Note: The job is a remote job and is open to candidates in USA. Iron Mountain is a company that provides expert solutions in records and information management, digital transformation services, and data centers. The Senior Software Engineer will be responsible for designing and delivering secure microservices and APIs within an Agile development lifecycle, focusing on integrating Machine Learning for actionable business insights.
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
Skills
- Must be a US citizen and eligible to obtain a clearance
- 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
Benefits
- Day-One Benefits: Enjoy comprehensive health, wellness, and retirement plans with robust benefits starting on your first day of employment.
- Empowering Your Balance: Flexible vacation plan to support your personal and professional well-being.
- Continuous Career Development: Elevate your skills through ongoing training, corporate learning resources, and internal advancement opportunities on a global scale.
- Compensation & Care: Competitive salary commensurate with your experience, paired with a comprehensive company-wide benefits package.
Company Overview