Software Engineer 3 – AI, ML, Cloud

Jobtailor

California (MO)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Jobtailor seeks an experienced software engineer to design, build, and operate large-scale data pipelines ingesting telemetry data and to develop routing intelligence for cloud-scale, multi-tenant environments.

You will contribute across the stack from ingestion through analytics, building cloud-native distributed systems with a focus on scalability and reliability, while collaborating on AI-powered networking solutions and leveraging AI-assisted coding tools.

Qualifications

Bachelor's degree in Computer Science or related field.
Master's degree in Information Systems or related field is a plus.
5+ years of professional software engineering experience.
Hands-on experience building cloud-native applications and processing large-scale data.

Responsibilities

Design, build, and operate large-scale data pipelines ingesting and processing network telemetry at cloud scale.
Develop routing intelligence to detect, troubleshoot, predict, and mitigate network issues in multi-tenant data centers.
Build scalable, highly available services on the Mist platform across the stack from ingestion to analytics.
Design software for cloud-native distributed systems focusing on scalability, reliability, and performance.
Collaborate with engineering teams to develop AI-powered networking solutions and improve efficiency.
Utilize AI-assisted development tools like GitHub Copilot to boost productivity.

Skills

Cloud-Native

Distributed Systems

Data Pipelines

Kafka

Apache Storm

Apache Flink

Cassandra

ArangoDB

Elasticsearch

GitHub Copilot

Networking Fundamentals

AI-Assisted Coding

Education

Bachelor's in CS

Master's in Information Systems

Tools

GitHub Copilot

Elasticsearch

ArangoDB

Job description

Design, build, and operate large-scale data pipelines that ingest and process network telemetry at cloud scale.
Develop routing intelligence capabilities to detect, troubleshoot, predict, and mitigate network issues in multi-tenant data center environments.
Build scalable, highly available services on the Mist platform, contributing across the stack from data ingestion through analytics.
Design and develop software for cloud-native distributed systems with a focus on scalability, reliability, and performance.
Collaborate with engineering teams to build AI-powered networking solutions that improve operational efficiency and customer experience.
Leverage modern AI-assisted development tools, including GitHub Copilot, to improve engineering productivity.

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field.
Minimum of 5 years of professional software engineering experience.
Hands-on experience building cloud-native applications and processing large-scale data.
Experience with distributed streaming and data processing technologies such as Kafka, Apache Storm, or Apache Flink.
Experience with distributed databases such as Cassandra, ArangoDB, Elasticsearch, or similar technologies.
Recent experience using AI-assisted coding tools (e.g., GitHub Copilot) in day-to-day software development.
Strong software development skills and excellent written and verbal communication abilities.
Working knowledge of networking fundamentals and routing protocols.
Experience building highly scalable distributed systems or cloud services.
Interest in AI-driven networking, data analytics, and autonomous operations.

Core Competencies

Demonstrates expertise in designing and building cloud-native distributed systems and large-scale data pipelines, with a strong focus on scalability, reliability, and performance. Proficient in leveraging AI-assisted development tools to enhance engineering productivity and improve operational efficiency.

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