
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.
🔥 17 hours ago
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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.
• Lead end-to-end delivery of enterprise AI, Agentic AI, AIOps, observability, and infrastructure automation initiatives • Drive development and deployment of Agentic AI platforms, multi-agent solutions, MCP-based architectures, and automated self-healing infrastructure • Provide hands-on technical leadership, including Python development, asynchronous scripting, MCP server development, code reviews, and technical design • Orchestrate cross-functional engineering teams across AI/ML, cloud, infrastructure, SRE, security, and application engineering • Translate complex enterprise IT Infrastructure & Operations environments into contextual schemas and tools consumable by AI agents • Develop and implement automation for incident remediation, vulnerability management, observability, runbook execution, and infrastructure self-healing • Work with enterprise observability platforms such as Dynatrace/Davis AI, Splunk, and CloudWatch • Establish technical guardrails covering AI safety, data security, compliance, access controls, and responsible AI execution • Drive CI/CD, Infrastructure as Code, automated testing, and cloud deployment practices • Provide technical oversight of data pipelines, including ETL processes and Snowflake validation • Conduct code reviews and establish engineering standards for AI agents, MCP servers, automation frameworks, and supporting services • Track delivery milestones, technical risks, operational outcomes, and financial benefits while providing strategic visibility to executive leadership • Participate in internal and external meetings via video calls as necessary • Work onsite at corporate or client offices as necessary
• 8+ years of experience leading complex technical projects, product delivery, software engineering initiatives, or cloud infrastructure programs within a global enterprise IT environment • 2+ years of experience leading AI, Agentic AI, AIOps, or AI-driven infrastructure platform deployments • Strong hands-on knowledge of Python, including asynchronous programming and automation scripting • Hands-on experience developing or integrating MCP (Model Context Protocol) servers and tool-calling architectures • Strong understanding of LLMs, Agentic AI, multi-agent reasoning, tool calling, RAG, and AI orchestration frameworks such as LangChain or CrewAI • Experience with Dynatrace/Davis AI, enterprise observability, AIOps, or self-healing infrastructure automation • Hands-on experience with cloud platforms such as AWS and/or GCP • Experience with CI/CD, Infrastructure as Code, automated testing, and SRE practices • Experience working with enterprise monitoring and observability platforms such as Dynatrace, Splunk, or CloudWatch • Strong understanding of infrastructure automation, SRE runbooks, incident management, and automated remediation • Experience with data platforms and pipelines, including Snowflake, ETL, and data validation • Ability to provide hands-on technical direction and code-review leadership while managing complex enterprise delivery • Ability to go into corporate or client offices to work onsite, as necessary • For positions requiring business travel and/or event attendance, a valid driver’s license and acceptable driving record are required
• 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
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