job summary: Are you a seasoned engineer passionate about building robust computational platforms in modern cloud environments? Do you thrive on scaling innovative solutions and developing new capabilities to accelerate scientific discovery? Join a leading team dedicated to advancing groundbreaking research in the life sciences, particularly within biotech and drug discovery. This is a unique opportunity to apply your expertise in a collaborative environment, working alongside brilliant engineers and scientists to design and implement cutting-edge solutions. You'll play a pivotal role in shaping the future of a powerful platform that orchestrates computing, manages change, and safeguards the reproducibility of results for data-intensive research. location: Houston, Texas job type: Permanent salary: $140,000 - 160,000 per year work hours: 8am to 5pm education: Bachelors responsibilities: Design and implement advanced cloud infrastructure for scientific research. Architect solutions that facilitate collaborative data analysis using modern technology stacks. Create and extend orchestration and workflow systems to run scientific computing tasks in a stable, reproducible way. Collaborate closely with a diverse team of engineers, neuroscientists, and data scientists on computational workflows, analysis, and visualization. Develop and extend a SaaS product for data science, contributing to its core functionalities. Serve as a technical mentor, guiding the team in best practices for building scalable and reliable systems. Participate actively in Agile processes, contributing to continuous improvement. Create and consistently update documentation for both internal developers and front-end users. qualifications: 5-7 years of professional programming experience. Proficiency in Python and TypeScript, along with experience in at least one system programming language (e.g., Go, Rust, C++). Strong experience with Kubernetes and delivering containerized services. Demonstrated experience with AWS (Amazon Web Services) in delivering professional, secure systems. Hands-on experience with scientific or numerical methods programming packages such as SciPy or NumPy. Proficiency with modern software development practices, including Agile methodologies, Git, and CI/CD. BS/MS in Computer Science (or a related technical discipline) or equivalent professional experience. skills: Experience building platforms that manage code, data, and computation, such as MLOps, AIOps, DataOps, or SciOps. Experience implementing and using observability systems for logs, metrics, and traces (e.g., OpenTelemetry, ELK, Datadog, Splunk, Grafana) to monitor, diagnose issues, and optimize complex computing environments. Experience with process automation within and/or across public cloud, private cloud, edge, and high-performance computing (HPC) environments. Experience with Infrastructure as Code (IaC) systems (e.g., Terraform, CloudFormation). Working knowledge of Authentication and Authorization using OAuth and IDCs. Experience with container orchestration frameworks beyond basic Kubernetes (e.g., OpenShift, Nomad). Experience scaling systems with microservice architectures. Experience implementing complex algorithms & data structures. Previous participation in at least one compliance effort. Proficiency with production use of relational database systems (e.g., MySQL, PostgreSQL). Experience with full-stack web development (e.g., React, Node, Flask). Previous experience collaborating on open-source software. Interest in developing advanced computational techniques (such as AI/ML tuning of closed-loop experiments, metaprogramming, or deep learning) and tools to make them broadly accessible. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.