Senior Cloud Engineer - GenAI Platform Engineering

SANS Consulting Services, Inc.; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

SANS Consulting Services, Inc. seeks an experienced Tech Lead for Global Markets GenAI Technology in New York. You will architect and deploy a scalable GenAI platform across AWS, Azure, and GCP, leading CI/CD and containerized workloads in production.

This role requires collaboration across global teams and regulatory awareness. Responsibilities include defining the tool stack, enabling CI/CD, and delivering end-to-end features with high code performance.

Qualifications

• 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles.
• Strong hands-on experience with AWS, Azure, and/or GCP (multi-cloud preferred).
• Experience with infrastructure-as-code and CI/CD pipelines.
• Designing and operating containerized workloads in production cloud environments.
• Scaling strategies, performance tuning, and cloud-native architectures.
• Experience in regulated enterprise environments (financial services preferred).

Responsibilities

• Defines the technology tool stack for GenAI platform and evaluates testing practices.
• Ensures CI/CD capabilities across teams and optimizes pipelines.
• Guides design and best practices for high code performance and reviews.
• Delivers end-to-end features for one or multiple teams at program level.
• Builds and operates cloud infrastructure across AWS, Azure, and GCP.

Skills

Multi-cloud engineering

CI/CD pipelines

Kubernetes

Observability & SRE

Solution architecture

Education

Bachelor Degree

Tools

AWS

Azure

GCP

Terraform

Kubernetes

Job description

Please note this is full-time only for US Citizens or Green Card holders.. KINDLY NO 3rd prty resumes.

Location: Onsite: first 6 months = 4 days onsite/ 1 day remote after 6 months = may be 3 days onsite, New York, NY, US

Job Description:

Job Profile Summary:

Global Markets GenAI Technology is a fast-growing global team with locations in New York City, Charlotte, London, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Global Markets GenAI Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout global generative AI platform.

The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution
• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews
• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
• Works with stakeholders to establish high-level solution needs and with architects for technical requirements
• Build and operate the cloud infrastructure layer for the GenAI platform across AWS, Azure, and GCP, enabling secure and scalable deployment of agent-based applications, APIs, and model-serving workloads.
• Design, implement, and manage containerized environments (Kubernetes and managed services such as EKS, AKS, GKE)
• Develop and maintain scalable deployment and release pipelines
• Engineer highly scalable cloud architectures

Required Qualifications:

7+ years in cloud engineering, platform engineering, or DevOps/SRE roles

Strong hands-on experience with:

• AWS, Azure, and/or GCP (multi-cloud experience preferred)
• infrastructure-as-code and CI/CD pipelines

Proven experience designing and operating:

• containerized workloads in production cloud environments
• scaling strategies (autoscaling, load balancing, horizontal scaling)
• performance tuning and system optimization
• cloud-native architectures and microservices

Experience with:

• observability tools (metrics, logging, distributed tracing)
• reliability engineering (high availability, fault tolerance, disaster recovery)

Desired Qualifications:

Experience supporting AI/ML or GenAI workloads, including:

• model inference endpoints and API gateways
• high-throughput, low-latency serving systems

Familiarity with:

• vector databases, data pipelines, or retrieval-based architectures
• scaling patterns for compute-intensive workloads

Experience in:

• regulated enterprise environments (financial services preferred)
• shared, multi-tenant platform environments supporting multiple teams

Skills:

• Technical Strategy Development
• Architecture
• Business Acumen
• Analytical Thinking
• Solution Delivery Process

Minimum Education Requirements:

Bachelor Degree or Equivalent Professional Experience