Senior Software Architect

Jobtailor

Austin (TX)

On-site

USD 140,000 - 180,000

Full time

13 days ago

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Job summary

Jobtailor in Austin seeks a lead software architect to define architecture for the endpoint platform, Windows services, and supporting cloud systems. This role designs automation and AI-powered actions on customer devices, with safeguards, rollback mechanisms, and auditability.

The position establishes architectural standards, guides AI-generated code in production, and evaluates solutions with proofs of concept, while providing technical leadership to globally distributed teams.

Qualifications

7+ years of software engineering experience.
Experience in C++ or .NET.
SQL Server, Cassandra, or ScyllaDB (NoSQL).
Software architecture, distributed systems, high-availability platforms, microservices, and containerization.
Experience designing AI-driven actions on managed endpoints with security controls and auditing.
Experience with AI-assisted development and production use of AI-generated code.
Experience building and operating in Azure, AWS, or Google Cloud with infrastructure automation.
Bachelor's degree in Computer Science, Software Engineering, or a related field.

Responsibilities

Define architecture for the endpoint platform, Windows services, and supporting cloud systems.
Design automation and AI-powered actions on customer devices with safeguards and auditability.
Establish architectural standards and guidelines for AI-generated code in production.
Evaluate solutions, run proofs of concept, and recommend scalable designs.
Provide technical leadership and mentorship to globally distributed teams.
Drive architectural decisions and document designs, standards, and key decisions.

Skills

C++ Development

Software Architecture

AI-Driven Automation

Cloud Platforms

SQL/NoSQL Databases

Education

B.S. in CS

Tools

Azure

AWS

Google Cloud

Infrastructure Automation

Job description

Define the architecture for the endpoint platform, Windows services, and supporting cloud systems
Design automation and AI-powered actions on customer devices, including permissions, safeguards, rollback mechanisms, and auditability
Establish architectural standards, engineering best practices, and guidelines for AI-generated code in production systems
Evaluate technical solutions, conduct proofs of concept, and recommend scalable and secure designs
Provide technical leadership and mentorship to globally distributed platform engineering teams
Drive architectural decisions and maintain documentation of designs, standards, and key decisions
Monitor emerging technologies, cloud platforms, and AI tooling and identify improvement opportunities
Own non-functional platform architecture, ensuring reliability, performance, security, scalability, and cost efficiency

Requirements

7+ years of software engineering experience building applications in C++ or .NET
Strong experience with SQL and NoSQL databases such as Microsoft SQL Server, Cassandra, or ScyllaDB
Deep understanding of software architecture, distributed systems, high-availability platforms, microservices, and containerized environments
Experience designing systems that perform automated or AI-driven actions on managed endpoints, including security controls and auditing requirements
Hands-on experience with AI-assisted development and understanding of appropriate production use of AI-generated code
Experience building and operating solutions in Azure, AWS, or Google Cloud, including infrastructure automation
Bachelor's degree in Computer Science, Software Engineering, or a related field

Core Competencies

Demonstrates expertise in software architecture and engineering, with a focus on building scalable, secure, and high-availability systems. Proficient in leveraging cloud platforms and AI technologies to enhance system performance and automation.

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