SaaS Software Engineer (4+ Years Experience)

Materials Data Management•Indianapolis, IN

2d•Hybrid

About The Position

MDMi is seeking experienced SaaS Engineers to join their Software + Solutions Engineer team. The role involves working with subject matter experts to develop, construct, and implement database and scaled processing systems and infrastructure. These solutions will support STEM use cases and comprise hosted and on-prem systems that ingest batch and streaming data. MDMi is a growing full-service data firm focused on data architecture, engineering, and development to deliver innovative STEM data/information management and process solutions. They have a history of developing cutting-edge products and technology and work with clients in various industries including aerospace, defense, automotive, electronics, energy, nuclear, material production, medical devices, gas, product design and engineering, research, and government. MDMi emphasizes developing great people and products by providing tools, training, and growth opportunities in a collaborative learning environment. They value employee well-being and work-life balance, offering competitive compensation, generous benefits, a hybrid work environment, and opportunities for professional development.

Requirements

Approximately 4+ years of professional software development experience.
Experience building and supporting production web applications or SaaS products.
Hands-on experience with Python and a modern web framework, preferably Django.
Experience developing React applications using TypeScript.
Experience designing, implementing, and consuming RESTful APIs.
Experience working with PostgreSQL or another relational database platform.
Experience deploying, operating, or supporting cloud-hosted applications, preferably in AWS.
Experience with Docker and containerized development workflows.
Experience with Git and collaborative software development practices, including pull requests and code reviews.
Experience with automated testing and CI/CD pipelines.
Strong debugging, troubleshooting, and problem-solving skills.
Ability to communicate clearly about technical tradeoffs, implementation approaches, and risks.
Ability to work effectively in a collaborative hybrid environment.

Nice To Haves

Experience designing, building, or operating a multi-tenant SaaS platform.
Experience with tenant isolation, role-based access control, authorization models, or customer-specific application configuration.
Experience supporting a transition from internally hosted or customer-specific software to a scalable SaaS product.
Experience implementing authentication and identity integrations using OAuth 2.0, OpenID Connect, SAML, Amazon Cognito, Auth0, Microsoft Entra ID, or similar technologies.
Experience with AWS services and cloud-native application architecture.
Experience implementing monitoring, logging, alerting, and observability for production applications.
Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or similar technologies.
Experience with GitHub Actions or similar CI/CD tooling.
Experience with data-intensive applications, analytics platforms, scientific software, engineering software, or enterprise data-management systems.
Experience with Microsoft Azure is a plus.

Responsibilities

Design, develop, test, and maintain full-stack web applications using Python, Django, React, and TypeScript.
Build capabilities for a secure, scalable, multi-tenant SaaS platform serving engineering and scientific organizations.
Help design and implement tenant-aware application patterns, including appropriate data isolation, authorization, configuration, and operational controls.
Design, document, and maintain secure REST APIs and backend services.
Collaborate on cloud architecture, deployment approaches, and engineering practices that support long-term product growth.
Improve application performance, scalability, reliability, security, and maintainability.
Build and improve automated testing, CI/CD pipelines, release processes, and developer workflows.
Help implement monitoring, logging, alerting, and observability practices for production systems.
Troubleshoot production issues, identify root causes, and contribute to durable improvements.
Participate actively in sprint planning, estimation, code reviews, technical design discussions, and Agile ceremonies.
Collaborate closely with product, QA, UX, and engineering teammates to deliver high-quality customer outcomes.
Share SaaS engineering practices, technical knowledge, and constructive feedback with teammates.