Solution Architect Devops - Minas Gerais, Brasil - H2O

Descrição

is the open source leader in AI with a mission to democratize AI for everyone. is transforming
the use of AI with software with its category-creating visionary open source machine learning platform, H2O.
More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance,
Healthcare, Retail, Telco, Sales and Marketing. H2O Driverless AI uses "AI to do AI" in order to provide an
easier, faster and cost-effective means of implementing data science. partners with leading
technology companies such as NVIDIA, IBM, AWS, Intel, Microsoft Azure and Google Cloud Platform and is
proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens
and MarketAxes. For more information and to learn more about how is driving an AI Transformation,
visit
We're looking for an experienced Solution Architect to join our Professional Services team.

You will work closely with technical teams on the customer side and Customer Success, Enterprise Support, Product Engineering and Sales teams on the side.

This role is based in Sao Paolo, Brazil. What You Will Do

• Be the trusted solutions advisor for our customers and partners and deliver technical professional

services to the customer.

• Translate business cases and requirements into value based technical solutions through the

architecture of machine learning workflows and systems from data ingestion to model deployment.

• Architect, design, and deliver end to end machine learning and data science solutions that help

customers realise the value of their investments in products and services.

• Communicate effectively with a diverse audience of internal and external stakeholders consisting of:

engineers, business people, partners, executives.

• Working closely with data scientists in advising and developing end to end machine learning

solutions (from a data engineering perspective) for the customer requirements.

• Be involved in providing services that include installation, configuration and integration of machine

learning, model management and cloud products in the customer environment/landscape.

• Responsible for helping the customer to integrate the machine learning models/pipelines (python and mojo scoring pipelines) with customer systems
• Provide/gather customer feedback so that you can work with the Engineering team to further

enhance our products.

• Present at meetups and webinars in the Data Science community, and be an integral part of the Maker

culture of creating the best products and solutions. What You Bring

• Bachelor's or a higher education degree in Computer Science/Engineering
• Minimum 6 to 8 years of experience with cloud computing/linux systems and architecting end to end

data processing pipelines or data intensive enterprise solutions

• System/Cloud Architecture Skills
• Excellent understanding of system engineering concepts and good command of working in a linux

based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL mainly.

• Excellent understanding and implementation experience of the cloud ecosystem i.e. what solutions

exist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components

• Excellent understanding and implementation experience with containers and container based

orchestration frameworks and leveraging them in the development/solutioning process. Kubernetes
and Docker knowledge must have. Virtualization knowledge (vagrant etc.) is a plus.

• Excellent understanding of distributed systems/services architecture and enterprise grade

solutions/software

• Good understanding and implementation/integration experience of LDAP, OAuth, OpenID, SSH, TLS,

network connectivity, firewalls etc that are required in any enterprise grade service architecture/solution
Programming Languages/Frameworks

• Experience in Python, Java, Bash scripting is a must have. Go, R, Groovy, Scala are a plus
• Experience in cloud IaaC sdks like CloudFormation/DeploymentManager or Terraform
• Experience in configuration management tools like Ansible, chef etc.
• Experience with writing REST API using micro services frameworks in Python or Java

Data Engineering Skills

• Excellent understanding and experience at building data pipelines and processes supporting data

transformation, data structures, metadata, dependency and workload management in 'big data'
environments.

• Experience of manipulating, processing and extracting value from large disconnected datasets.
• Excellent understanding and experience with big data tools like Hadoop and Spark/Kafka for batch and

streaming processing of data.

• Excellent understanding and experience of SQL query language and working with relational databases.
• Experience of NoSQL database types and understanding of their disparate application scenarios

Data Science skills

• Experience with Data Engineering pipelines
• Knowledge of basic statistical techniques and concepts (regression, properties of distributions,

statistical tests and proper usage, etc.)
Additional Requirements

• Experience of working in a customer facing environment, providing technical services
• Excellent verbal and written communication skills
• Must be fluent in Portuguese and English
• Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; desire

to learn/master new technologies. Maker mindset. Why

• Flexible work hours and time off.
• Opportunity to work closely with some of the best engineering talent and the best data scientists/Kaggle

Grandmasters in the world.
is an equal opportunity employer. We welcome and encourage diversity in the workplace
regardless of race, gender, sexual orientation, gender identity, disability or veteran status.