Principal Administrator, Systems Management

Cencora, previously known as AmerisourceBergen, is a leading global pharmaceutical solutions organization centered on improving lives. Ranked #21 on the Global Fortune 500, our team members are united in our responsibility to create healthier futures. Our Shared Service Center in Lithuania is experiencing rapid growth and we have many diverse and exciting roles in Customer Service, Operations, IT, Finance and HR.  Join us and make a positive impact on human and animal health.

We are seeking a Principal Administrator to join our IT Operations team, specializing in Site Reliability Engineering (SRE). This senior individual contributor role sits at the intersection of software engineering, infrastructure, and emerging AI technologies. You will drive the reliability, performance, and scalability of Cencora's critical systems while championing the adoption of AI-powered tooling to elevate the operational maturity of the organization. This is a highly influential position — you will set technical direction, shape engineering standards, and serve as a force multiplier for the broader IT Operations function.

Site Reliability Engineering Own and drive the reliability, availability, and performance of critical production systems, defining and enforcing SLOs, SLIs, and error budgets across services. Lead incident response efforts — serving as the escalation point for major outages, conducting thorough post-incident reviews, and driving systemic improvements from blameless retrospectives. Design and implement advanced observability strategies, including distributed tracing, structured logging, and metrics-driven alerting using modern observability platforms. Champion toil reduction by systematically identifying manual operational work and replacing it with automation and self-healing systems. Develop and maintain runbooks, playbooks, and disaster recovery procedures that are clear, tested, and actionable. AI Tooling & Innovation Lead the evaluation, integration, and operationalization of AI-powered tooling, with a strong focus on platforms such as Azure AI Foundry, Azure OpenAI Service, and related MLOps frameworks. Architect and maintain AI/ML infrastructure pipelines, including model deployment, inference endpoints, monitoring, and feedback loops for production AI systems. Drive the adoption of AI-assisted operations — including intelligent alerting, anomaly detection, predictive capacity planning, and LLM-based automation workflows. Collaborate with product and data science teams to translate AI capabilities into reliable, production-grade services with appropriate guardrails and governance. Stay at the forefront of emerging AI tooling and proactively identify opportunities to apply new capabilities to operational challenges. Network Technologies Apply a deep understanding of networking principles — including TCP/IP, DNS, BGP, load balancing, CDN, SD-WAN, and zero-trust network architecture — to diagnose and resolve complex infrastructure issues. Partner with network engineering teams to ensure resilient, low-latency connectivity for distributed and cloud-native services. Design and validate network observability practices, including flow analysis, packet capture, and performance baselining across hybrid cloud environments. Contribute to network security posture through familiarity with firewalls, WAFs, DDoS mitigation, and private connectivity patterns (e.g., Azure Private Link, ExpressRoute). Software Engineering Write production-quality code and automation in one or more languages (Python, Go, PowerShell, or equivalent) to build internal tooling, infrastructure-as-code, and automation frameworks. Apply software engineering best practices — including version control (Git), CI/CD pipelines, code review, testing, and documentation — to all operational work. Contribute to and govern Infrastructure as Code (IaC) standards using Terraform, Bicep, or similar tooling across cloud