Verticalmove, Inc
Senior Software Engineer - Platform AI Infrastructure
Verticalmove, Inc, San Francisco, California, United States, 94199
Senior Software Engineer - Platform AI Infrastructure
ATTN - PLEASE READ CAREFULLY: WE CAN NOT SPONSOR NEW VISAS OR TRANSFER EXISTING VISAS. AT THIS TIME WE'RE ONLY CONSIDERING US CITIZENS OR GC HOLDERS.
100% REMOTE - HOWEVER WE REQUIRE OUR TEAM TO BE CO-LOCATED IN THE SAN FRANCISCO BAY AREA FOR THE OCCASIONAL DESIGN MEETING WITH THE TEAM. IF YOU ARE NOT LOCATED IN THE SAN FRANCISCO BAY AREA YOUR RESUME WILL NOT BE CONSIDERED
Picture a company redefining how life sciences harness data — one that turns the noise of fragmented scientific systems into the clarity that accelerates discovery, development, and ultimately, human progress.
This
Scientific Data Cloud pioneer
has built a cloud-native ecosystem engineered specifically for the life sciences, connecting laboratory instruments, informatics systems, and analytics applications into a single, intelligent network. The result: harmonized, actionable scientific data that transforms R&D velocity and precision across discovery and development.
Trusted by the world’s leading biopharma innovators, their open platform serves as the digital nervous system for scientific operations — empowering researchers and partners to unlock insights at unprecedented scale.
Think of it as
the Palantir of Life Sciences
— designed not just to visualize complexity, but to
ingest and process petabytes of scientific data
through
advanced taxonomies and ontologies
that bring structure, context, and meaning to an otherwise chaotic scientific landscape.
Through deep collaborations with global leaders in cloud computing and AI, this company is building the foundation for a new era of
Scientific Intelligence
— one where every experiment, every dataset, and every discovery is connected, contextualized, and exponentially more powerful than before.
We’re looking for experienced
Senior Platform Engineers
with deep expertise in distributed systems, high availability, and large-scale data engineering in cloud-native environments.
Your mission: build a next-generation AI platform that empowers scientists and engineers to operationalize advanced machine learning models at global scale.
This company operates at the intersection of
life sciences, cloud computing, and AI , transforming how scientific data is collected, harmonized, and activated. Their cloud-native platform unifies data from complex laboratory and informatics systems into a single, intelligent framework — unlocking faster, more reproducible breakthroughs in discovery and development.
Trusted by the world’s leading biopharma innovators, this organization is shaping the future of
Scientific Intelligence , enabling researchers to leverage petabyte-scale data pipelines, advanced ontologies, and AI-driven analytics to accelerate progress from lab to life.
What You’ll Do As a Senior Platform Engineer , you’ll help architect and build our client’s
proprietary, next-generation AI platform
— their own internal equivalent to
AWS SageMaker . This platform will serve as the foundation for developing, training, and deploying advanced AI models across global scientific and biopharma environments.
Much like SageMaker, which provides a fully managed environment for machine learning, this system will enable teams to:
Rapidly build, train, and deploy
AI models at scale,
Seamlessly
integrate data pipelines
for high-volume ingestion and transformation, and
Deliver
secure, reliable, and production-grade AI workflows
across distributed cloud infrastructure.
You’ll collaborate across data, AI, and engineering teams to design resilient systems that power the company’s most ambitious machine learning and scientific data initiatives — enabling automation, scalability, and operational excellence
at the intersection of AI and life sciences.
Responsibilities
Architect, build, and maintain
cloud-native infrastructure
for AI and data workloads using platforms like Databricks and AWS Bedrock.
Develop scalable
data pipelines
to ingest, transform, and serve data for ML, analytics, and scientific applications.
Implement
infrastructure-as-code
using tools such as CloudFormation and AWS CDK to ensure consistency and security.
Partner with AI engineers and data scientists to optimize model deployment, monitoring, and performance.
Lead
observability best practices , including advanced monitoring, alerting, and logging across AI systems.
Evolve the AI platform to support emerging frameworks, data modalities, and use cases.
Research and recommend
cutting-edge tools
and approaches to improve scalability, cost-efficiency, and speed.
Integrate AI and
LLM-based architectures
(e.g., retrieval-augmented generation) into production environments.
What You Bring Preferred Experience
Familiarity with emerging
LLM orchestration frameworks
(e.g., DSPy) for complex prompt pipelines.
Experience with
vector databases / embedding stores
(e.g., OpenSearch, Pinecone) for semantic search and retrieval.
Understanding of
LLM cost optimization, latency reduction,
and usage analytics at scale.
Required Experience
7+ years of professional experience in
software or infrastructure engineering , including production AI systems.
Proven expertise in
building and maintaining ML infrastructure , including model deployment, lifecycle management, and automation.
Deep knowledge of
AWS
and modern infrastructure-as-code frameworks (ideally CDK).
Expert-level proficiency in
TypeScript
and
Python
for backend and API development.
Hands-on experience with
Databricks MLFlow , including model registration, versioning, and serving.
Strong understanding of
containerization (Docker) ,
CI/CD pipelines , and orchestration tools (e.g., ECS).
Demonstrated ability to design secure, scalable, and fault-tolerant infrastructure for real-time and batch AI workloads.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Verticalmove, Inc by 2x
Get notified about new Senior Software Engineer jobs in
San Francisco Bay Area .
#J-18808-Ljbffr
100% REMOTE - HOWEVER WE REQUIRE OUR TEAM TO BE CO-LOCATED IN THE SAN FRANCISCO BAY AREA FOR THE OCCASIONAL DESIGN MEETING WITH THE TEAM. IF YOU ARE NOT LOCATED IN THE SAN FRANCISCO BAY AREA YOUR RESUME WILL NOT BE CONSIDERED
Picture a company redefining how life sciences harness data — one that turns the noise of fragmented scientific systems into the clarity that accelerates discovery, development, and ultimately, human progress.
This
Scientific Data Cloud pioneer
has built a cloud-native ecosystem engineered specifically for the life sciences, connecting laboratory instruments, informatics systems, and analytics applications into a single, intelligent network. The result: harmonized, actionable scientific data that transforms R&D velocity and precision across discovery and development.
Trusted by the world’s leading biopharma innovators, their open platform serves as the digital nervous system for scientific operations — empowering researchers and partners to unlock insights at unprecedented scale.
Think of it as
the Palantir of Life Sciences
— designed not just to visualize complexity, but to
ingest and process petabytes of scientific data
through
advanced taxonomies and ontologies
that bring structure, context, and meaning to an otherwise chaotic scientific landscape.
Through deep collaborations with global leaders in cloud computing and AI, this company is building the foundation for a new era of
Scientific Intelligence
— one where every experiment, every dataset, and every discovery is connected, contextualized, and exponentially more powerful than before.
We’re looking for experienced
Senior Platform Engineers
with deep expertise in distributed systems, high availability, and large-scale data engineering in cloud-native environments.
Your mission: build a next-generation AI platform that empowers scientists and engineers to operationalize advanced machine learning models at global scale.
This company operates at the intersection of
life sciences, cloud computing, and AI , transforming how scientific data is collected, harmonized, and activated. Their cloud-native platform unifies data from complex laboratory and informatics systems into a single, intelligent framework — unlocking faster, more reproducible breakthroughs in discovery and development.
Trusted by the world’s leading biopharma innovators, this organization is shaping the future of
Scientific Intelligence , enabling researchers to leverage petabyte-scale data pipelines, advanced ontologies, and AI-driven analytics to accelerate progress from lab to life.
What You’ll Do As a Senior Platform Engineer , you’ll help architect and build our client’s
proprietary, next-generation AI platform
— their own internal equivalent to
AWS SageMaker . This platform will serve as the foundation for developing, training, and deploying advanced AI models across global scientific and biopharma environments.
Much like SageMaker, which provides a fully managed environment for machine learning, this system will enable teams to:
Rapidly build, train, and deploy
AI models at scale,
Seamlessly
integrate data pipelines
for high-volume ingestion and transformation, and
Deliver
secure, reliable, and production-grade AI workflows
across distributed cloud infrastructure.
You’ll collaborate across data, AI, and engineering teams to design resilient systems that power the company’s most ambitious machine learning and scientific data initiatives — enabling automation, scalability, and operational excellence
at the intersection of AI and life sciences.
Responsibilities
Architect, build, and maintain
cloud-native infrastructure
for AI and data workloads using platforms like Databricks and AWS Bedrock.
Develop scalable
data pipelines
to ingest, transform, and serve data for ML, analytics, and scientific applications.
Implement
infrastructure-as-code
using tools such as CloudFormation and AWS CDK to ensure consistency and security.
Partner with AI engineers and data scientists to optimize model deployment, monitoring, and performance.
Lead
observability best practices , including advanced monitoring, alerting, and logging across AI systems.
Evolve the AI platform to support emerging frameworks, data modalities, and use cases.
Research and recommend
cutting-edge tools
and approaches to improve scalability, cost-efficiency, and speed.
Integrate AI and
LLM-based architectures
(e.g., retrieval-augmented generation) into production environments.
What You Bring Preferred Experience
Familiarity with emerging
LLM orchestration frameworks
(e.g., DSPy) for complex prompt pipelines.
Experience with
vector databases / embedding stores
(e.g., OpenSearch, Pinecone) for semantic search and retrieval.
Understanding of
LLM cost optimization, latency reduction,
and usage analytics at scale.
Required Experience
7+ years of professional experience in
software or infrastructure engineering , including production AI systems.
Proven expertise in
building and maintaining ML infrastructure , including model deployment, lifecycle management, and automation.
Deep knowledge of
AWS
and modern infrastructure-as-code frameworks (ideally CDK).
Expert-level proficiency in
TypeScript
and
Python
for backend and API development.
Hands-on experience with
Databricks MLFlow , including model registration, versioning, and serving.
Strong understanding of
containerization (Docker) ,
CI/CD pipelines , and orchestration tools (e.g., ECS).
Demonstrated ability to design secure, scalable, and fault-tolerant infrastructure for real-time and batch AI workloads.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Verticalmove, Inc by 2x
Get notified about new Senior Software Engineer jobs in
San Francisco Bay Area .
#J-18808-Ljbffr