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Lead Software Engineer

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Onsite

Lead Software Engineer

HOMELAND LLC

Lead Software Engineer

Skills

Data EngineeringPythonAWS LambdaSnowflakeData AnalysisAIAWSComplianceRegulatory Compliance

8 days ago

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Important information


Contract type:

Permanent

Location:

Plano, TX, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


Work Authorization Requirement: To be considered, candidates must be currently legally authorized to work in the United States on a full-time basis without employer sponsorship. Homeland Talent Solutions and our client are unable to provide sponsorship or assume sponsorship of any employment visa status now or in the future.

Job Summary

Homeland Talent Solutions is partnering with a leading education technology organization serving millions of students, educators, and school districts across North America to hire a Lead Software Engineer to join a high-impact team modernizing a mission-critical compliance reporting platform used for state reporting, funding allocation, and regulatory compliance.

This Lead Software Engineer role sits at the center of a major transformation initiative focused on rebuilding a legacy reporting ecosystem into a next-generation, cloud-native platform powered by AI-assisted engineering workflows, modern architecture, and scalable data-driven systems. Far beyond a traditional rewrite, this Lead Software Engineer position offers the opportunity to influence architecture decisions, drive technical strategy, and help define how reporting software is developed and scaled across the organization.

As a Lead Software Engineer , you will work on a highly visible initiative leveraging technologies such as Python, AWS Lambda, Snowflake, Jupyter Notebooks, serverless architectures, cloud data pipelines, and emerging AI-enabled development practices, ultimately helping shape a platform that will serve as the foundation for future innovation in compliance reporting and developer productivity.

Responsibilities

  • Design and develop the foundational framework that enables other engineers to build, scale, and innovate more efficiently
  • Build core reporting infrastructure and execution frameworks
  • Develop framework orchestration and service coordination components
  • Create AI-assisted development workflows and engineering automation tools
  • Build developer productivity platforms and internal engineering tooling
  • Design and implement cloud-native execution frameworks using AWS and Python
  • Support automation efforts for migrating and modernizing legacy business logic
  • Develop scalable data processing pipelines and integration services
  • Contribute to next-generation engineering experiences leveraging AI and analytics technologies
  • Participate as a senior technical contributor on a strategic modernization initiative
  • Review, validate, and influence platform architecture decisions
  • Partner with architects, product leaders, and engineering leadership to deliver platform capabilities
  • Establish engineering standards, best practices, and ensure high code quality
  • Mentor engineers and contribute to long-term platform strategy and evolution
  • Drive modernization and automation of complex legacy systems into a modern cloud architecture

Requirements

  • 8+ years of software engineering experience in complex, production-scale environments
  • Strong expertise in Python development and modern software engineering practices
  • Hands-on experience with AWS architecture and cloud-native application development
  • Experience designing and building scalable distributed systems
  • Proven experience implementing serverless solutions (AWS Lambda preferred)
  • Strong understanding of software architecture principles, design patterns, and engineering best practices
  • Demonstrated ability to work effectively within complex, large-scale technical environments and cross-functional teams
  • Preferred Qualifications
  • Experience with Snowflake or other modern cloud data platforms
  • Experience developing solutions using Jupyter Notebooks
  • Experience building AI-assisted development tools, workflows, or automation systems
  • Exposure to agentic AI frameworks, orchestration patterns, or AI-driven engineering systems
  • Familiarity with LLM-based development workflows and applications
  • Background in data engineering, analytics platforms, or reporting systems
  • Experience with cloud modernization, system migration, or legacy platform transformation initiatives
  • Experience building internal developer platforms, tooling, or engineering productivity systems
  • Experience working within SaaS-based product environments

Benefits

The role offers a competitive annual salary of $150,000-$153,300 as well as a comprehensive benefits package.

Summary

If you're a senior-level engineer who thrives in complex, high-impact environments and wants to help shape the future of AI-driven software development, this is an opportunity to do exactly that. You’ll work on a mission-critical modernization initiative with executive visibility, leveraging modern cloud technologies and emerging AI workflows to build the foundational platform other engineers will rely on. This role offers the rare combination of greenfield influence, technical depth, and meaningful real-world impact—supporting school districts across North America while redefining how scalable reporting systems are built and delivered. Apply today!

EEO Notice

Homeland LLC is an Equal Opportunity Employer. Homeland LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Homeland LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.

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