CAIS is the pioneer in democratizing access to and education about alternative investments for independent financial advisors, empowering them to engage and transact with leading asset managers on a massive scale through a wide variety of alternative investment products and technology solutions. CAIS provides financial advisors with a broad selection of alternative investment strategies, including hedge funds, private equity, private credit, real estate, digital assets, and structured notes. CAIS also delivers industry-leading technology, operational efficiency, and world-class client service throughout the pre-trade, trade, and post-trade experience. CAIS supports over 50,000 advisors who oversee more than $6 trillion in network assets.
CAIS is seeking a Platform Engineer to join our high-performing team responsible for architecting, engineering, and maintaining the foundation of our cloud platform. The team designs and operates AWS infrastructure, manages CI/CD solutions, and builds observability systems that ensure reliability, scalability, and performance across CAIS’s technology ecosystem.
Ideal candidates are experienced in platform management, including source control, SDLC tooling, infrastructure as code, and CI/CD pipelines, with an understanding of how to measure and maintain platform health through effective monitoring and alerting. This is a great opportunity to join a growing team of innovators, problem solvers, and collaborators dedicated to elevating and scaling our platform.
Key Responsibilities:
- Design, build, and operate Kubernetes clusters on Amazon EKS, with an emphasis on reliability, scalability, and security
- Troubleshoot and resolve issues within the Kubernetes environment, including networking, workloads, and cluster operations
- Support the automation and maintenance of AWS infrastructure using infrastructure as code principles
- Implement and manage Role-Based Access Control (RBAC) and least-privilege access across clusters and supporting AWS services
- Collaborate with developers and product teams to improve the efficiency and reliability of deployment workflows
- Contribute to the design and implementation of observability practices, ensuring systems are monitored effectively and meaningful metrics are captured to measure reliability and performance
- Participate in incident response and post-incident reviews to continuously enhance platform resilience and operational maturity
- Help define and implement best practices for platform engineering, including deployment standards, environment consistency, and operational excellence
- Be open to learning and leveraging AI tools and techniques to improve platform reliability, automation, and efficiency
Required Technical Skills / Experience:
- Strong understanding of Kubernetes and hands-on experience operating and troubleshooting clusters in Amazon EKS
- Working knowledge of AWS core services such as IAM, S3, RDS, and networking fundamentals
- Experience implementing infrastructure as code using Terraform or similar tools
- Familiarity with CI/CD concepts and tools, with GitHub Actions preferred
- Experience administering artifact management systems such as Nexus, Artifactory, or equivalent
- Understanding of observability principles including monitoring, logging, metrics, and tracing
- Solid grasp of Git-based workflows and version control best practices
- Foundational understanding of programming concepts; familiarity with languages used by CAIS developers—including Java/Kotlin, JavaScript/TypeScript (React), and Python—is a plus
- Comfortable collaborating with developers and cross-functional teams to support deployment and platform needs
Qualifications:
- Relevant industry experience in cloud infrastructure or platform engineering roles
- Hands-on experience supporting production workloads in AWS and Kubernetes environments
- Strong problem-solving skills with the ability to troubleshoot distributed systems and collaborate across teams
- Excellent communication and documentation skills, with an emphasis on clarity and operational excellence
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Whilst we spend a lot of our time working remotely, we believe there’s no substitute (yet) for in-person collaboration, so we strongly encourage you to be in our London office on a weekly basis to spend time with your colleagues.
CAIS is consistently recognized as a Best Place to Work, and our culture is at the heart of our success. We are committed to fostering an inclusive environment where employees can be their most authentic selves and feel inspired and supported to bring their voice forward to drive community, growth, and innovation. We are an equal opportunity employer, and do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. Learn more about our culture, benefits, and people at https://www.caisgroup.com/our-company/careers.
We use technology, including AI tools, to support parts of our recruitment process such as application screening, interview scheduling, and candidate communications. These tools are used to improve efficiency and consistency, but they do not replace human judgement. All hiring decisions are made by people, and we are committed to fair and unbiased assessment of every candidate.
