Kubernetes, Cloud (AWS, Azure, and/or Google), API based development, REST framework, data engineering, and large-scale API Gateway environments etc.

Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements. What you'll do in the role: Operate, monitor, and maintain the infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving) Design and build automation for core platform capabilities, reducing manual toil Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes / container orchestration, etc. Establish, monitor, and enforce SLOs/SLIs/SLAs, error budgets, alerting, and dashboards Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation Perform capacity planning, scaling strategies, workload scheduling, and resource forecasting Optimize cost vs. performance tradeoffs in large-scale compute environments Harden systems for security, compliance, auditability, and data governance Collaborate across teams (cloud engineers, data engineers, infrastructure, security) to ensure safe deployment, rollout, rollback, and integration of new systems Define disaster recovery (DR) strategies, backup/restore practices, fault tolerance mechanisms Maintain runbooks, operational playbooks, documentation, and training materials Participate in on-call rotations and respond to production incidents 24/7 as needed Continuously evaluate and integrate new tools, frameworks, or technologies to enhance platform reliability What you ' ll bring to the role: Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience 5 years of production experience in SRE / Infrastructure / ops for large-scale systems Strong programming/scripting skills (Python, Go, Java, or equivalent) Deep experience with containerization (Docker), orchestration (Kubernetes, etc.) Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.) Familiarity with

GPU / AI

compute clusters, high-performance data storage, and distributed architectures Experience with monitoring / observability / logging / alerting tools (Prometheus, Grafana, ELK / EFK, Datadog, etc.) Networking & systems engineering knowledge (TCP/IP, DNS, routing, load balancing, distributed storage) Solid experience in capacity planning, performance tuning, scaling, and incident response Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improvements Experience in regulated environments (financial services, compliance, audit, security) is a strong plus Excellent communication, documentation, and cross-team collaboration skills Proven track record of reducing operational toil via automation Nice to have Understanding of SRE techniques. Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex. Good knowledge of Microservice based architecture, industry standards, for both public and private cloud. Knowledge of data pipeline technologies (Kafka, Spark, Flink, etc.) Good knowledge of various DB engines (SQL, Redis, Kafka, Snowflake, etc) for cloud app storage. Experience working with Generative AI development, embeddings, fine tuning of Generative AI models. Experience in high-performance computing (HPC), distributed GPU cluster scheduling (e.g. Slurm, Kubernetes GPU scheduling) Understanding of ModelOps/ ML Ops/ LLM Op. Experience with chaos engineering, canary deployments, blue/green rollouts We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services. All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren't just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it

relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences.

Wherever you are in our 1,200 global offices, you'll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. At Morgan Stanley Alpharetta, we support the Firm's global business and functions from Wealth Management and Institutional Securities to Technology and Operations, Finance and Human Resources. With the 2020 acquisition of E-TRADE, Morgan Stanley Alpharetta grew significantly and has grown its role in our Wealth Management business helping deliver a premiere experience for the digitally inclined investor and trader. Learn more about our work and culture in Morgan Stanley Alpharetta. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

WHAT YOU CAN EXPECT FROM MORGAN STANLEY

At Morgan Stanley, we raise, manage and allocate capital for our clients

helping them reach their goals. We do it in a way that's differentiated
and we've done that for 90 years. Our values
putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back
aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.

At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. 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