Manager, Software Engineering
Listed on 2026-08-27
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Software Development
Software Project Mgr/ Lead, Software Architect, DevOps
Toshiba Global Commerce Solutions is seeking a Software Engineering Managerto 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'sdemonstratedexperience, team size, and product complexity. Strong tech leadsmovinginto management for the firsttimeand 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 havelikely usedour 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.
As a Software Engineering Manager you will: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, andthe hardconversations. Youtake actionearly. - Technical fluency
. You stay close enough to the code to be useful in design reviews, debug a production issue, and challenge a tradeoff.
Youpartner 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. Youown customer escalations affecting your scope and meet SLAs.
Required Qualifications and
Experience:
- 5-10+ years in software development, including 3-10years inleadershipor manager role.
- Bachelor’s degree in computer science, Engineering, or equivalent.
- A strong software engineering background witha track recordof 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 whenneededexited 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,inthe same day.
- A track recordof 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 willownend-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 engineers and managers.
You will…
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