Senior Engineer – Biobank IT Support

JobCubby; Chennai District; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

AstraZeneca is seeking an experienced IT/software engineer to act as the technical backbone for LIMS and Biobank SaaS ecosystems, integrating SaaS with enterprise systems and automating workflows.

You will design and support MuleSoft APIs, manage data quality with Snowflake and PostgreSQL, and optimize cloud operations on AWS while following ITIL practices and Agile release delivery. Collaboration across global teams is essential.

Qualifications

• 7+ years IT/software engineering experience, preferably within the Life Sciences industry.
• Strong experience supporting LIMS and/or Biobank SaaS products.
• Hands-on experience with SaaS application support, incident fixes, integrations, releases, and vendor coordination.
• MuleSoft Developer experience with MuleSoft certification.
• Good understanding of Snowflake and PostgreSQL, including SQL.
• Basic scripting/programming in Python or Ruby.
• Basic knowledge of AWS cloud services and concepts.
• Understanding ITIL principles and IT service management processes.
• Experience in Agile/Scrum environments.
• Experience participating in major application release projects.
• Strong analytical, debugging, problem-solving, and collaboration skills.
• Ability to work across distributed teams.

Responsibilities

• LIMS and Biobank SaaS stability and performance management.
• Design, develop, and support MuleSoft APIs and integration flows.
• Investigate, validate, and reconcile data with Snowflake and PostgreSQL.
• Build lightweight tools in Python or Ruby to automate work.
• Support applications and integrations hosted on AWS for reliability and cost control.
• Lead ITIL incident, problem, change, and service request processes.
• Contribute to Agile release delivery including planning, testing, deployment.
• Collaborate with cross-functional teams to remove blockers and deliver outcomes.
• Create and maintain runbooks, knowledge articles, and documentation.
• Explore GenAI and agentic solutions to improve troubleshooting and efficiency.

Skills

LIMS SaaS

Biobank SaaS

MuleSoft Development

SQL

Python/Ruby

AWS Cloud

ITIL/SM

Agile/Scrum

Vendor coordination

Education

CS/IT/Engineering degree

Pharmaceutical Sciences degree

Tools

MuleSoft

Snowflake

PostgreSQL

AWS

Job description

Introduction to role:

Are you ready to keep critically meaningful laboratory information management and biological sample storage platforms running perfectly so scientists can move faster to deliver life-changing medicines. In this role, your engineering decisions will directly protect research continuity, data integrity, and the pace of discovery across a complex, global environment!

You will be the technical backbone for our Biobank and LIMS ecosystem, integrating SaaS applications with enterprise systems, strengthening data pipelines, and automating support workflows. Can you picture yourself turning sophisticated integration challenges into simple, resilient services used by teams worldwide? Join a team that uses modern integration, data, cloud, and emerging AI capabilities to help the enterprise run at speed for patients.

Accountabilities:

• LIMS and Biobank Application Support: Lead the stability and performance of LIMS and Biobank SaaS products, ensuring high availability, swift recovery, and strong vendor engagement to protect research operations.
• Integration Engineering (MuleSoft): Design, develop, and support robust APIs and integration flows with comprehensive error handling and monitoring that make data and processes flow reliably across systems.
• Data Fix (Snowflake and PostgreSQL): Investigate, validate, extract, and reconcile data to resolve issues quickly and improve data quality and audit readiness.
• Automation and Scripting: Build lightweight tools and utilities in Python or Ruby to eliminate manual effort, reduce incident volume, and accelerate root-cause analysis.
• Cloud Operations (AWS): Support applications and integrations hosted on AWS, applying core cloud concepts to improve reliability, scalability, and cost awareness.
• Service Management (ITIL): Lead incident, problem, change, and service request processes with clear ownership, strong communication, and measurable service improvements.
• Agile Release Delivery: Chip in across planning, configuration, testing, deployment, and post-release stabilization for major releases, bringing predictability and speed to delivery.
• Cross-Functional Teamwork: Partner with application, infrastructure, security, data, business, and vendor teams to align priorities, remove blockers, and deliver outcomes that matter to end users.
• Operational Excellence and Knowledge: Build and maintain user documentation, operational runbooks, and knowledge articles that enable consistent, high-quality support at scale.
• AI-Enabled Support Innovation: Explore and pilot GenAI and agentic solutions to enhance troubleshooting, knowledge management, and operational efficiency, turning learning into measurable productivity gains.

Essential Skills/Experience:

• 7+ years of IT/software engineering experience, preferably within the Pharmaceutical or Life Sciences industry.
• Strong experience supporting LIMS and/or Biobank SaaS products.
• Hands-on experience with SaaS application support, incident fix, integrations, releases, and vendor coordination.
• MuleSoft Developer experience with MuleSoft certification.
• Good solid understanding of Snowflake and PostgreSQL, including SQL.
• Basic scripting/programming experience in Python or Ruby.
• Basic knowledge of AWS cloud services and concepts.
• Understanding of ITIL principles and IT service management processes.
• Experience working in Agile/Scrum environments.
• Experience participating in major application release projects.
• Strong analytical, fixing, problem-solving, and social skills.
• Ability to work efficiently across geographically distributed and cross-functional teams.
• Bachelor's or Master's degree or equivalent experience in Computer Science, Information Technology, Engineering, Pharmaceutical Sciences, or a related rigor.

Desirable Skills/Experience:

• Practical experience working with AI agents, Generative AI, LLM-based tools, or AI-powered automation.
• Experience creating basic AI agents using enterprise AI platforms or LLM frameworks, AWS or ITIL/Agile certification.
• Knowledge of GxP, 21 CFR Part 11, EU Annex 11, and ALCOA+ principles.
• Experience with CI/CD, DevOps, application monitoring, and automated testing.
• Experience working with global teams and external SaaS/product vendors.

Why AstraZeneca:

Here, your engineering craft powers science at scale. You will join a high-performing, digitally fluent community that is integrated across the enterprise, using modern platforms and data-driven practices to remove friction and speed progress for teams focused on patients. We bring diverse authorities together to challenge assumptions, co-create aggressive solutions, and move quickly-balancing ambition with support, and patience with candor. You will see the impact of your work in how reliably our scientists operate each day, while gaining access to modern technology, complex global problems, and the freedom to turn practical ideas into real outcomes.

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: 04-Sept-2026

Closing Date: 17-Sept-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.