Skills

Communication Python Tableau Slack SQL Data Engineering CI/CD DevOps Kubernetes Monitoring Version Control Test Scrum Problem-solving Training Architecture Cloud Architecture git AWS Confluence Snowflake Data Science Terraform

Job Specifications

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal

Cloud Platform Engineer

Experience:

Strong experience on AWS architecture/administration in production environments.
Solid experience of network and security on cloud-based environments, specifically on AWS services such as VPCs, Security Groups, NACLs and IAM roles.
Deep understanding of CI/CD using tools like Jenkins/ /AWS Code Pipeline/AWS Code Commit
Expertise on Terraform for automated provision of infrastructure.
Experience writing production quality code in Python and SQL.
Experience of building and maintaining distributed platforms to handle high volume of data.
Strong platform-level design, architecture, implementation and troubleshooting skills.
Good understanding of Enterprise patterns and best practices applied to data engineering and data science use cases at scale.
Experience with containers, preferably with AWS ECS and\or Kubernetes.
Lambda build, deployment and managing within private VPC.
Observability and Monitoring using AWS native CloudWatch, Insights and CloudTrail.
Experience with Argo CD for deployment of container applications
Deep understanding of DevOps and tool sets required for a mature DevSecops implementation.

Requirements

Bachelor's degree in computer science, Engineering, or related field.
At least 7 years of experience as a platform engineer, cloud engineer, or similar role.
Strong knowledge of AWS services and cloud architecture.
Proficient in Terraform, Argo, Lambda, ECS, ECR, and CloudWatch.
Expert in Python and Git.
Excellent communication and problem-solving skills.
Passionate about learning new technologies and improving existing ones.

Good To Have:

Worked and managed tools, services, products like Snowflake, Airflow, DBT and SageMaker.
Experience working with AWS Data Service\Platform.
Worked with Jira\Confluence or other SCRUM and document management tools.

Lead Skills:

Able to lead some team of engineers and plan out user stories.
Client interaction and communication to advice client and communicate with non-technical and technical client base.

Task And Responsibilities:

Design, implement, and test cloud infrastructure using DevOps best practices.
Use Terraform and Argo to automate and orchestrate cloud resources.
Develop and deploy serverless applications using Lambda and ECS.
Manage and monitor cloud services using ECR and CloudWatch.
Write clean and efficient code in Python and use Git for version control.
Collaborate with other engineers and stakeholders to deliver high-quality products.
Build and maintain a scalable and reliable cloud platform.

Required P0

General Support / Office Hours

Bi-weekly open office hours for all customers to bring questions and issues
Primary focus on bug resolution in codebase and AWS infrastructure

Enhance Airflow orchestration utility in AWS

Upgrade Airflow to latest version
Increase verbosity of generated logs and errors
Integrate configurable Slack alerting via Apprise

Thoroughly document existing codebase and processes via DP Confluence pages

dbt utility
SageMaker utility
Verify-deps utility
load-Snowflake utility
Run-SQL utility
Extract-bigquery utility
Tableau-refresh utility
API-ingestion utility

Required P0

General Support / Office Hours Bi-weekly open office hours for all customers to bring questions and issues Primary focus on bug resolution in codebase and AWS infrastructure Enhance Airflow orchestration utility in AWS Upgrade Airflow to latest version Increase verbosity of generated logs and errors Integrate configurable Slack alerting via Apprise Thoroughly document existing codebase and processes via DP Confluence pages dbt utility SageMaker utility Verify-deps utility load-Snowflake utility Run-SQL utility Extract-bigquery utility Tableau-refresh utility API-ingestion utility

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geograp

About the Company

Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500(r) companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies. Fractal's businesses include Crux Intelligence (AI driven business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (AI for revenue growth management) and Senseforth.ai (conversational AI for sales and customer service). Fractal incubated Qure.ai, a leading playe... Know more