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Remote DevOps Engineer - Senior Vice President

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    United States
  • US
    United States
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About the Role
The
Platform Infrastructure
team at
iCapital
plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of
market agility
and
lean operating principles , with a strong emphasis on quality to meet the ever‑growing demands of our clients.
We are seeking
highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers
with deep expertise in
machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security . This role requires hands‑on experience designing, building, and operating
scalable DevOps and enterprise‑grade MLOps platforms , including
model lifecycle automation, observability, and governance .
As a
Platform Engineer , you will wear multiple hats in a highly visible role, partnering closely with
engineering, security, data, and business teams
to deliver secure, reliable, and highly automated platforms that support both
application and machine‑learning workloads .
Responsibilities
Design, build, and operate
MLOps pipelines
supporting the full ML lifecycle (training, validation, deployment, monitoring).
Enable production workloads for
AI/ML and Generative AI systems , including LLM‑based services.
Develop and maintain
CI/CD pipelines
for AI/ML services and supporting infrastructure.
Build and manage cloud‑native infrastructure on
AWS , with heavy use of
Kubernetes
and containerized workloads.
Automate infrastructure provisioning and configuration using
Infrastructure as Code (Terraform) .
Implement
model versioning, experiment tracking, and artifact management
across environments.
Ensure
reliability, scalability, observability, and cost efficiency
of AI platforms.
Partner with AI/ML engineers to operationalize models and standardize deployment patterns.
Implement
monitoring and alerting
for system health, model performance, and drift.
Enforce
security, compliance, and governance
requirements for AI workloads.
Participate in
incident response, root cause analysis, and continuous improvement
initiatives.
Document standards, best practices, and reference architectures for MLOps and AI infrastructure.
Required Qualifications
15+ years
of experience in DevOps, SRE, or Platform Engineering, with
AWS
as a primary cloud.
Experience supporting
machine learning systems in production , including deployment and monitoring concerns.
Hands‑on experience with
machine learning platforms , particularly
AWS SageMaker
(required).
Strong hands-on experience with
Kubernetes , containerized workloads, and cloud networking.
Proven experience building and operating
CI/CD pipelines
(e.g., GitLab CI, ArgoCD).
Strong proficiency with
Terraform
and scripting/programming in
Python
or similar languages.
Solid Linux, systems, and troubleshooting fundamentals.
Excellent communication skills and ability to work across teams.
Direct experience with
MLOps platforms and tooling
(model registries, experiment tracking, feature stores).
Exposure to
Generative AI / LLM workloads
in production environments.
Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage).
Experience operating in
regulated or fintech environments .
Background in cost optimization for compute‑intensive workloads.
Strong
written and verbal communication skills .
AWS certifications
are a plus.
Benefits
The base salary range for this role is $180,000 to $230,000 depending on experience.
iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics
  • United States

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  • English
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