment but not replace engineering judgement, change governance, and accountability in network operations.

Requirements:

• 5+ years of hands-on experience operating enterprise DDI platforms (BlueCat, Infoblox, or equivalent).
• Strong knowledge of DNS, DHCP, and IPAM fundamentals in large enterprise environments.
• Experience operating DDI services in hybrid (on-premises and public cloud) environments.
• Proven incident management and root cause analysis capability for high-impact DDI issues.
• Experience working in SLA driven, globally distributed operations teams, including on-call.
• Strong communication and stakeholder coordination skills across Network, Security, Cloud, and Operations.

Core Technical Skills:

• Deep expertise in enterprise DNS (authoritative/recursive), DHCP, and IPAM design and operations at scale.
• Hands-on experience with BlueCat, Infoblox, or equivalent DDI platforms, including multi-site resiliency and operational tooling.
• Strong troubleshooting across DNS resolution paths, performance/latency, caching behaviour, and dependency chains.
• Hybrid/multi cloud networking fundamentals (AWS and Azure DNS constructs, routing, security controls, certificates/TLS).
• Experience with ITSM and change management processes (ServiceNow preferred); ability to produce audit-ready evidence.
• Automation mindset: APIs, scripting, and/or infrastructure as code for repeatable DDI provisioning and health checks (nice to have).