Platform Engineering Lead

Being at the forefront of innovation is exciting and leading transformation in a large global organization is a role that many people aspire to. If this is you, we have a transformational role in our newly developed platform services organization. Platform Engineering Lead is a hands-on engineering leader responsible forend-to-enddelivery of aMarTechplatform or major component within a larger product line such as Coca-Cola Consumer Data Platform (CDS) or global CIAM solution Global Access Management (GAM).

Reporting to the Director,MarTechProduct Development, this leader stays deeply technical, writing critical code in core services,frameworksand complex integrations during high-risk or high-visibility delivery moments, while leading a focused engineering team. The role brings AI-native practices into how the team builds,securesandoperatesthe platform, and treats developer velocity and production reliability.

WhatYou'llDo for Us

Lead end to end delivery of a high-impactMarTech/ AdTech platform orcomponent(for example, a service withinCDS or GAM) whileremainingdeeply hands on, writing critical code in core services,frameworksand complex integrations during high-risk or high-visibility moments. Manage and grow a focused engineering team of6 to 10 engineersacross in house and strategic vendor talent, coaching for craftsmanship,accountabilityand 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 andAI repository guardrails, ensuring AI-generated code is secure, maintainable, pattern-compliant, and resilient against prompt injection, unsafe dependencyusageand accidental data exposure.

Championdeveloper velocity as a strategic advantage: drive agentic and AI-assisted development, automation, reusable templates, streamlined CI/CD, and paved-road tooling that cut friction and cycle time. Driveproduction excellenceacross global services: improve observability maturity, incident-response readiness, root-cause-analysis discipline, and reliability practices (SRE/SLOs) that preventrepeatincidents.

Apply modern data and AI patterns where they add value, includingvector search and retrieval-augmented generation (RAG)for personalization,searchand grounded AI features, plus AI cost discipline such as token-overhead management and semantic caching. Identifysystemic bottlenecks in performance, reliability, cost and developer experience, and lead improvements that compound over time across the platform. Partner with Product, Architecture,Securityand cross functional stakeholders to align scope,sequencingand tradeoffs,maintaininghigh visibility on progress,risksand dependencies.

Serve as a role model for engineering leadership: clear technical communication, strong decision-making, calm execution under pressure, and a consistent focus on customer and business outcomes. Qualifications & Requirements
5+ years of professional software engineering experience, with a proventrack recordleading 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) tooptimizeperformance and reduce runtime overhead. Deep architectureexpertise:event-driven architectures, API-first patterns,distributed-systemsreliability, 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):demonstratedability to scale engineering productivity through automation and AI-assisted / agentic workflows whilemaintainingstrict security and quality boundaries, including AI repository guardrails and RAG / vector-search patterns. Team leadership:experience leading globally distributed teams, including a mix ofin houseand vendor talent, aligning them around standards, executionplansand delivery outcomes.

Communication:strong written and verbal communication, able to align stakeholders and explain technical tradeoffs to product,securityand business partners.

Education:Bachelor's degree in engineering, computer science or related fieldrequired. Equivalent combination of relevant education, training and demonstrated experience also considered.
WhatWe'llDo for You
Exposure to World-Class Leaders: Availability to global technology leaders will expand your network and expose you toemergingtechnologies andtechniques.

Global Connections: Allows you to develop,enhanceandmaintainglobal connections that allow us to move faster and learn from others.

Agile Work Environment: We embrace agile,with management that believes in removing barriers, so you are empowered to experiment, iterate, and innovate