Drive the creation of bespoke software applications, meticulously coding and refining components for diverse systems. Utilizing contemporary frameworks and agile methodologies, you will craft scalable, high-performance solutions designed to meet unique business requirements. This role involves leading the charge in developing custom software solutions, ensuring they are robust and precisely aligned with project specifications.

As a Custom Software Engineer, you will be instrumental in translating complex business needs into functional software. Your expertise will be key in designing, developing, and configuring specialized applications, ensuring seamless integration and optimal performance across various platforms. This is an opportunity to shape innovative software solutions.

Independently lead development efforts and become a subject matter expert in relevant domains. Actively participate and contribute valuable insights during team discussions and problem-solving sessions. Collaborate effectively with cross-functional teams to understand requirements and translate them into precise technical specifications. Maintain transparent and consistent communication with stakeholders to ensure alignment and successful project outcomes. Proactively evaluate and enhance application performance and reliability, addressing any inefficiencies. Mentor and guide junior team members, sharing knowledge and promoting best practices for software development.

Possess deep expertise in Data Analytics, Pharmacovigilance, and Drug Safety Surveillance. Demonstrate strong techno-functional proficiency in Pharmacovigilance, specifically within LSMV Safety, covering database implementation, configuration, and production support using Java, SQL, SpringBoot, and REST APIs. Exhibit hands-on experience across the entire LSMV deployment lifecycle, from initial requirement gathering to release management, Hypercare, and production issue resolution. Showcase robust SQL and Oracle skills for data validation, query analysis, and troubleshooting safety database workflows in regulated life sciences environments. Apply strong analytical capabilities to interpret complex datasets and derive actionable insights. Design and implement data-driven solutions to support critical business processes. Familiarity with data management principles is essential for ensuring data quality and integrity. Effectively work with diverse data sources and tools for efficient data extraction, transformation, and loading. Utilize excellent problem-solving skills to overcome technical challenges and optimize application functionality.