Manager, Software Engineering

Toshiba Global Commerce Solutions is seeking a Software Engineering Manager to lead teams building the next chapter of ELERA: AI-native development tooling, an agentic platform layer, and a FAANG-aligned operating model where engineering owns delivery end to end. The level of this role, from first-line manager through senior manager scope, is matched to the candidate's demonstrated experience, team size, and product complexity.

Strong tech leads moving into management for the first time and seasoned managers leading large groups are both encouraged to apply.

Our software runs at tens of thousands of retail stores worldwide. If you have used self-checkout at a major warehouse club, paid at a Fortune 500 big-box retailer, or shopped at a global grocery chain or apparel brand, you have likely used our software products. It is the retail commerce platform we build at TGCS, powering point of sale, mobile, self-service, and back-of-store operations for many of the world's largest retailers.

Own delivery, quality, and team health for one or more product areas inside ELERA. Concretely:

• Delivery and execution
  . Engineering execution, the milestone plan, sprint tracking, technical risk, and quality. You are accountable and responsible.

• The team
  . Hiring, performance, compensation, career development, and the hard conversations. You take action early.

• Technical fluency
  . You stay close enough to the code to be useful in design reviews, debug a production issue, and challenge a tradeoff. You partner with Principal Engineers on standards.

• Product reality. You know the architecture, the backlog, your customers, and how the product performs in the market.

• Production support. You own customer escalations affecting your scope and meet SLAs.

• 5-10+ years in software development, including 3-10 years in leadership or manager role.

• Bachelor’s degree in computer science, Engineering, or equivalent.

• A strong software engineering background with a track record of shipping production systems  can hold your own in a deep technical conversation with senior engineers and Principal-level architects.

• Demonstrated leadership of software engineers, formally as a manager or as a tech lead, staff engineer, or senior IC who has owned end-to-end delivery for a team's scope. You have hired, developed, performance‑managed, and when needed exited engineers.

• Working knowledge of modern Agile delivery, the SDLC, and CI/CD practices in a continuous‑deployment environment.

• Comfort moving between the architectural level and the debugger, and between an executive review and a sprint standup, in the same day.

• A track record of leading through ambiguity, owning a missed commitment without deflection, and recovering from a production incident.

• Excellent written and verbal communication. You write tight status updates, run focused meetings, and present executive‑ready tradeoffs.

• Direct, low‑ego, honest. You disagree clearly, commit cleanly, and tell people the truth.

• Experience with AI‑assisted development workflows: coding agents, AI‑driven test generation, RAG‑based developer tooling, or agentic CI/CD.

• Retail, payments, POS, or other transaction‑critical systems experience.

• Familiarity with our stack:
  Java/Spring Boot, Node.js/Type Script, Docker, Kubernetes on Azure AKS, Git Lab CI/CD, Jenkins, MongoDB.

• Experience leading distributed or multi‑site teams.

Three principles drive how we run engineering. They are also the best preview of what working here will feel like.

• Engineering owns delivery. The vertical chain (VP, Senior Director, Director, EM, Engineers) owns outcomes. There is no PMO running our schedules. Accountability follows control.

• Horizontal teams scale us, not own us. You will own end-to-end delivery. Technical Program Managers, Quality, Dev Ops, and Principal Engineers coordinate, automate, architect, and unblock. They support delivery; they do not own it.

• AI removes overhead, not accountability. We invest heavily in agentic tooling for status, risk detection, test generation, and reporting. The goal is to reduce the coordination tax on…