Technical Delivery Lead

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

✨ Technical Lead

👻 Ghost score 10%

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Endava

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2000

🏥 Healthcare

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2023-02

Healthcare • Marketing • Logistics

Endava is a technology company that partners with clients to drive meaningful change through innovative technological solutions. With over two decades of experience, Endava combines world-class engineering, industry expertise, and a people-centric mindset to transform businesses across various sectors. Specializing in areas such as finance and banking, healthcare, media, and telecommunications, Endava leverages its industry-specific knowledge to create solutions that meet the evolving needs of the market. The company is committed to building trusted partnerships and creating positive impacts for both businesses and people.

📋 Description

• Orchestrate enterprise-wide Agentic AIOps initiatives as the technical delivery lead • Track milestones, integrate developed code blocks, and deploy multi-agent reasoning systems, dynamic agent registries, and tool-calling interfaces using Google Cloud Vertex AI, MCP, and agentic frameworks • Direct operational delivery for enterprise observability programs • Oversee telemetry ingestion, monitoring standardization, automated alerting, and self-healing automation across multi-cloud infrastructure • Formulate, integrate, and deploy standardized vulnerability tracking and automated remediation workflows • Coordinate engineering, application support, data, and security teams • Manage resource dependencies, competing priorities, and accountability across technical units • Establish KPIs for delivery health, token consumption, MTTR improvements, and financial value • Build and maintain executive reporting frameworks measuring AI- and automation-generated cost savings • Establish executive reporting cadences, anticipate bottlenecks, clear technical roadblocks, and provide actionable status updates

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, Systems Engineering, or a related field required • Master’s degree preferred • 8+ years leading complex technical projects, product delivery, or cloud infrastructure rollouts within a global enterprise IT environment • 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 such as Dynatrace, Splunk, and CloudWatch • Experience with GCP, AWS, and CI/CD pipeline automation • Proven ability to translate complex I&O environments into contextual schemas for AI consumption • 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 such as Snowflake/ETL validation • Ability to participate in internal and external meetings via video calls, as necessary • Ability to work onsite at corporate or client offices, as necessary • For positions requiring business travel and/or event attendance: ability to lift 25 lbs, valid driver’s license, and acceptable driving record

🏖️ 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 • Open, inclusive, and respectful work environment • Reasonable accommodations during the recruitment process, if needed