At a Glance
- Tasks: Design and maintain AI platforms, ensuring security and scalability.
- Company: Join MUFG Investor Services, a leader in asset servicing with global reach.
- Benefits: Competitive salary, remote work options, and professional growth opportunities.
- Other info: Collaborate with top experts in a dynamic, innovative environment.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 5+ years in Platform Engineering/DevOps with strong coding skills.
The predicted salary is between 70000 - 90000 € per year.
MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape.
We are seeking a highly skilled MLOps / Platform Engineer with a strong background in DevOps workflows and platform engineering best practices to join our AI initiative. This is a high-visibility project focused on deploying and managing AI agents across our infrastructure. You will work closely with the Research & Data Science team, backend and frontend engineers, and other technical teams to build a secure, scalable, and cost-optimized platform for AI workloads. This position supports AI Engineering and Data Science initiatives by focusing on infrastructure, operations, and platform reliability.
The Platform Engineer will work closely with AI Engineers and Data Scientists to ensure they have robust, scalable infrastructure to deploy their work.
Responsibilities- Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways.
- Implement and manage observability using OpenTelemetry for logs and traces, integrating with Datadog.
- Ensure security, high availability, and cost optimization across all AI platform components.
- Provide infrastructure and deployment support to AI researchers and engineering teams, enabling integration of cutting‑edge technologies into production.
- Perform load testing, token cost measurement, and optimize resource utilization.
- Facilitate external vulnerability assessments and ensure compliance with security best practices.
- Troubleshoot and resolve platform issues promptly to maintain operational stability.
- Contribute to DevOps workflows, CI/CD pipelines, and automation for AI deployments.
- Support evaluation of third‑party products related to hosting AI agents or enhancing project capabilities.
- Assist in external audits and maintain documentation for platform architecture and processes.
- Develop and execute automation scripts using the AWS Boto3 SDK to deploy, test, and validate AI platform components across multiple environments.
- Implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud resources for AI workloads, ensuring consistency and scalability.
- 5+ Years of experience in Platform Engineering / DevOps practice.
- Deep understanding of DevOps principles, workflows, and best practices.
- Proven experience in platform engineering and full‑stack development.
- Proficiency in API design and integration.
- Hands‑on experience with AWS services.
- Familiarity with OpenTelemetry, Datadog, and observability tooling.
- Solid coding skills in languages commonly used for backend and automation (e.g., Python, Node.js, Go).
- Knowledge of microservices, container orchestration (Kubernetes/EKS), and cloud‑native architectures.
- Extensive knowledge of security practices, cost optimization, and performance testing.
- Interest and familiarity with latest trends in MCPs (Model Context Protocol) and AI agent frameworks.
- Working with AI/ML platforms or deploying AI agents in production environments.
- Exposure to high‑scale distributed systems and cloud infrastructure.
- Experience in observability and monitoring for complex systems.
- AWS certifications.
High visibility within the organization. Opportunity to work with cutting‑edge AI technologies and collaborate with leading experts.
Senior MLOps Engineer employer: Mufg Investorservices
MUFG Investor Services is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among talented professionals. With a strong focus on employee growth, you will have the opportunity to work on high-visibility AI initiatives while benefiting from the stability and resources of one of the world's largest financial institutions. Our culture promotes continuous learning and development, ensuring that you are well-equipped to tackle the challenges of the evolving investment management landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to MLOps. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience in platform engineering and AI. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior MLOps Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior MLOps Engineer role. Highlight your experience in DevOps workflows and platform engineering, and don’t forget to mention any relevant projects or technologies you've worked with that align with our AI initiative.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills can contribute to our mission at MUFG Investor Services. Keep it concise but impactful, and let your personality show through.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include specific examples of your experience with AWS, OpenTelemetry, and any coding languages you’re proficient in. This will help us understand how you can hit the ground running in our team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do and our company culture.
How to prepare for a job interview at Mufg Investorservices
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services, OpenTelemetry, and Terraform. Brush up on your coding skills in Python or Node.js, as you might be asked to solve a problem on the spot.
✨Showcase Your DevOps Experience
Prepare to discuss your previous experience with DevOps workflows and platform engineering. Be ready to share specific examples of how you've implemented CI/CD pipelines or automated processes in past roles, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Familiarise yourself with MUFG Investor Services and their AI initiatives. Understanding their operational complexities and how your role as a Senior MLOps Engineer fits into their broader goals will show that you’re not just technically capable but also aligned with their mission.
✨Prepare Questions for Them
Have insightful questions ready about their AI projects, team dynamics, or future technology plans. This shows your genuine interest in the role and helps you assess if the company culture and objectives align with your career aspirations.
