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Position Summary The Senior/Staff Software Engineer at Psivant will be a key contributor to our computational drug discovery efforts. You will be responsible for designing, developing, and optimizing scalable pipelines for molecular simulations within GCP. You will also play a vital role in establishing and promoting software engineering best practices within the team, fostering a culture of innovation and high-quality code. Responsibilities Design, develop, and maintain robust and scalable pipelines for molecular simulations in GCP, leveraging services like Compute Engine, Cloud Storage, Dataflow, BigQuery, and Kubernetes Engine. Optimize existing simulation workflows for performance and cost-effectiveness within the cloud environment. Collaborate with scientists and other engineers to understand requirements and translate them into efficient software solutions. Champion and implement software engineering best practices, including code reviews, automated testing, and continuous integration/continuous deployment (CI/CD). Contribute to the development and maintenance of our software infrastructure and tooling. Proactively identify and address performance bottlenecks and scalability challenges. Mentor and guide junior engineers, fostering a collaborative and supportive team environment. Stay up-to-date with the latest advancements in cloud computing, molecular simulation, and software engineering. Requirements Bachelors or Masters degree in Computer Science, Engineering, or a related field. Minimum of 5 years of experience in software engineering, with a focus on cloud computing and scientific applications. Extensive experience working with GCP, including services like Compute Engine, Cloud Storage, Dataflow, BigQuery, and Kubernetes Engine. Strong Linux system administration skills, including scripting and troubleshooting. Proficiency in Python (or an equivalent language) and experience developing complex applications. Solid understanding of software development lifecycle (SDLC) principles and experience using Git and related tools (e.g., GitHub, GitLab, Bitbucket). Experience with molecular dynamics simulations or other scientific computing applications is highly desirable. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team. A passion for innovation and a desire to contribute to the advancement of drug discovery. Additional Qualifications Experience with job queuing systems such as Slurm. Familiarity with containerization technologies (e.g., Docker). Knowledge of high-performance computing (HPC) concepts and techniques. Experience with machine learning or deep learning applied to drug discovery. #J-18808-Ljbffr