Software Engineer, Full Stack
Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listed on 2026-01-12
-
Software Development
Cloud Engineer - Software, AI Engineer
General Information
Job Advert
Title:
Software Engineer, Full Stack
Location:
Poland
Function/Business Area:
Information Technology
Employment Class:
Permanent
About Astellas:
At Astellas we are a progressive health partner, delivering value and outcomes where needed.
We pursue innovative science, focussing initially on the areas of greatest potential and then developing solutions where patient need is high, often in rare or under‑served disease areas and in life‑threatening or life‑limiting diseases and conditions.
We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs are guiding our development activities at every stage.
Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. At Astellas, Patient Centricity isn’t a buzzword – it’s a guiding principle for action. We believe all staff have a role to play in creating a patient‑centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team or division.
We work closely with regulatory authorities and payers to find new ways to ensure access to new therapies. We deliver the latest insights and real‑world evidence to inform the best decisions for patients and their caregivers, to ensure the medicines we develop continue to provide meaningful outcomes.
Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care.
The Opportunity:
As a backend engineer you would help to shape the future of Astellas by building the production backbone of our Generative AI platforms. This is a high‑impact role at the heart of our digital transformation, where you will design, deploy, and scale systems that enable cutting‑edge AI to make a tangible difference across commercial, manufacturing, and medical operations.
In this role, you’ll own the challenge of bringing state‑of‑the‑art AI into production, integrating diverse data sources, architecting resilient APIs, and ensuring scalable, reliable service delivery at enterprise level. You’ll have the autonomy to make big decisions, continuously improve systems, and explore new technologies while collaborating with a dynamic, globally distributed team of innovators across multiple time zones.
This is more than backend engineering. It’s an opportunity to drive real transformation at scale, experiment with SOTA AI, and grow in an environment that values continuous learning, global collaboration, innovation, and impact.
Hybrid Working:
At Astellas we recognise the importance of balancing your work and home life, so we offer a hybrid working solution allowing time to connect with colleagues in person at the office alongside the flexibility to work from home; optimising the most productive work environment for you to succeed and deliver.
Key Activities for this role:
- End-to-End Development:
Design, develop, and maintain scalable full‑stack applications that connect intuitive, performant user interfaces with robust backend services powering Generative AI platforms. - Frontend Engineering:
Build modern, responsive, and accessible UIs using frameworks such as React, Next.js, or Vue, delivering seamless user experiences for diverse stakeholders across Astellas’ commercial, medical, and manufacturing operations. - Backend & API Integration:
Develop and optimize secure, scalable APIs; integrate with data pipelines, vector databases, and AI model endpoints to bring Generative AI into production. - Cloud‑Native Deployment:
Deploy, operate, and scale full‑stack applications in cloud environments (AWS, GCP, or Azure), leveraging CI/CD pipelines, containerisation, and infrastructure‑as‑code. - Data Handling:
Work with structured and unstructured data to support AI‑driven workflows and ensure smooth data flow between front‑end, back‑end, and ML systems. - Monitoring & Continuous Improvement:
Implement observability, logging, and performance monitoring for full‑stack applications; proactively identify and…
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