Arkestros Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations. It moves teams away from reactive supplier bidding toward data-driven offers that reduce friction and help both buyers and suppliers reach better outcomes faster.

Arkestro helps procurement teams influence more enterprise spend and uncover savings that traditional sourcing approaches often leave behind by applying predictive intelligence to how sourcing events are designed and executed.

We’re a hyper-growth company looking for people who take ownership and are comfortable working through complexity. This is a tremendous opportunity if you want to do meaningful work and help shape how large enterprises run procurement… Arkestro is a place where you can have a big impact. See Arkestro in action at arkestro.com.

About the Role

Arkestro is hiring for a Senior SRE Engineer to manage our performance and reliability for our software platform and infrastructure. The right candidate will own and develop our infrastructural components. They will be responsible for managing the deployment of product updates, identifying production issues, and improving infrastructure across the platform. They will collaborate with software engineers, data scientists, data engineers, as well as product managers and other functions across the company.

Responsibilities:

• Building and setting up new development tools and infrastructure
• Working on ways to automate and improve development and release processes
• Management of existing cloud infrastructure
• Document and act as subject matter expert for practices and policies involving infrastructure
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement
• Provide primary operational support and engineering for distributed software applications
• Continuously integrate production context back into the development lifecycle, ensuring the system learns from past incidents to prevent recurring issues

An ideal candidate has:

• 5+ years of experience with various AWS products, like S3, RDS, Elastic Containers, etc
• 5+ years of experience with Kubernetes or other orchestration products
• 3+ years of experience with Infrastructure as Code
• 3+ years of experience with using observability platforms and log management, like Datadog, Splunk, Rigor, etc
• 6 months+ of experience working with LLMs, prompt engineering, harness engineering, or AIOps tooling
• 6 months+ of SDLC AI native usage via Claude Code, Claude Cowork or similar
• Excellent communications skills, the ability to learn on the fly, and a desire for ownership