Platform Engineering Lead

About the role

This is a transformational, hands-on engineering leadership position within our newly developed platform services organization. As the Platform Engineering Lead, you will be responsible for end-to-end delivery of a MarTech platform or major component, such as the Coca-Cola Consumer Data Platform (CDS) or the global CIAM solution Global Access Management (GAM). You will report to the Director of MarTech Product Development, staying deeply technical by writing critical code in core services, frameworks, and complex integrations during high-risk or high-visibility delivery moments while leading a focused engineering team.

The role integrates AI-native practices into platform development, emphasizing developer velocity and production reliability.

Responsibilities

• Lead end-to-end delivery of a high-impact MarTech/AdTech platform or component (e.g., a service within CDS or GAM) while remaining hands-on, writing critical code in core services, frameworks, and complex integrations during high-risk or high-visibility moments.
• Manage and grow a focused engineering team of 6 to 10 engineers, including in-house and strategic vendor talent, coaching for craftsmanship, accountability, and continuous learning.
• Translate architecture and product strategy into executable engineering plans: define milestones, sequence dependencies, manage technical risk, and ensure predictable delivery across globally distributed teams.
• Establish and enforce engineering standards and AI repository guardrails, ensuring AI-generated code is secure, maintainable, pattern-compliant, and resilient against prompt injection, unsafe dependency usage, and accidental data exposure.
• Champion developer velocity as a strategic advantage: drive agentic and AI-assisted development, automation, reusable templates, streamlined CI/CD, and paved-road tooling to reduce friction and cycle time.
• Drive production excellence across global services: improve observability maturity, incident-response readiness, root-cause-analysis discipline, and reliability practices (SRE/SLOs) to prevent repeat incidents.
• Apply modern data and AI patterns where valuable, including vector search and retrieval-augmented generation (RAG) for personalization, search, and grounded AI features, plus AI cost discipline such as token-overhead management and semantic caching.
• Identify systemic bottlenecks in performance, reliability, cost, and developer experience, and lead improvements that compound over time across the platform.
• Partner with Product, Architecture, Security, and cross-functional stakeholders to align scope, sequencing, and tradeoffs, maintaining high visibility on progress, risks, and dependencies.
• Serve as a role model for engineering leadership: demonstrate clear technical communication, strong decision-making, calm execution under pressure, and a consistent focus on customer and business outcomes.

Requirements

• 5+ years of professional software engineering experience, with a proven track record leading technical delivery for high-traffic, production-grade systems, including 2+ years leading or managing engineers.
• A builder at heart who stays close to the code.
• Expert-level JavaScript/TypeScript, plus strong production experience with systems-level languages (Rust strongly preferred) to optimize performance and reduce runtime overhead.
• Deep architecture expertise: event-driven architectures, API-first patterns, distributed-systems reliability, and modern data platforms (SQL/NoSQL; vector search exposure preferred).
• Strong DevOps & Infrastructure-as-Code mastery (Terraform/CDK), including release engineering, environment governance, CI/CD, and operational best practices.
• AI-enabled engineering (preferred): demonstrated ability to scale engineering productivity through automation and AI-assisted/agentic workflows while maintaining strict security and quality boundaries, including AI repository guardrails and RAG/vector-search patterns.
• Team leadership: experience leading globally distributed teams, including a mix of in-house and vendor talent, aligning them around standards, execution plans, and delivery outcomes.
• Strong written and verbal communication, able to align stakeholders and explain technical tradeoffs to product, security, and business partners.

Qualifications

Bachelor’s degree in engineering, computer science, or a related field required. Equivalent combination of relevant education, training, and demonstrated experience also considered.

Benefits

• Exposure to world-class leaders, expanding your network and exposing you to emerging technologies and techniques.
• Opportunity to develop, enhance, and maintain global connections that accelerate learning and execution.
• Agile work environment with management that removes barriers, empowering you to experiment, iterate, and innovate.

Pay

Base pay range: $124,600 USD – $148,200 USD. Offered pay may vary depending on geography, job-related knowledge, skills, and experience.

Annual Incentive Reference Value Percentage: 15%. This is a market-based competitive value for your role, falling in the middle of the range and indicating performance at target.

A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Schedule

• Location: Atlanta, United States of America.
• Travel required: 0% – 25%.
• Relocation assistance not provided.

This position does not offer sponsorship for employment-based nonimmigrant visas (e.g., H1-B). Applicants must be currently authorized to work in the United States on a full-time basis without requiring sponsorship.