Todyl

Technology

SeniorSoftwareEngineer-DataEngineering

$170–190k Denver, Colorado, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer - Data Engineering at Todyl”

Industry & Context.

Technology
Full Job Description

Todyl puts world-class networking and security within reach of every business. The Todyl Security Platform converges SASE, SIEM, Endpoint Security, GRC, MXDR, and more into a cloud-native, single-agent platform specifically built for MSPs, MSSPs, and Mid-Market IT Professionals. We are a fast-paced, dynamic start-up, passionate about simplifying complex networking and security for businesses of all sizes. About the Role We are looking for a talented, collaborative individual who is deeply knowledgeable in software engineering and enjoys working across many layers of the stack. This will be an opportunity to work on end-to-end development, from design to implementation of our products & services. This position will be involved with developing data ingestion and database systems. The ideal candidate is excited by developing products & solutions supporting large scale data engineering work.   Responsibilities - Write efficient, scalable, and high-performance code to meet the demands of our software applications, optimizing algorithms and data structures for speed and reliability. - Design and implement elastic code architectures that enable our software systems to scale horizontally and vertically in response to changing demands. - Architect and implement scalable and reliable data storage solutions to meet the organization's needs. - Work closely with the AI/ML team providing format appropriate data delivery in support of business intelligence initiatives. - Evaluate and select appropriate storage technologies, databases, and data warehouses to meet the organization's needs for data retention, archival, and analysis. - Design and implement data ingestion pipelines to pull data from various sources into ElasticSearch for real-time analytics, search, and visualization. - Optimize data ingestion workflows for scalability, reliability, and fault tolerance, considering high volume and velocity of incoming data streams. - Collaborate with cross-functional teams to integrate

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