Kraken - Site Reliability Engineer, AI Agents

Building the Future of Crypto

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

What makes us different?

Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

Become a Krakenite and build the future of crypto!

The Team

Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

The AI Infrastructure team sits within the Data organization and is responsible for building, operating, and scaling the systems that power AI agents in production — both internal tools and external-facing products. Working closely with the AI and Agent Systems teams, this group ensures that the orchestration, execution, and model-serving layers underpinning agentic workflows are reliable, observable, and built to scale.

This team operates at the intersection of data infrastructure and applied AI — a space that moves fast and demands engineers who can bring production discipline to emerging technology. You’ll partner across Data Engineering, ML, and product-facing teams to harden agent infrastructure and keep it running at the standards our users expect.

Importantly, this is a platform engineering team. Beyond operating infrastructure, the team is responsible for building the APIs, SDKs, and platform capabilities that enable AI, Data, and Engineering teams to safely and efficiently consume agent infrastructure as a service. Success in this role requires thinking beyond infrastructure operations and toward developer experience, platform adoption, and long-term scalability.

The Opportunity

Design, build, and operate the infrastructure layer supporting AI agent workflows in production
Ensure reliability, scalability, and observability of agentic systems across internal and external products
Design and develop platform services, APIs, SDKs, and self-service capabilities that allow engineering teams to easily consume AI infrastructure and agent platform services
Manage and maintain the compute, orchestration, and serving infrastructure powering model inference and agent execution
Implement robust monitoring, alerting, and incident response procedures tailored to AI/ML workloads
Utilize Infrastructure as Code (IaC) tools such as Terraform to provision and manage cloud (AWS) infrastructure components
Build and maintain CI/CD pipelines that support rapid, reliable deployment of AI services and agent workflows
Define and implement guardrails, failure handling, and recovery patterns specific to agentic and LLM-powered systems
Collaborate with AI and Data Engineering teams to translate experimental agent prototypes into hardened production systems
Manage containerized workloads using Kubernetes, ensuring efficient deployment, scaling, and orchestration of AI services
Implement access controls and security best practices across AI infrastructure environments
Document architecture, runbooks, and best practices to support knowledge sharing across the team

What You Bring

5+ years of experience as a Site Reliability Engineer, Infrastructure Engineer, Platform Engineer, or similar role in a production environment
Hands-on experience supporting ML infrastructure, model serving, or MLOps workflows in production
Experience building developer platforms, internal tooling, APIs, or SDKs consumed by engineering teams at scale
Strong understanding of platform engineering principles, including developer experience, self-service infrastructure, and API-driven platform design
Proficiency with Infrastructure as Code tools, particularly Terraform
Experience with containerization and orchestration, particularly Kubernetes and Docker
Solid understanding of cloud infrastructure, preferably AWS
Strong scripting skills (bash/shell) and proficiency in at least one programming language (Python preferred)
Experience designing and operating observability, monitoring, and alerting systems
Experience implementing incident response procedures and participating in on-call rotations
Strong collaboration skills working across data, AI, and engineering teams
High ownership mindset in a fast-moving, high-stakes production environment

Nice to Haves

Experience building or operating infrastructure for agent-based or LLM-powered systems
Familiarity with agent orchestration frameworks (e.g., LangGraph, CrewAI, or similar)
Background in data infrastructure, including familiarity with Airflow, Kafka, Spark, or data lake tooling
Experience with CI/CD pipelines and deployment automation for AI/ML workloads
Exposure to evaluation frameworks and model performance monitoring at scale
Experience working in fast-moving 0→1 environments or platform-building teams
Experience building SDKs, developer tooling, or internal platform products with a strong focus on usability and adoption
Experience with Cloudflare’s cloud platform and product ecosystem, including networking, security, performance, and Zero Trust solutions