Senior Research Software Developer

Position Summary
The Senior Research Software Developer will lead and contribute to the design development deployment and operation of cloud-native computing environments that support research and data-driven projects at the Renaissance Computing Institute ( RENCI ). This position requires hands-on software engineering expertise and the ability to develop secure reliable and maintainable solutions across public-cloud and on-premises environments. The role will work independently and collaboratively with technical teams researchers and institutional partners to translate project requirements into production-quality research software and infrastructure. Responsibilities include: 1. Designing and implementing software components data structures algorithms APIs and research workflows using Python and related technologies. 2. Developing and operating containerized applications and Kubernetes-based platforms across AWS Microsoft Azure and on-premises environments. 3. Establishing and improving CI/CD automated testing security reliability and observability practices including GitHub Actions vulnerability scanning logging monitoring and deployment automation. The Senior Research Software Developer will work closely with RENCI technical leadership project managers research partners and infrastructure teams to define requirements make technical decisions implement and deploy solutions demonstrate functionality and incorporate user feedback. The position is expected to exercise independent judgment take ownership of substantial development tasks and contribute technical guidance within collaborative agile project teams.

Required Qualifications Competencies And Experience
* Demonstrated experience designing developing testing and maintaining production-quality software systems. * Strong Python programming skills including experience developing services APIs automation data-processing workflows or research software. * Strong Unix/Linux programming and systems skills including shell usage debugging process management networking fundamentals and automation. * Hands-on cloud development experience across one or more public-cloud and on-premises environments with the ability to work across AWS Microsoft Azure and institutional infrastructure. * Hands-on experience containerizing applications with Docker or compatible container technologies. * Hands-on experience deploying operating and troubleshooting applications on Kubernetes. * Demonstrated CI/CD expertise including building and maintaining GitHub Actions workflows for testing security checks image builds and deployments. * Knowledge of software engineering fundamentals including data structures algorithms object-oriented design version control automated testing debugging security and documentation. * Experience working effectively in an agile team-based development environment including familiarity with Jira sprint planning backlog refinement estimation and iterative delivery. * Strong written and verbal communication skills and the ability to work independently with researchers engineers project managers and institutional partners.

Preferred Qualifications Competencies And Experience
* Experience developing software or infrastructure for AI/ML data science research computing or scientific cyberinfrastructure. * Additional experience in one or more of the following areas: * Cloud infrastructure-as-code Helm Terraform or GitOps-based deployment practices * Kubernetes security observability identity and access management or storage integration * Databases data platforms distributed systems GPU -enabled computing or MLOps workflows * Experience providing technical leadership mentoring developers or owning major features or work streams * Experience working on collaborative research higher-education open-source or cross-institutional software projects