Cloud/Platform Operations Manager at Bain Capital in Boston, MA
- Company: Bain Capital
- Location: Boston
- Salary: $180K – $210K
- Job type: full time
- Workplace: onsite
- Posted: 2026-07-15
All open roles at Bain Capital
Job description
BAIN CAPITAL OVERVIEW With approximately $225 billion of assets under management, Bain Capital is one of the world’s leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit, and Real Assets. Today, our team includes 1,985+ employees in 24 offices on four continents. We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights. Our people are the heart of our advantage. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes. For more information visit: Bain Capital About the Role We are seeking a hands-on, operationally focused Cloud / Platform Operations Manager to lead the day-to-day management of our AWS and Kubernetes environments. This leader will bring deep technical expertise in operating, troubleshooting, and optimizing production Kubernetes platforms while ensuring the reliability, security, and governance of our cloud infrastructure. This role is responsible for ensuring platform stability, enforcing cloud governance and guardrails, and delivering responsive, high-quality support to internal users. The ideal candidate is comfortable rolling up their sleeves to resolve complex Kubernetes and AWS operational issues while also leading and developing a high-performing operations team. Unlike traditional platform engineering roles focused on feature development, this position is centered on operations, service delivery, and execution. The team supports a high volume of incoming requests and operational needs, and this leader will prioritize responsiveness, reliability, and consistency over agile delivery. This role also requires a strong people leader who can manage escalations, support team development, and act as a first line of leadership for operational issues before they reach senior leadership. Responsibilities Operational Leadership & Service Delivery Own the day-to-day operations of AWS and Kubernetes environments, ensuring reliability, availability, and performance. Provide technical leadership and hands-on support for complex Kubernetes and cloud infrastructure issues. Lead a ticket-driven support model, prioritizing and ensuring timely fulfillment of internal user requests. Establish and enforce SLAs/SLOs for platform support and operational responsiveness. Drive a culture of execution, accountability, and customer service within the team. AWS Governance, Guardrails & Policy Enforcement Define, implement, and enforce AWS guardrails, IAM policies, and governance frameworks. Ensure proper account structure, access controls, cost controls, and compliance standards. Partner with security teams to enforce best practices and reduce risk across the platform. Continuously audit and improve cloud policy adherence. Kubernetes Operations & Stability Own the operational health and lifecycle management of production Kubernetes clusters. Maintain and troubleshoot Kubernetes control planes, worker nodes, networking, storage, ingress, and containerized workloads. Perform hands-on cluster administration, upgrades, patching, capacity planning, and performance tuning. Ensure robust monitoring, logging, alerting, and incident response for Kubernet
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