Software Engineering Group Manager

The Coca-Cola Company•Atlanta, GA
•$202,000 - $229,000

About The Position

The Software Engineering Group Manager leads multiple engineers across full-stack, front-end, and back-end disciplines to deliver customer-facing and internal products within a product operating model. The role partners closely with Product, Design, Data, and Architecture to shape strategy, build durable platforms, and deliver measurable outcomes across Coca-Cola’s North America Operating Unit. The manager provides technical direction while remaining close enough to the work to make sound architectural and delivery decisions. The position includes developing engineers, building the engineering team, establishing standards and strong engineering practices, managing technical risk, and balancing near-term delivery with long-term product and technical health. Teams work cross-functionally from discovery through delivery, with a focus on customer and business outcomes, data-informed improvement, and continuous learning. Depending on the team, work may involve connected service tools, data and API platforms, customer and operational experiences, sales products, or intelligent systems. The role may guide solutions across front-end, back-end, platform, data, and ML capabilities, with an emphasis on scalability, security, maintainability, reliability, and cost efficiency. The position is based in Atlanta, United States, with 0%–25% travel required and no relocation provided.

Requirements

  • 10+ years of software engineering experience, including building and shipping production-grade applications.
  • 3+ years of people management experience leading software engineers; experience across full-stack, front-end, and back-end disciplines is preferred in the posting as 'ideally'.
  • Experience setting technical direction across services, web/mobile UIs, and cloud platforms, and reviewing architecture and design.
  • Experience partnering with Product and Design in a product operating model, including continuous discovery and delivery and outcome-based roadmaps.
  • Working knowledge of data engineering and ML delivery patterns, including pipelines, feature stores/serving, model lifecycle, and monitoring.
  • Proficiency in modern programming languages and frameworks across frontend and backend.
  • Experience working with APIs, distributed systems, and cloud environments.
  • Experience leading multiple teams or a larger engineering group with shared services and cross-team dependencies.
  • Experience building internal platforms or reusable components that accelerate delivery across product teams.
  • Experience with modern cloud and data stacks, such as container platforms, event streaming, and data warehouses/lakehouses.
  • Experience operationalizing ML, including MLOps, model monitoring, responsible AI practices, and experimentation.
  • Strong stakeholder management skills across technology, product, and business partners.
  • Experience contributing to product discovery or solution design, not just delivery.
  • Track record of technical leadership within a team, formal or informal.
  • Experience building customer-facing products.
  • Familiarity with modern engineering practices, including CI/CD, testing, and observability.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Must be currently authorized to work in the United States on a full-time basis and must not require Coca-Cola Company sponsorship to continue working legally in the United States.

Nice To Haves

  • Experience leading engineers across full-stack, front-end, and back-end disciplines (described as ideal).

Responsibilities

  • Manage and coach full-stack, front-end, and back-end engineers through technical leadership and professional development.
  • Help build out the Software Engineering Team.
  • Bring technical perspective to assessing feasibility, value, and what is worth building; challenge assumptions and propose simpler, faster, or more impactful alternatives.
  • Partner with Product Management and Design to frame problems, define outcomes, and translate strategy into an executable roadmap.
  • Align cross-team dependencies and coordinate delivery across multiple services and applications.
  • Communicate status, risks, and tradeoffs clearly to stakeholders, making decisions that optimize for customer and business impact.
  • Make pragmatic tradeoffs among speed, scalability, maintainability, and cost.
  • Ensure appropriate alignment with broader platform and enterprise architecture.
  • Guide architecture and technical direction across front-end, back-end, and platform capabilities, ensuring solutions are scalable, secure, and maintainable.
  • Partner with Data Engineering and Data Analytics to enable reliable data products, feature pipelines, and ML-powered experiences where they create measurable value.
  • Establish engineering standards for APIs, UI architecture, data contracts, and eventing, aligned with enterprise and platform architecture.
  • Own technical risk management across security, privacy, resiliency, and cost; surface tradeoffs and investment needs early.
  • Ensure strong engineering practices, including testing, observability, and CI/CD.
  • Maintain a high bar for code quality and system design through reviews and hands-on contribution.
  • Drive continuous product improvement through iteration, feedback, and learning.
  • Establish reliability targets, including SLOs/SLAs where applicable, and improve performance, availability, and cost efficiency.
  • Balance short-term delivery with long-term product and technical health, including planned reduction of technical debt.
  • Keep the team focused on meaningful impact rather than simply completing work.
  • Clarify ownership boundaries, decision rights, and interfaces between teams to enable autonomy with alignment.
  • Contribute to a strong engineering culture and collaborate with Product, Design, and Data leadership.

Benefits

  • A full range of medical, financial, and/or other benefits is offered, dependent on the position.
  • Annual incentive reference value of 30%, described as a market-based competitive value at target.
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