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Job Title: Associate Engineer - PAS X (Manufacturing Execution Systems)
GCL : C2
Introduction to role:
Are you ready to blend MES expertise with AI and automation to keep life-changing medicines moving through our global supply network? In this role, you will help power next-generation Manufacturing Execution Systems that protect production quality, throughput, and uptime. Reporting to a DevOps/Scrum Lead and working with a distributed team of technology professionals, you will use modern observability, CI/CD, and data-driven insights to prevent issues before they impact the shop floor.
Here, your work directly supports the resilience of our manufacturing operations and the patients who depend on them. You will help evolve PAS X and related applications through cloud enablement, advanced monitoring, and continuous improvement. How would you apply advanced observability tools to spot anomalies early and shorten time to recovery across multiple plants?
Accountabilities:
Ensure optimal performance and stability of multiple manufacturing systems through monitoring and predictive analytics. Detect and resolve issues in PASX environments early using Grafana, Atternity, Nagios, and AWS CloudWatch.
Advanced Support and Automation: Drive automation for PASX deployments and maintenance; implement CI/CD practices that accelerate releases, reduce errors, and improve reliability in regulated environments.
PASX Core3 Migration and Cloud Enablement: Contribute to the transition of PASX Core3 systems and cloud-based efforts aimed at boosting scalability, resilience, and delivery efficiency worldwide.
Identifying Fundamental Causes with AI: Own issues end-to-end, applying AI-enabled problem-solving alongside Lean, PPS, and Six Sigma principles to rapidly isolate root causes and prevent recurrence.
DevOps and Agile Delivery: Apply DevOps tools and practices, including Kubernetes, Docker, GitHub/GitLab, Jenkins, and Azure DevOps (or similar), to enable intelligent build, deployment, and release management; contribute to Scrum ceremonies and iterative delivery.
Cross-System Expertise: Use broad technical knowledge across multiple systems to accelerate decision-making and shorten mean time to resolution for complex, cross-domain incidents.
Develop specialist knowledge in relevant systems. Document technology-based guidelines and patterns for global teams to adopt. This helps standardize and scale improvements.
Stake-holder Collaboration: Partner with users, infrastructure and middleware teams, and vendors to align solutions, resolve issues quickly, and keep production goals on track.
Continuous Improvement: Contribute to initiatives that boost performance, enhance observability, and reduce downtime, turning insights into measurable operational gains.
Mentorship: Coach junior MES analysts on tools and methodologies, building capabilities for the future of smart manufacturing.
Essential Skills/Experience:
- UG - B.Tech /B.E. or other equivalent technical qualifications.
Desirable Skills/Experience:
Why AstraZeneca:
Join a global technology community where diverse minds come together to solve complex problems that matter. You will sit shoulder-to-shoulder with engineers, product owners, data experts, and manufacturing leaders, turning ideas into resilient solutions that keep medicines reaching patients. We pair ambition with kindness and back bold thinking with real investment, giving you the freedom to experiment with AI, automation, and modern platforms while learning from hackathons, multi-functional projects, and external partnerships. Your contribution will scale across sites and geographies, helping us become a truly data-led enterprise and setting new standards for digital manufacturing.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Call to Action:
Step into a role where your MES and AI skills will shape reliable, scalable manufacturing systems—share your profile and help us keep vital therapies flowing to patients without delay.
Date Posted
28-Aug-2026Closing Date
07-Sept-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
