Sr. Architect- Golang, React, nginx, Python, AWS

We are hiring a long term REMOTE consultant to commit to 40 hours a week M-F during day time hours for a long term contract. No part time options and No W2.

REQUIRED:

For Tech Stack and Data-Pipeline and Data Storage Audit

• Extensive experience with scoping and designing architecture for SaaS platforms based on

specific, although potentially very different use cases.

• Experience in emerging solutions as well, such as Snowflake, is a plus, since we may be in a position to re-architect the platform if it makes the most sense.
• Experience with the current technologies and applications used in our environment:

o Nginx, React, GoLang, Python, Ruby, ELK, PostgresSQL, Kafka, Redis, K8S and
AWS.

-Troubleshooting experience with data-pipelines and AWS Native Kafka(MSK) along with
instrumentation would be ideal

1. Platform Review (Summary)
a. Data-Pipeline and DB architecture review and/or optimization based on current
use cases. Can we tweak what we have or should we make some significant
changes to our architecture.
i. SaaS / Commercial - MSP, automated security monitoring

• Threat Based Scoring
• Future: Behavioral Detections
• Future: Advanced analytics
• Future: Expansion of supported product/log types
• UI/API/Reporting Enhancements

ii. D3OC DB - insights - longer term

• Anonymizing capability - Dark3 Proprietary
• API Buildout?
• Platform Review (Detailed)

a. Review of Kafka Pipeline configuration and implementation
i. Configuration
ii. Design
iii. Performance
iv. Instrumentation / Monitoring / Alerting
b. Review of PostgreSQL database
i. Configuration
ii. Design
iii. Performance
iv. Instrumentation / Monitoring / Alerting
c. Review of Elasticsearch Cluster
i. Configuration
ii. Design
iii. Performance
iv. Instrumentation / Monitoring / Alerting
d. Review of Catcher Code & Functionality
i. Is it the right approach?
ii. Are there better ways to accomplish this
iii. Scaling
iv. Handling Edge Cases / Errors
e. Review of Scoring / Data Collection approach
i. Current approach vs. centralized approach
ii. E.g. all data for IPs and domains in one table that all customers refer to
(whois, scoring, extra details)

Must be located in the US or Canada to be considered for this role. Sorry, No Visa Sponsorship.

Resume must include the tech stack under each job.

FOR IMMEDIATE CONSIDERATION, EMAIL RESUME WITH TECH STACKS BY EACH JOB, FIRST AND LAST NAME, HOME LOCATION AND CONTACT INFORMATION DIRECTLY ON THE RESUME.