A fixed-scope engineering service that builds secure, auditable deployment pipelines for banks and enterprise AI vendors.
Added Jul 30, 2026
Banks and enterprise AI providers need to release applications, infrastructure, and models without compromising reliability, security, or auditability. Their environments often span cloud accounts, Kubernetes clusters, on-premises systems, and multiple regions, making pipeline implementation difficult to staff and standardize.
Provide a productized assessment and implementation engagement that maps one production workload, designs its controls, and builds the deployment pipeline through release and rollback testing. Delivery includes infrastructure configuration, monitoring, security gates, operating documentation, and training for the buyer's engineering team.
Banks are modernizing application delivery while also introducing AI model deployment requirements. The repeated hiring for senior DevOps? and MLOps? ownership indicates an immediate shortage of practitioners who can implement reliable pipelines in regulated, hybrid environments.
Showing 1-5 of 5 signals
As a DevOps Engineer at JPMorgan Chase within the Corporate and Investment Banking Electronic Market Making team, you will help support the reliability, automation, and operational efficiency of a high-performance, latency-sensitive trading platform. You will work with senior engineers to maintain infrastructure, tooling, and deployment pipelines that enable teams across multiple global regions to build, test, and release with confidence. Your work will contribute to the uptime, performance, and scalability of systems operating in live financial markets.
As part of this strategic initiative, we are looking for an experienced AI DevOps Engineer / MLOps Engineer to build, automate, and manage AI model deployment pipelines, enabling secure, scalable, and reliable delivery of AI solutions across the bank.
We’re looking for a Senior DevOps Engineer to own and evolve the infrastructure powering Maven AGI’s AI platform. You’ll design, build, and operate production systems across cloud providers, Kubernetes clusters, on-premises environments, and CI/CD pipelines, ensuring our platform scales reliably as we onboard enterprise customers with complex deployment and security
+4 more signals