Endava plc

Technical Delivery Lead

Endava plc • $125K — $150K *
US-AnywhereRemote in United States
Enterprise Technology
8 - 10 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Master's degree preferred; Bachelor's degree in Computer Science, Information Technology, Systems Engineering, or related field required.
  • 8+ years in leading technical projects or cloud infrastructure in a global enterprise, with 2+ years in AI/AIOps deployments.
  • Expertise in AI concepts like LLMs, Agentic AI, tool-calling architectures, and Model Context Protocol (MCP).
  • Hands-on experience with Dynatrace, Splunk, CloudWatch, GCP, AWS, and CI/CD automation.
  • Ability to translate complex I&O environments for AI use and ensure data security compliance.
  • Familiarity with Site Reliability Engineering principles, automated testing, and data pipeline oversight.

Responsibilities

  • Orchestrate AI & AIOps delivery for enterprise initiatives, tracking milestones and integrating code.
  • Lead operational delivery of observability programs, ensuring comprehensive telemetry and automated alerting.
  • Formulate and implement standardized workflows for vulnerability tracking and automated remediation.
  • Collaborate with engineering and security teams, managing dependencies and driving accountability.
  • Establish KPIs for project health and report on cost savings from AI initiatives to executives.
  • Communicate effectively with executives, providing high-level updates and solutions to bottlenecks.

Benefits

  • Robust healthcare and benefits including Medical, Dental, Vision, and Disability coverage.
  • Flexible Spending Accounts for Medical, Transit, and Dependent Care.
  • Employer-paid Life Insurance and AD&D coverage.
  • Health Savings Account paired with a low-cost High Deductible Medical Plan.
  • 401(k) Safe Harbor Retirement plan with immediate employer match.
Full Job Description
Job Description
  • Orchestrate Agentic AI & AIOps Delivery: 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.
  • Lead Observability & Self-Healing Automation: 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).
  • Vulnerability Tracking & Security Remediation: 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.
  • Cross-Functional Team Orchestration: 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.
  • Monthly Project Reporting & Savings Tracking: 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.
  • Executive Communication & Autonomy: 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.


Qualifications
  • Master's degree preferred; 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).


Additional Information

Additional Employee Requirements
  • Participation in both internal meetings and external meetings via video calls, as necessary.
  • Ability to go into corporate or client offices to work onsite, as necessary.
  • Prolonged periods of remaining stationary at a desk and working on a computer, as necessary.
  • Ability to bend, kneel, crouch, and reach overhead, as necessary.
  • Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary.
  • Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary.
  • For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary.
  • For positions that require business travel and/or event attendance, a valid driver's license and acceptable driving record are required, as driving is an essential job function.

*If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship.

USA Benefits (Full time roles only, does not apply to contractor positions)
  • 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

About Endava plc

Endava is a multinational IT services company headquartered in London, United Kingdom. The company provides digital transformation consulting, agile software development, and testing services to clients in various industries including finance, insurance, healthcare, retail, media and technology. Endava has delivery centers in Romania, Moldova, Bulgaria, Serbia, North Macedonia, Argentina, Uruguay, Venezuela, Colombia, Mexico, and Peru. The company was founded in 2000 and went public on the New York Stock Exchange in July 2018.
Learn more about Endava plc
Size
11,001 employees
Market Cap
$4.3 billion
Industry
Information Technology
Net Income
$35.2 million
5 Year Trend
+32.7%
Revenue
$383 million
NASDAQ
DAVA
* Ladders Estimates

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