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Gridmatrix

Sr. Data Scientist

Job Posted 20 Days Ago Posted 20 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
This role involves developing and managing data pipelines, optimizing cloud infrastructure, and collaborating with cross-functional teams to enhance data solutions.
The summary above was generated by AI

Cloud Engineer

The Company

At GridMatrix, we are the market-leading builders of next-generation digital infrastructure. We’re

a fast growing startup working with cities globally, making them more efficient, safer, and

sustainable. You can read more about our recent work in Bloomberg, the Associated Press, and

Government Technology.

About the Role:

GridMatrix is seeking an experienced Senior Cloud Engineer to collaborate closely with our

perception, data science, and UI engineering teams to refine and optimize our data pipeline and

cloud infrastructure. This role involves hands-on deployment of customer pipelines, overseeing

architecture for optimal cost and performance, and assessing the impact of new features to

drive company goals. This role is ideal for a proactive engineer passionate about real-time

machine learning, efficient cloud solutions, and end-to-end architecture management.

Key Responsibilities:

● Develop, deploy, and manage data pipelines tailored to meet customer requirements.

● Optimize cloud infrastructure for cost efficiency, scalability, and performance.

● Collaborate with cross-functional teams to implement and measure new features within

the cloud and data pipeline environment.

● Implement robust and secure data storage solutions, balancing edge and cloud

resources.

● Manage secondary cloud storage providers for archival storage solutions.

● Ensure cloud services are aligned with enterprise standards and best practices for

availability and resilience.

Required Skills & Qualifications:

Technical Skills:

● Real-Time Machine Learning Solutions: Demonstrated experience with building

real-time machine learning applications, ideally within AWS.

● Cloud Infrastructure Management: 4–6 years of experience in a cloud engineering

role, with hands-on AWS and enterprise cloud experience.

● Edge and Cloud Storage: Knowledge of hybrid cloud storage solutions to balance

latency and accessibility requirements.

● Secondary Cloud Providers: Proficiency in configuring secondary cloud providers for

long-term, archival storage.

● Database Proficiency: Strong understanding of database technologies, including

PostgreSQL, MySQL, and Cassandra, as well as caching mechanisms to optimize data

retrieval.

● Containerization and Orchestration: Familiarity with Docker and Kubernetes is a plus.

Project Management Skills:

● Bias for Action: Takes initiative and exhibits a proactive approach to problem-solving.

● Deadline-Oriented: Demonstrates a commitment to meeting project timelines and

delivering quality results on schedule.

● Communication & Reporting: Strong skills in documenting and reporting project status

and milestones to stakeholders.

Minimum Qualifications:

● Educational Background: BA/BS in an analytical discipline. MS in mathematics,

computer science, data science, or equivalent work experience is preferred.

● Experience Areas: 4-6 years of experience in cloud engineering, with experience in

industries such as IoT, quantitative finance, ad-sales analytics, payments processing, or

related fields.

GridMatrix provides equal employment opportunities to all employees and applicants for

employment and prohibits discrimination and harassment of any type without regard to race, color,

religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual

orientation, gender identity or expression, or any other characteristic protected by federal, state or

local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring,

placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and

training.

Top Skills

AWS
Cassandra
Docker
Kubernetes
MySQL
Postgres

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