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RADcube is seeking a hands-on engineering leader to serve as the VP’s right-hand partner for delivery execution and enterprise architecture. This role blends people leadership, DevOps/SDLC governance, cross-functional collaboration, and client-facing communication. You will coordinate priorities across business units, keep delivery on track, standardize engineering practices, and produce clear architecture/infra/process diagrams that guide teams and inform executives and clients. We are looking for a highly skilled Enterprise Architect with 8-12 years of experience to lead full-stack development initiatives. This role is ideal for technology leaders who have strong hands-on expertise in modern architectures, cloud platforms, and AI-based enterprise solutions.
Job Responsibility:
Own day-to-day engineering operations: planning, sprint/release cadence, risk & dependency management, capacity, and transparent status
Translate strategy into quarterly roadmaps with milestones, budgets, and measurable outcomes
surface trade-offs early with options
Coach tech leads
partner with HR on hiring, onboarding, growth plans, and performance feedback
Define and enforce SDLC standards (branching, PR/code review, DoR/DoD, test strategy, peer reviews)
Track quality gates (automated test coverage, escape rate, MTTR/MTBF, change failure rate) and drive continuous improvement
Establish engineering best practices for full-stack development, integration patterns, reliability, and scalability
Design scalable enterprise solutions using cloud and microservices where appropriate
Produce and maintain clear diagrams (Visio/Lucid/draw.io): reference architectures, integration maps, infra topologies, data flows, and process swimlanes
Guide teams on API standards, observability, resilience, and cost/performance trade-offs
Ensure adherence to security, privacy, and compliance expectations (e.g., ISO 27001/SOC 2)
Provide architectural guidance and mentoring
review designs for cloud readiness (AWS/Azure/GCP), scalability, security, and availability
Align with Product, PMO, QA, Security, Data, and Finance on scope, sequence, and success criteria
Facilitate decision forums
convert ambiguous requirements into executable plans with owners and dates
Optimize resource planning and leverage automation to improve cost efficiency and throughput
Prepare and deliver client presentations, architecture reviews, and executive status readouts
Create concise briefs, options analyses, and RACI for major initiatives
Where relevant, help teams incorporate automation and AI to improve quality, speed, or cost—without making AI the job’s core
Requirements:
7–12 years in software engineering/enterprise architecture or full-stack development, with 3+ years leading teams or engineering operations
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