Lead Software Engineer

Cox Enterprises, Inc.; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Cox Enterprises, Inc. is seeking a Lead Software Engineer to guide technical direction for distributed platforms at the release train level.

You’ll own milestone-level solution discovery, define standards, and align engineering across teams to maintain architectural coherence. The role emphasizes influence without formal authority, mentoring, and adoption of AI-assisted development and spec-driven workflows.

Qualifications

• Bachelor’s degree in a related field with 6+ years of experience.
• Hands-on full-stack development with API design experience.
• Experience with AWS or equivalent cloud-native architectures.

Responsibilities

• Owns milestone and epic-level solution discovery with ready-to-implement specs.
• Defines technical standards and reference implementations across architectures.
• Partners with architects and engineers to align direction and surface risks.
• Leads remediation of architectural drift and debt.
• Drives adoption of spec-driven development and AI-assisted tooling.
• Acts as incident commander support during production incidents.

Skills

StencilJS

C#

Full-stack dev

API design

AWS

Education

Bachelor's degree

Job description

The Lead Software Engineer applies advanced knowledge of software engineering principles, modern architectural patterns, and emerging delivery methodologies to drive the technical direction of complex, distributed software platforms at the Release Train level. Serving as an influential participant in solution discovery and architectural decision-making, this role leads milestone and epic-level technical solutioning across the value stream’s product portfolio; defines reference implementations and engineering standards for the teams it supports; and partners across release trains to ensure architectural coherence as the platform evolves. This role applies effective influence and collaboration—without formal management authority—across Engineering, Product, Architecture, and SRE to drive decisions and unblock delivery throughout the software development lifecycle.

The Lead Software Engineer takes the lead on difficult technical problem-solving and cross-team coordination, predicts and documents potential architectural risks and constraints, and leverages AI-assisted engineering tooling to compound their own and the broader engineering organization’s productivity. As engineering teams increasingly rely on AI-generated code, the Lead Software Engineer serves as a thought leader in evolving solution discovery practices to meet this shift — defining how architectural intent, integration contracts, and implementation patterns are embedded into spec-driven development workflows and AI coding agent configurations, ensuring technical direction is established at the point of generation rather than discovered through downstream rework.

What You'll Do

• Owns milestone and epic-level solution discovery for the assigned value stream portfolio, producing implementation-ready technical specifications that AI Transformed and AI Enabled delivery teams can execute while reducing the need for iterative clarification.
• Defines technical standards and reference implementations for the value stream’s product architectures, ensuring consistency across the portfolio and clear patterns for delivery teams to follow.
• Partners with Value Stream Architects, peer Release Train level engineers, and adjacent release trains to align technical direction, surface architectural risks, and drive cross-train decisions before they become delivery blockers.
• Identifies teams with architectural drift, technical debt, or capability gaps and embeds to lead remediation — coaching on patterns, driving solution design, and verifying technical readiness before delivery commitments are made.
• Drives adoption of spec-driven development across the value stream’s delivery teams, embedding architectural intent and integration contracts into the artifacts AI coding agents and engineers consume — rather than relying on post-implementation correction.
• Serves as the right hand to the incident commander during production incidents, providing technical depth across the value stream’s product surface, accelerating diagnosis, and driving decisive remediation.
• Remains the tip of the spear on emerging engineering technologies — including AI-assisted development, spec-driven workflows, and modern integration patterns — through hands‑on adoption, then transfers that capability to delivery teams through structured mentorship and reference work.
• Identifies architectural risks within the value stream’s technology footprint, defines mitigation strategies, and drives them to documented decisions that set forward-looking technical direction.

Who You Are

• Bachelor’s degree (list any requirements of discipline here) and 6 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 18 years' experience in a related field.
• Hands-on experience with full-stack development, including technologies such as StencilJS and C#, in addition to designing and delivering distributed software systems, including API design, integration patterns, and cloud-native architectures (AWS or equivalent).
• Hands-on experience leading technical solution discovery for complex initiatives, producing specifications and architectural artifacts that other engineers execute against.
• Experience with modern delivery methodologies including spec-driven development, Agile practices at scale, and AI-assisted engineering workflows.
• Reviews product requirements and system designs with an architectural lens, contributing technical direction during discovery and driving implementation patterns that support maintainability, scalability, and resilience.
• Skilled at building partnerships with Product, Architecture, and Engineering teams both inside and outside of the organization, and at driving decisions across organizational boundaries without formal authority.
• Remains current on software engineering tooling, architectural patterns, and emerging methodologies, recommending and driving adoption of approaches that measurably improve delivery throughput, technical quality, or engineering productivity.
• Demonstrated experience working with AI coding tools (such as Claude, Copilot, or equivalent) and the ability to define and implement architectural guardrails within agent configurations, constitutions, or briefings