Full Stack Engineer

Reposted 10 Days Ago
Chennai, Tamil Nadu, IND
In-Office
Entry level
Biotech • Pharmaceutical
The Role
Design and build scalable cloud-native full-stack applications, data products, and user experiences supporting antibody discovery. Collaborate with scientists, product, design, data science, and MLOps teams across architecture, data modeling, infrastructure, testing, monitoring, and reliability. Apply modern engineering practices, contribute across the technology stack, improve platform performance, and mentor peers while supporting AI/ML-enabled scientific workflows.
Summary Generated by Built In

GCL: D2
Introduction to role:

 

Are you ready to build cloud-native products that accelerate antibody discovery and help bring medicines to patients faster! Join us to turn advanced data and AI into real-world impact by designing end-to-end solutions scientists love to use.

You will be part of a global, high-calibre team of software, data, and MLOps engineers, architects, product leaders, and scientists building an Augmented Biologics Discovery Platform. You will shape the experience and the architecture, turning complex scientific workflows into intuitive, production-grade software that shortens the path from idea to clinical candidate.

Working side by side with product, design and scientific users, you will create scalable services, data products and applications in the cloud. How would you design a cohesive, delightful experience that researchers choose every day because it makes their work faster, clearer and more insightful?
 

Accountabilities:

  • Full-Stack Solution Design: Own the design and implementation of scalable, cloud-native applications that meet scientists’ requirements end to end.
  • AI/ML Data Products: Deliver production-grade data products that enable and accelerate AI/ML use cases in discovery.
  • Product and UX Innovation: Build novel features that solve long-standing drug discovery problems with experiences that feel seamless and unified.
  • Cross-Functional Collaboration: Work closely with product, design, data science, and scientific teams to build cutting-edge services and user journeys.
  • Architecture and Data Models: Propose and implement changes to data models, core architecture, and the codebase to improve quality and velocity.
  • Full-Stack Delivery: Contribute across all layers of the stack, even where you are less experienced, to move the product forward.
  • Agile Ways of Working: Advance modern, agile software practices and help foster a vibrant engineering culture.
  • Platform Reliability: Plan, implement and support core infrastructure to improve scalability, reliability, performance, and availability.
  • Engineering Excellence: Champion rigorous practices including code reviews, automated testing, logging, monitoring, and alerting.
  • Learning and Mentorship: Stay on top of tech trends, experiment, engage with internal and external communities, and mentor peers.
  • Critical Problem Solving: Apply structured analysis and sound judgment to propose robust solutions to engineering challenges.
     

Essential Skills/Experience:

  • Experience in designing end-to-end full stack software in cloud
  • Deep expertise in Java and Python. Additionally, expertise in other programming languages like C++, Node.js will be advantageous
  • Experience in at least one major web development framework from Spring, Flask, Django, and beyond
  • Strong front end skills with one of the major front end frameworks from React, Angular or Vue.js
  • Additional front-end skills in CSS as well as some related CSS framework like Bootstrap
  • Experience working with relational and/or NoSQL databases and knowledge of query optimization techniques
  • Proficiency in Linux environments
  • Demonstrable high proficiency in data structures and design patterns, as well as associated antipatterns. Be able to defend, compare, and contrast these decisions
  • Demonstrable abilities with the coding best practices including testing, code review, and version control
  • CI/CD experience with some automation tooling like Jenkins, TravisCI, Github actions, etc.
  • Experience of data analysis – profiling, investigating, interpreting, and documenting data structures
  • Excellent teamworking, verbal, and written communication skills
  • Experience with Docker and Kubernetes
     

Desirable Skills/Experience:

  • Familiarity with Computational Biology/Bioinformatics concepts
  • Basic understanding of Machine Learning concepts and MLOps
  • Experience in microservice architecture
  • Experience with message queuing (RabbitMQ, SQS, etc.)
  • Experience with GitOps for Kubernetes
     

Why AstraZeneca:
 

Here you will join a fast-moving, digitally savvy community that blends bold ambition with genuine support. We work in unexpected combinations—scientists, engineers, designers and product leaders in the same room—turning ideas into working software that changes how decisions are made across discovery. You will apply modern engineering, data and design thinking to real problems, see your work used at global scale, and feel its impact on patients. We back curiosity with ownership, value kindness alongside ambition, and give you the space to move quickly while doing things the right way.
 

Call to Action:
 

If you are ready to build software that advances science and your career, send your CV today and help us transform biologics discovery for patients worldwide!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Date Posted

30-Sept-2026

Closing Date

13-Oct-2026

AstraZeneca 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.

Skills Required

  • Experience designing end-to-end full-stack software in cloud environments
  • Deep expertise in Java and Python
  • Experience with a major web development framework such as Spring, Flask, or Django
  • Strong front-end skills with React, Angular, or Vue.js
  • CSS and related CSS framework experience, such as Bootstrap
  • Experience with relational and/or NoSQL databases and query optimization
  • Proficiency in Linux environments
  • Strong knowledge of data structures, design patterns, and antipatterns
  • Experience with coding best practices, testing, code review, and version control
  • CI/CD experience with automation tools such as Jenkins, Travis CI, or GitHub Actions
  • Experience profiling, investigating, interpreting, and documenting data structures
  • Excellent teamwork, verbal communication, and written communication skills
  • Experience with Docker and Kubernetes
  • Experience with C++ or Node.js
  • Familiarity with computational biology or bioinformatics concepts
  • Basic understanding of machine learning concepts and MLOps
  • Experience with microservice architecture
  • Experience with message queuing technologies such as RabbitMQ or Amazon SQS
  • Experience with GitOps for Kubernetes

AstraZeneca Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.

  • Fair & Transparent Compensation — Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
  • Strong & Reliable Incentives — Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
  • Retirement Support — A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.

AstraZeneca Insights

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The Company
HQ: Gaithersburg, MD
70,000 Employees
Year Founded: 1999

What We Do

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet.

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