Technical Delivery Lead

Endava

10d • Hybrid

About The Position

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Systems Engineering, or a related field required.
• 8+ years leading complex technical projects, product delivery, or cloud infrastructure rollouts within a global enterprise IT environment, with at least 2+ years leading AI/AIOps platform deployments.
• Mastery of AI concepts, including Large Language Models (LLMs), Agentic AI, multi-agent reasoning, tool-calling architectures, Retrieval-Augmented Generation (RAG), and the Model Context Protocol (MCP).
• Hands-on experience with enterprise monitoring platforms (e.g., Dynatrace, Splunk, CloudWatch), cloud environments (GCP, AWS), and CI/CD pipeline automation.
• Proven ability to translate complex I&O environments into contextual schemas for AI consumption, paired with experience establishing guardrails for data security, AI safety, and compliance.
• Deep familiarity with Site Reliability Engineering (SRE) principles, automated testing, IaC, and data pipeline oversight (e.g., Snowflake/ETL validation).

Nice To Haves

• Master’s degree preferred

Responsibilities

• Serve as the technical delivery orchestrator for enterprise-wide Agentic AIOps initiatives. Drive milestone tracking, integration of developed code blocks, and deployment of multi-agent reasoning systems, dynamic agent registries, and tool-calling interfaces utilizing Google Cloud Vertex AI, Model Context Protocol (MCP), and agentic frameworks.
• Direct operational delivery for enterprise observability programs. Oversee telemetry ingestion, monitoring standardization, automated alerting, and self-healing automation workflows across multi-cloud infrastructure using enterprise observability tools (e.g., Dynatrace, Splunk, CloudWatch).
• Formulate, integrate, and deploy standardized vulnerability tracking workflows and automated remediation frameworks across application and infrastructure portfolios to maintain strict enterprise compliance and security posture.
• Harmonize diverse engineering, application support, data, and security teams. Manage resource dependencies, navigate competing priorities, and drive strict accountability across separate technical units to meet consolidated timeline goals.
• Establish quantitative KPIs to track delivery health, token consumption, operational MTTR improvements, and financial value. Build and maintain executive reporting frameworks that explicitly measure and report cost savings generated by AI and automation initiatives.
• Establish concise, high-level reporting cadences for executive leadership. Anticipate bottlenecks, clear technical roadblocks independently, and distill complex, multi-team technical statuses into clear, actionable executive updates.

Benefits

• Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
• Flexible Spending Accounts (Medical, Transit, and Dependent Care)
• Employer Paid Life Insurance and AD&D Coverages
• Health Savings account paired with our low-cost High Deductible Medical Plan
• 401(k) Safe Harbor Retirement plan with employer match with immediately vest

What This Job Offers

• Job Type: Full-time
• Career Level: Senior