Software Engineering

Intone Inc; Dallas, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Intone Inc. in Dallas, Texas, seeks an experienced Software Engineering Tech Lead for a 6-month onsite contract.

You will guide software development teams in building, integrating, and operationalizing AI-driven solutions, providing technical leadership across architecture, development, integration, testing, and production operations. Responsibilities include mentoring developers, ensuring quality and performance, collaborating with architects and stakeholders, and driving automation,

Qualifications

• Expert-level software engineering experience.
• Proven leadership of software teams.
• Strong knowledge of at least one programming language and exposure to others.
• Solid understanding of software architecture, design, testing, and deployment.
• Experience with cloud technologies, APIs, and system integrations.
• Excellent communication with stakeholders and leadership.

Responsibilities

• Lead and mentor a team of software developers in planning, delivery, and operation of reliable software applications.
• Provide technical leadership to ensure quality, scalability, and performance.
• Collaborate with Solution Architects and shared-services on designs.
• Develop accurate development estimates and support feasibility assessments.
• Design, develop, and maintain high-quality software with modern practices.
• Drive automated testing and TD/DevOps practices.
• Oversee deployments across non-production and production environments.
• Identify opportunities to apply AI, data, cloud, and analytics technologies.

Skills

Software engineering

Team leadership

Programming languages

Software architecture

Cloud technologies

APIs

Testing & deployment

Stakeholder communication

Education

Bachelor's degree or equivalent

Job description

This is a contract position for a Software Engineering Tech Lead based in Dallas, Texas, working onsite for a 6-month duration. We are seeking an experienced technical leader to guide software development teams in building, integrating, and operationalizing AI-driven solutions. You will provide technical leadership across architecture, application development, system integration, testing, deployment, and production operations while collaborating closely with business stakeholders, Solution Architects, engineering teams, and senior leadership.

The role will support AI and data-driven initiatives, including Delay Propagation Engine (DPE) Integrations and AI for Crew Negotiations, with a strong focus on delivering scalable, reliable, maintainable, and production-ready solutions.

Responsibilities

• Lead and mentor a team of software developers in the planning, development, delivery, and operation of highly reliable software applications.
• Provide technical leadership and ensure the quality, scalability, maintainability, and performance of software solutions.
• Partner with Solution Architects and shared-services teams to create, review, and approve application designs.
• Provide accurate development estimates and support project feasibility and planning activities.
• Design, develop, review, and maintain high-quality software using modern engineering practices.
• Develop and execute unit, functional, and integration testing with an emphasis on automation and test-driven development.
• Provide technical oversight for performance testing and ensure solutions meet defined non-functional requirements.
• Plan and oversee application deployments across non-production and production environments.
• Identify opportunities to leverage emerging technologies, particularly AI, data, cloud, and analytics technologies, to improve business and engineering outcomes.
• Identify and address technical debt while balancing development effort with business value.
• Mentor developers on architecture, design, coding standards, testing, DevOps, and operational practices.
• Collaborate with business and technical stakeholders to translate business requirements into effective technical solutions.
• Communicate technical concepts, risks, options, recommendations, and business value to both technical and non-technical audiences.
• Influence technical decisions across teams and leadership without direct authority.
• Lead multiple initiatives concurrently while maintaining delivery commitments.
• Integrate DPE insights into existing operational applications and workflows, supporting system integrations, data orchestration, and user-facing decision-support capabilities.
• Scale AI-driven capabilities toward production-ready solutions while ensuring reliability, performance, maintainability, and operational readiness.
• Support AI and analytics solution architecture for crew negotiation initiatives, including platform and application integration, data governance, and semantic data-layer integration.
• Collaborate with business stakeholders, analytics teams, and platform engineering teams on AI and analytics application development and production deployment.

Qualifications

• Required
  • Expert-level experience in software engineering with broad and deep knowledge of software development practices and technologies.
  • Strong experience leading software engineering teams.
  • Advanced knowledge of at least one programming language and working knowledge of additional programming languages.
  • Strong understanding of software architecture, design patterns, development methodologies, testing, and deployment.
  • Experience with cloud technologies, APIs, system integrations, and modern software engineering practices.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder-management skills.
  • Ability to communicate technical solutions and their business value to senior leadership and non-technical stakeholders.
  • Experience working in fast-paced, enterprise-level environments.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent advanced experience.
• Preferred
  • Experience with AI/ML, data platforms, analytics, or AI-enabled applications.
  • AI/ML and Generative AI expertise.
  • Python, Java, JavaScript/TypeScript, or similar programming languages.
  • AWS or other cloud technologies.
  • Datab