Bain Capital Jobs Hiring Now

Title: Senior Cloud / Platform Operations Engineer

Location: Boston, MA

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

DESCRIPTION

We are seeking a Senior Cloud / Platform Operations Engineer to play a key role in the day-to-day operations of our AWS and Kubernetes platforms. This is a hands-on technical role focused on ensuring the reliability, security, and operational excellence of our cloud infrastructure.

Unlike traditional platform engineering roles centered on building internal developer platforms or delivering new features, this position is focused on operations, service delivery, and execution. You'll be responsible for maintaining production Kubernetes clusters, enforcing AWS governance, responding to operational issues, and supporting a high volume of internal requests. As well as participating in an On Call off hours rotation.

The ideal candidate thrives in production environments, enjoys solving complex infrastructure problems, and is passionate about building stable, secure, and well-governed cloud platforms.

Responsibilities

Cloud & Platform Operations

• Own the day-to-day operations of AWS and Kubernetes environments, ensuring high availability, reliability, and performance.
• Perform hands-on administration of production Kubernetes clusters and AWS infrastructure.
• Troubleshoot complex infrastructure, networking, and container platform issues.
• Execute platform maintenance activities including upgrades, patching, scaling, and lifecycle management.
• Continuously improve operational processes, automation, and platform stability.

Kubernetes Operations

• Operate and maintain production Kubernetes clusters.
• Perform cluster upgrades, patching, and version management.
• Troubleshoot Kubernetes control plane, worker nodes, networking, storage, ingress, and workload issues.
• Optimize cluster performance, resource utilization, and resilience.
• Support containerized application deployments and resolve runtime issues.
• Implement Kubernetes operational best practices around security, reliability, and scalability.

AWS Operations & Governance

• Support AWS account administration, IAM, networking, and infrastructure management.
• Implement and maintain AWS governance guardrails, security controls, and access policies.
• Ensure compliance with organizational standards for cloud infrastructure.
• Assist with cloud cost optimization and resource management.
• Partner with security teams to remediate infrastructure risks and vulnerabilities.

Incident Response & Operational Support

• Participate in production incident response and on-call rotations.
• Troubleshoot and resolve complex production issues across AWS and Kubernetes environments.
• Perform root cause analysis and implement corrective actions.
• Support a ticket-driven operational model with a strong focus on responsiveness and customer service.
• Document operational procedures and contribute to knowledge sharing across the team.

Monitoring & Reliability

• Maintain monitoring, logging, and alerting for cloud infrastructure and Kubernetes platforms.
• Proactively identify reliability risks before they impact users.
• Improve observability and operational visibility across the platform.
• Drive continuous improvements to platform uptime and operational efficiency.

Cross-Functional Collaboration

• Partner with engineering teams to troubleshoot application deployment issues.
• Support internal users by resolving infrastructure requests and platform-related issues.
• Collaborate with security, networking, and development teams to deliver reliable cloud services.
• Contribute technical expertise during infrastructure planning and operational improvements.

Required Qualifications

• 5+ years of experience supporting cloud infrastructure in production environments.
• Strong hands-on experience administering production Kubernetes environments, including:
  • Cluster installation and lifecycle management
  • Upgrades and patching
  • Networking (CNI)
  • Ingress controllers
  • Persistent storage
  • RBAC and security
  • Troubleshooting workloads and cluster health
• Strong hands-on experience with AWS services including:
  • IAM
  • VPC
  • EC2
  • EKS
  • Route 53
  • CloudWatch
  • Load Balancers
  • EFS
• Experience implementing AWS governance, IAM policies, and security best practices.
• Strong Linux systems administration skills.
• Experience with Infrastructure as Code (Terraform and Ansible preferred).
• Experience with CI/CD pipelines and deployment automation.
• Experience with monitoring and observability tools such as Datadog or similar.
• Experience supporting production incidents and participating in on-call rotations.
• Strong troubleshooting and root cause analysis skills.
• Excellent communication skills with the ability to work directly with technical and non-technical stakeholders.

Preferred Qualifications

• Experience operating Kubernetes platforms at enterprise scale.
• Experience with GitOps tools such as Argo CD.
• Experience with policy enforcement tools such as Kyverno.
• Experience with container security platforms and vulnerability management.
• AWS Solutions Architect, AWS SysOps Administrator, or Certified Kubernetes Administrator (CKA) certification.
• Experience in regulated or security-conscious environments.

What We're Looking For

We're looking for an engineer who enjoys operating platforms as much as building them. You'll be expected to dive into production issues, troubleshoot Kubernetes clusters, optimize AWS environments, and improve the operational health of our platform every day.

Success in this role means being:

• A hands-on Kubernetes and AWS expert who enjoys solving complex operational problems.
• Customer-focused and responsive to internal users.
• Calm and effective during production incidents.
• Proactive about identifying reliability risks and driving operational improvements.
• Collaborative, accountable, and committed to operational excellence.

This role is ideal for someone who wants to remain deeply technical while having a significant impact on the stability, security, and reliability of a modern cloud platform.

Compensation:

Expected Annual Base Salary $155k-$180k

Actual base salary will be determined by a wide range of factors including but not limited to role, function, level, experience, qualifications and geographic location. In addition to a competitive base salary, this position may be eligible for a discretionary annual bonus based upon factors such as individual impact, team and firm performance. Bain Capital offers a competitive benefits package designed to support employees’ health, financial security, family needs, and overall well-being.

Bain Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.