Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.
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 opportunityDesign, 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
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
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
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
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Skills Required
- 5+ years of experience as a Site Reliability Engineer, Infrastructure Engineer, Platform Engineer, or similar role in production
- 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
- 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)
- 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
- 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
Kraken Digital Asset Exchange Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kraken Digital Asset Exchange and has not been reviewed or approved by Kraken Digital Asset Exchange.
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Fair & Transparent Compensation — Pay is considered competitive for many roles, with strong total compensation reported for in‑demand technical and senior positions. Market‑aligned packages are highlighted across key functions, indicating the ability to reach top‑of‑market for certain hires.
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Equity Value & Accessibility — Equity grants are available for most roles, complemented by bonus programs and the option to receive a portion of pay in crypto. This ownership‑oriented design is positioned as part of the standard total compensation approach.
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Flexible Benefits — A remote‑first operating model, flexible time off, and a remote‑workstation setup bonus emphasize autonomy and location flexibility. Core benefits are framed to support distributed work across multiple regions.
Kraken Digital Asset Exchange Insights
What We Do
Kraken is one of the world’s longest-standing and most secure crypto platforms. Our mission is to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. Globally, Kraken clients trade more than 200 digital assets and 6 different national currencies, including GBP, EUR, USD, CAD, CHF, and AUD. Kraken was founded in 2011 and was one of the first platforms to offer spot trading with margin,, staking, regulated derivatives and index services. Trusted by over 10 million individuals, traders and institutions around the world, Kraken offers professional 24/7/365 client support along with one of the fastest, most performant trading platforms available. Kraken has set the industry standard for transparency and client trust, and was the first crypto platform to conduct Proof of Reserves. In 2024, Kraken ranked 12th in Newsweek's Global Top 100 list of Most Loved Workplaces. This recognition reflects our ongoing commitment to providing a flexible workplace that prioritizes wellbeing and career development. Kraken prioritizes client-centricity, security, and superior products, valuing merit and encouraging bold ideas within a transparent communication framework. Kraken offers a flexible, asynchronous, and globally remote work culture, allowing its employees (aka Krakenites) to balance team and personal needs. Kraken provides diverse learning and development programs, enabling Krakenites to chart their own professional paths in the crypto industry. Benefits include globally competitive compensation (with crypto payment options), flexible time off, wellness perks, and annual team retreats. Kraken's collaborative culture promotes authenticity, humility, and respect, encouraging candid interactions and valuing diverse perspectives from its global team. Crypto conviction is central to Kraken's ethos, driving product and service development. The company views challenges as opportunities for creative problem-solving, remaining adaptable in the fast-paced crypto industry. Kraken seeks individuals with an entrepreneurial spirit and a curious, self-starting approach to complex problems. The company fosters a culture of accountability and clear communication, valuing critical feedback for continuous improvement. Overall, Kraken's EVP reflects its commitment to building a bridge from traditional finance to crypto, both in its broader mission and in supporting employees transitioning to crypto careers.
Why Work With Us
Work at Kraken to be part of a mission-driven crypto revolution. Enjoy a flexible, remote-first culture that values bold ideas. Grow your career with competitive benefits and diverse learning opportunities. Join a collaborative team that embraces innovation, accountability, and globally inclusive perspectives.
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