Senior Software Engineer

Iron Mountain provides records and information management, digital transformation, data center, asset lifecycle management, and related services. The Senior Software Engineer will design and deliver secure, high-performance microservices and APIs for the InSight content services platform, integrating backend technologies, machine learning, and cloud infrastructure. The role also involves full-stack development, scalable system design, testing, and performance debugging within an Agile environment.

Responsibilities:

• Participate in technical implementation discussions to balance business value, scalability, and delivery timelines using Object-Oriented Programming methodologies and design patterns
• Develop highly performant backend service functionalities and API-to-API integrations using Java (Spring Boot) and Python (Flask) with JavaScript Object Notation (JSON) formats and Structured Query Language (SQL) databases
• Design and build front-end service layers to support user interface needs using modern web technologies like Angular and React JavaScript
• Integrate Machine Learning components into microservices and collaborate with infrastructure teams to implement highly scalable, distributed systems
• Utilize Docker containerization to build application images for deployment across Google Cloud Platform, Amazon Web Services, and Microsoft Azure, while writing unit tests with a test-driven mindset and debugging performance issues

Requirements:

• Must be a US citizen and eligible to obtain a clearance
• To be successful, the candidate needs to have experience with Java and Python core backend application development and SQL databases (SQL Server or Oracle or Postgresql or MySQL)
• 3–5 years of experience in backend application development utilizing Object-Oriented Programming, Java, Python, Docker, Linux shell scripting, and Structured Query Language (SQL) development
• 3–5 years of experience with cloud service providers like Google Cloud Platform, Amazon Web Services, or Microsoft Azure, specifically across storage, compute, and Kubernetes services
• Strong knowledge of server-oriented architectures, web platform applications, Application Programming Interface (API) gateways, and integration with Representational State Transfer (REST) services
• Proven ability in developing and deploying scalable Artificial Intelligence and Machine Learning (AI/ML) microservices, managing architectural governance, conducting security reviews, and identifying performance challenges
• Solid experience with distributed team environments and Agile Scrum methodologies utilizing tools such as Atlassian JIRA, Rally, Team Foundation Server (TFS), or Version One
• Mastery of code repositories and version control systems including Git and artifactory repositories
• Minimum Bachelor's degree (Bachelor of Science, Master of Science, or Master of Business Administration) combined with strong communication, collaboration, and problem-solving skills