Lead Software Engineer with AI Platform Engineering – 100% Remote (Fulltime)

Smart Caliber Technology; United States; Remote; USD 170,000 - 250,000; Part time

Job summary

Smart Caliber Technology is seeking a Lead Software Engineer for AI Platform Engineering. This 100% remote role targets the United States and is a 12-month contract.

You will help steer the development of scalable, cloud-native platforms that power AI experiences across our product portfolio, working on real-time data processing and intelligent automation. Your experience should include 8+ years in software development, leadership of distributed systems, and strong cloud proficiency.

Qualifications

• 8+ years of full software development lifecycle experience.
• 8+ years of programming with Python/Java/Go/C++.
• 5+ years leading design/architecture of large-scale distributed systems on cloud platforms.
• Experience in real-time microservices, stream processing or large-scale analytics.
• Experience mentoring engineers and leading teams.
• Ability to solve complex technical problems and deliver production-ready solutions.

Responsibilities

• Lead the design and development of AI platform engineering and distributed systems.
• Oversee scalable, secure, observable cloud-native services for enterprise use.
• Coordinate with cross-functional teams to deliver real-time analytics and AI features.
• Mentor engineers and guide architectural decisions.

Skills

Python

Java

Go

C++

Distributed systems

Cloud platforms

Mentoring

Architecture leadership

Education

Bachelor's degree in CS/Engineering or related

Master's degree preferred

Tools

Kafka

Spark

Flink

PySpark

MapReduce

Job description

Position: Lead Software Engineer — AI Platform Engineering

Location: 100% Remote

Employment Type: 12 Months Contract

About the Position

This is an incredible opportunity to work at the forefront of intelligent networking, agentic automation, cloud-native platforms, and real-time distributed systems. You will help lead the development of core platforms and services that process large volumes of network and operational data and power AI experiences across our client’s product portfolio. These systems must be scalable, secure, reliable, observable, adaptable, and safe for enterprise use cases.

Our client is a global leader in enterprise networking. Following several strategic acquisitions that have expanded its portfolio and go-to-market strategy, the company is seeing tremendous opportunity and growth across regions, making this an exciting time to join the team.

The team is responsible for developing core platforms and services spanning networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation. These capabilities positively impact multiple existing flagship products as well as new offerings. The team is spearheading a fundamental shift in how businesses operate and manage their wired and wireless networks by building high-performance, real-time systems that can process massive volumes of network data, derive actionable insights, and enable intelligent agents to assist users or act on their behalf. As part of this group, you will continuously experiment with emerging technologies, create best-in-class networking experiences, and launch state-of-the-art software, data, and AI solutions.

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
• 8+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations.
• 8+ years of programming experience, with proficiency in at least one general-purpose programming language, preferably Python, Java, Go, or C++.
• 5+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud.
• Experience in one or more of the following areas: real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics.
• Experience designing systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability.
• Experience mentoring engineers, serving as a technical lead, or leading an engineering team.
• Demonstrated ability to tackle highly complex, ambiguous, or undefined technical problems and translate them into pragmatic, production-ready solutions.

Preferred Qualifications

• Master’s or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience.
• Experience building highly scalable, event-driven microservices and processing large volumes of real-time operational or network data.
• Experience building generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment.
• Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems.
• Experience with distributed data and processing technologies such as Kafka, Spark, Flink, PySpark, MapReduce, or comparable technologies.
• Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes.

Best Regards,

Chetna

Truth Lies in Heart