Staff Software Engineer

Title: Staff Software Engineer

Location: Remote - Need to work PST hours

Salary Range: $65/Hr.

Introduction

Join a dynamic team at the forefront of technology where you will have the opportunity to lead and innovate in the areas of Big Data, Generative AI, and Graph Machine Learning. We are seeking skilled engineers who thrive in fast-paced, challenging environments to help us build scalable, high-performance systems.

Required Skills & Qualifications

Applicants must be able to work directly for Artech on W2

8 years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations)

7+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming)

Experience with sensitive or streaming data pipelines, including governance and compliance requirements

Experience with Graph technologies (e.g., GNNs)

Proven track record of delivering complex, high-impact software systems in production

Experience deploying large-scale solutions on cloud platforms (AWS, Azure, GCP)

Strong problem-solving skills and ability to excel in ambiguous environments

Preferred Skills & Qualifications

MS in Computer Science, Machine Learning, or a related discipline

Experience with Graph ML and Graph technologies (e.g., GNNs)

Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production

Day-to-Day Responsibilities

Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability

Own end-to-end delivery of key features and services across the full SDLC: design, implementation, testing, deployment, and operations

Drive innovation by translating emerging technologies into production-ready systems

Build and optimize scalable, real-time analytic systems powering AI Agents

Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices

Collaborate across teams to ensure solutions are resilient, secure, and high-performing

For immediate consideration please click APPLY to begin the screening process with Alex.