Enterprise Architect – Engineering Operations Lead

About RADcube LLC

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.

Work Location : Hyderabad,

Shift timings - 6PM IST - 3 AM IST

Key Responsibilities:

Leadership & Delivery Operations

• 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.

DevOps & SDLC Governance

• Define and enforce SDLC standards (branching, PR/code review, DoR/DoD, test strategy, peer reviews).
• Lead CI/CD and environments strategy; oversee release/change/incident/problem management (ITIL-aligned).
• 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.

Architecture & Diagrams (Apps / Integration / Infra / Data / Process)

• Design scalable enterprise solutions using cloud and microservices where appropriate.
• Produce and maintain clear diagrams ): 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.

Cross-Functional Coordination & Process Automation:

• 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.

Client-Facing Communication & Executive Presence

• Prepare and deliver client presentations, architecture reviews, and executive status readouts.
• Create concise briefs, options analyses, and RACI for major initiatives.

AI/Automation (Supportive, not primary)

• Where relevant, help teams incorporate automation and AI to improve quality, speed, or cost—without making AI the job's core.

Ideal Candidate Profile:

• 8–12 years in software engineering/enterprise architecture or full-stack development, with 3+ years leading teams or engineering operations.
• Proven ownership of SDLC governance & DevOps (Git workflows, CI/CD, environments, release/change/incident management).
• Strong cloud experience (Azure/AWS/GCP) and microservices/API fundamentals; comfortable reviewing and guiding code-level decisions.
• Excellent communication & presentation skills; credible with clients and executives.
• Advanced diagramming skills (Visio, Lucidchart, ) across app/infra/data/process views.
• Demonstrated ability to prioritize, sequence, and deliver across multiple teams; vendor management a plus.
• Familiarity with security/compliance practices (e.g., ISO 27001/SOC 2) and cost governance.
• Track record of problem solving, team leadership, and mentoring; drives continuous improvement.
• Nice to have
• Exposure to automation/AI/RAG patterns to support teams when appropriate.
• Hands-on experience with Java, Python, (or similar) for informed design/code reviews.