Cloud DevOps Engineer, Data & Analytics

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Accordion's Data & Analytics (D&A) team offers cutting‑edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

We are hiring a Cloud Dev Ops Engineer to support a growing portfolio of AI development teams. This is a hands‑on, task‑based role at the intersection of software engineering, cloud infrastructure, and security. You will partner directly with development teams to identify the right cloud resources to host their solutions, script and provision that infrastructure as code, and deploy it reliably across the full software development lifecycle.

The ideal candidate is equally comfortable reading application architecture, writing Terraform, scripting automation, and reasoning about networking and security. You are not just maintaining pipelines — you are enabling multiple teams to ship AI products safely and quickly across AWS and Azure.

• Partner with AI development teams to identify, size, and design the cloud resources needed to host their solutions.
• Author and maintain Terraform modules and configurations to provision infrastructure as code across AWS and Azure.
• Build and maintain Git Hub Actions workflows to automate build, test, and deployment across isolated, testing, and production environments.
• Manage software releases through multiple SDLC environments, including Git Hub and cloud‑based environments for isolated releases, testing, and production.
• Write scripts and tooling (Python, Bash) to automate repetitive operational work, and leverage AI tools to accelerate that automation.
• Collaborate with the security team to identify threats to deployed cloud services and drive them to resolution.
• Contribute hands‑on engineering: read and understand architecture, write code, and improve the developer experience for the teams you support.
• Travel to client site as needed

• AWS experience at enterprise scale — designing and operating cloud resources in a production environment.
• Terraform and a strong grasp of infrastructure‑as‑code practices.
• Proficiency in Python and Bash scripting.
• Hands‑on experience with Git Hub and Git Hub Actions
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• Strong understanding of networking concepts and communication between cloud‑based services.
• Experience with security management for deployed cloud services.
• Understanding of disaster recovery processes for cloud‑based services (backup, failover, and restoration).
• Demonstrated experience releasing software products through multiple SDLC environments (isolated, testing, and production).

• Hands‑on experience with Microsoft Azure alongside AWS.
• Experience supporting AI/ML workloads or data‑intensive applications.
• Familiar it…