AVP​/VP, Cloud & Software Architect

Position Type (Core/Consultant/BOD): Core

Time Commitment: Full-Time

Established in 1992, Cerberus Capital Management, L.P., together with its affiliates, is one of the world's leading private investment firms. Through its team of investment and operations professionals, Cerberus specializes in providing both financial resources and operational expertise to help transform undervalued and underperforming companies into industry leaders for long‑term success and value creation. Cerberus holds controlling or significant minority interests in companies around the world.

Cerberus Technology Solutions is an operating company and subsidiary of Cerberus Capital Management. We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision‑making.

We operate with the creativity and agility of a small team, tackling diverse, high‑impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

We are seeking a hands‑on Cloud / Software Engineering Lead to design, build, and support scalable technology platforms across cloud, application, data, and infrastructure environments. This role requires strong technical breadth across public cloud providers, software engineering, distributed computing, advanced Linux operating systems, containerization and Kubernetes‑based hosting platforms, server administration, networking, storage, web application development, database design, modern AI‑enabled engineering practices, and technology project delivery.

The ideal candidate should be well versed in multiple database technologies, including time‑series, OLTP, and OLAP systems, and should understand their internal workings from first principles. They should also be able to leverage modern AI capabilities to increase the velocity, quality, and consistency of software development and delivery.

• Design, develop, and support cloud‑based solutions across Azure, Google Cloud Platform, and AWS environments.
• Design distributed systems with expertise in scalability, fault tolerance, latency optimization, and cost efficiency. Ability to evaluate architectural trade‑offs (consistency vs. availability, monolithic vs. microservices, synchronous vs. asynchronous patterns) and drive decisions based on business and technical constraints.
• Build and maintain software solutions using Python and other modern programming languages.
• Apply advanced Linux operating system knowledge to administer, troubleshoot, tune, and secure compute environments across development, test, and production systems.
• Design, deploy, and operate containerized hosting solutions using Kubernetes for scalable, resilient, and secure application workloads.
• Develop and operate distributed computing solutions, including platforms such as Apache Spark.
• Design and evaluate database architectures across time‑series, OLTP, and OLAP workloads, selecting the right technology based on workload patterns, data volume, ingestion velocity, query access patterns, consistency needs, and operational constraints.
• Apply first‑principles understanding of database internals, including indexing, partitioning, storage layout, query execution, transactions, concurrency, compression, aggregation, and…