Cloud DevOps Engineer, Data & Analytics

Company Overview

We are the better way to work in finance. As private equitys value creation partner we sit at the heart of PEwhere sponsors and CFOs meet. Through financial consulting rooted in data technology and AI we help clients drive valuesupporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking togrow come solvecomplexissues alongside1600 finance & technology experts ina supportive collaborativeenvironment.

Backedby premier private equity firms and headquarteredin New York with 11officesaroundtheglobe we are a high-growth entrepreneurial firmlookingforpeoplewhowantto be part of buildingsomethinggreat. Come make your mark.

Data & Analytics

Accordions 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 partner with Private Equity clients and their Portfolio Companies across diverse sectors including Retail CPG Healthcare Media & Entertainment Technology and 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.

About the Role and You

We are hiring aCloud DevOps Engineerto 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.

What Youll Do

• Partner with AI development teams to identify size and design the cloud resources needed to host their solutions.
• Author and maintainTerraformmodules and configurations to provision infrastructure as code across AWS and Azure.
• Build and maintainGitHub Actionsworkflows to automate build test and deployment across isolated testing and production environments.
• Manage software releases through multiple SDLC environments including GitHub 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

You Have:

• AWS experience at enterprise scale designing and operating cloud resources in a production environment.
• Terraformand a strong grasp of infrastructure-as-code practices.
• Proficiency inPython and Bashscripting.
• Hands-on experience withGitHub and GitHub Actions.
• Strong understanding ofnetworking conceptsand communication between cloud-based services.
• Experience withsecurity managementfor deployed cloud services.
• Understanding ofdisaster recoveryprocesses for cloud-based services (backup failover and restoration).
• Demonstrated experience releasing software products through multiple SDLC environments (isolated testing and production).

Nice-to-Have:

• Hands-on experience withMicrosoft Azurealongside AWS.
• Experience supporting AI/ML workloads or data-intensive applications.
• Familiarity with usingAI tools(e.g. coding assistants agents) to automate engineering and operational processes.
• Ability to read and reason about application architecture to advise development teams on hosting and deployment decisions.
• Database experience acrossPostgreSQLSnowflake andNoSQLdatabases.

You Are:

• You work well in atask-based multi-team environment and can context-switch across projects.
• You communicate clearly with developers architects and security engineers.
• You take ownership of infrastructure and deployments end to end.
• You look for opportunities to automate and to raise the bar on reliability and security.

The annual salary for this role ranges from: $195000 to $250000 USD benefits bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate including but not limited to geographic location skill set years and depth of experience education certifications cost of labor and internal equity.

THIS POSTING IS FOR A CURRENT VACANCY AND THE EMPLOYER INTENDS TO FILL THIS POSITION BY October 21 2026.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds perspectives and skills. We do not discriminate on the basis of race color religion marital status age national origin ancestry physical or mental disability medical condition pregnancy genetic information gender sexual orientation gender identity or expression veteran status or any other status protected under federal state or local law.

Please note that as per Accordion policy we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency person or entity.

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