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Iron Mountain

Senior Manager Software Engineering

Posted Yesterday
Remote
3 Locations
Senior level
Remote
3 Locations
Senior level
The Senior Manager of Software Engineering leads digital transformation initiatives, manages engineering teams, oversees complex projects, and drives innovation in software development.
The summary above was generated by AI

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.

We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. 

Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

Job Summary

Reporting to the Director of Software Engineering, the senior manager is a key engineering and product leader in driving our InSight platform mission to propel digital transformation for our customers. We are seeking a leader to drive the strategy, execution, and delivery of InSight based digital solutions. The leader will build a core team to deliver the solution accelerators to scale the business with rapid implementations through Iron Mountain and partner teams.


Key Areas of

Responsibility

Responsible for digitization systems and technologies
Digitizing documents using machine learning, AI technologies at an enterprise scale
Manages effective stakeholder engagement across all levels. This includes the ultimate users of the platform and operations personnel.
Encourages creativity and challenges traditional thinking to solve business problems.
A talent multiplier who enables the digital teams to drive focus and increase velocity.

Ensures the solution is able to scale to deliver standard business specific platform accelerators.
Keeps abreast of industry trends through benchmarking, participation in professional associations, etc. in order to lead strategic business direction of the vertical.
Lead, mentor, and grow multiple scrum teams of software engineers, fostering a collaborative and high-performing environment.
Oversee the planning, execution, and delivery of complex engineering projects, ensuring they are on time, within budget, and meet quality standards.
Collaborate with product managers, architects, and other stakeholders to define product roadmaps, technical specifications, and ensure alignment with business objectives.
Drive the adoption of best practices in software development, including agile methodologies, code quality, testing, and continuous integration/continuous deployment (CI/CD).
Provide technical guidance and mentorship to engineers, fostering their professional development and technical expertise in areas such as Python, Machine Learning, Large Language Models, and microservices.
Champion a culture of innovation, experimentation, and continuous improvement within the engineering teams.
Identify and address technical challenges and risks, proactively finding solutions to ensure smooth project execution.
Participate in the recruitment and onboarding of new engineering talent.
Manage team performance, providing regular feedback, conducting performance reviews, and identifying opportunities for growth.
Ensure effective communication within the teams and with stakeholders regarding project status, risks, and dependencies.


Skills Required

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10+ years of progressive experience in software engineering, with at least 3+ years in technical management/leadership roles overseeing multiple software development teams.
Proven track record of successfully managing and delivering complex software projects using agile methodologies (Scrum, Kanban).
Expert level understanding of software system design, data systems, microservices architecture, and data analytics.

Ability to effectively plan, prioritize and execute projects, communicate status, foresee risks, flag issues, seek help, and be committed to a culture of continuous improvement.
Strong technical proficiency and hands-on experience in:

  • Python: Demonstrated ability to develop and lead teams using Python, docker, Kubernetes for backend development, data processing, image processing, OCR or other relevant applications.

  • Machine Learning (ML): Solid understanding of machine learning principles, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience leading teams that have built and deployed ML models in production.

  • Large Language Models (LLMs): Familiarity with the concepts, architectures, and applications of Large Language Models. Experience leading teams working with LLMs for various use cases.

  • Microservices Architecture: Deep understanding of microservices design patterns, development, deployment, and scaling. Experience leading teams building and maintaining microservices.

  • Excellent leadership, communication (written and verbal), interpersonal, and problem-solving skills.

  • Ability to travel up to 20% of the time

  • Ability to effectively collaborate with cross-functional teams and influence stakeholders at various levels.

  • Strong understanding of software development lifecycle, testing methodologies, and CI/CD pipelines.

  • Experience with cloud platforms (e.g., AWS, Azure, GCP).

  • Experience with data engineering and data pipelines.

Ability to understand business problems, bridge with technology capabilities and design solutions.
Ability to look across the technology landscape and understand the structure and relationships other applications have to enable an effective data interchange and data ingestion.
Be able to communicate effectively with users, partners, leaders, and executives at all levels.
Exceptional customer service skills, in addition to extensive experience working in a matrixed org.
Exceptional organizational skills with the ability to manage multiple projects and teams with competing priorities. Experience with Agile teams and delivery.

● 5+ years development experience with REST APIs and integrations.

Category: Information Technology

Top Skills

AWS
Azure
Ci/Cd
Data Engineering
Docker
GCP
Kubernetes
Large Language Models
Machine Learning
Microservices
Python
PyTorch
Scikit-Learn
TensorFlow
HQ

Iron Mountain Boston, Massachusetts, USA Office

1 Federal Street, Boston, MA, United States, 02110

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