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Salary
≈ $20k – $42k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 10+ years exp
Employment
Full-Time

First seen by Alion on Aug 27, 2026.

Overview
Company
Impact
Profile match
Shuru is a tech firm utilizing AI, AR/VR, IoT, and Blockchain to offer services like software development, infrastructure, data management, and more to clients including Flipkart, Snapdeal, Gopay, and others.

Shuru is an AI-native engineering services company building products with leading startups, enterprises, and well-funded scale-ups across India, Southeast Asia, the UAE, and global markets. Our engineers work in small, dedicated squads, ship in weekly cycles, and use AI-assisted development tools such as Cursor, Claude Code, and GitHub Copilot as a standard part of how we build. We hire for fundamentals, give engineers real ownership, and back them with a culture that respects deep work. We are hiring a Forward-Deployed Engineer Lead for Infrastructure Services to work directly with enterprise clients and transform legacy infrastructure support into measurable, agentic, software-defined outcomes.

In this role, you will identify high-value operational challenges, translate them into Outcome-Driven Models (ODMs), validate solutions through design-partner sprints, and convert proven outcomes into scalable services. You will operate at the intersection of infrastructure services, AI-assisted operations, product and offer management, and commercial value creation. As infrastructure becomes a critical business control system in the AI era, your work will directly influence resilience, risk reduction, cost optimisation, capital efficiency, workforce productivity, and executive decision-making.

Responsibilities:

  • Engage with Client executives and IT leaders to understand current operations.
  • Own end-to-end outcome definition, prioritisation, delivery path, and measurable impact for each transformation engagement.
  • Lead Sprint execution along with a Platform engineer and AI Engineering specialist.
  • Translate proven outcomes into outcome-based contract proposals in partnership with Account and Sales teams.

Requirements

  • 10 to 15 years of overall professional experience in infrastructure services, managed services, enterprise technology, consulting, product management or transformation roles.
  • Minimum 3 years in a role with direct product, offer or outcome-roadmap ownership. This may be titled Product Manager, Offer Manager, Transformation Lead, Solution Lead or senior technical/delivery leadership role with clear accountability for roadmap, prioritisation, and scope trade-offs.
  • Hands-on depth/experience in at least one mandatory infrastructure domain: secure networking, cybersecurity, data centre infrastructure.
  • Practical exposure to ITOps, NOC/SOC operations, ITSM, incident and escalation management, lifecycle/EoX management, patching, asset management, or service assurance.
  • Direct exposure to commercial and pricing models in an infrastructure services context, such as SLA-based governance, outcome-based pricing, performance governance, gainshare or value-linked models.
  • Experience engaging enterprise clients and operating in regulated or high-governance environments such as banking, financial services, healthcare, energy, public sector or similarly controlled industries.
  • Working exposure to AI-assisted operations, AIOps, automation, agentic workflows or AI-native platforms.
  • Deep AI/ML engineering expertise is not mandatory, but conceptual fluency is required.

Required Skills:

  • Outcome discovery and problem framing: ability to convert observed client pain points into scoped outcome opportunities.
  • Product and offer management: ability to own roadmap, prioritisation, backlog, trade-offs and value hypotheses.
  • Executive storytelling: ability to translate infrastructure signals into business-outcome language for CIO, COO, CFO, CISO and transformation leaders.
  • Data literacy: comfort with baseline creation, KPI instrumentation, before/after proof metrics, dashboards and business-value reporting.
  • AI operations fluency: working knowledge of agentic or AI-assisted operations, multi-agent orchestration, human-in-the-loop controls, explainability and governance.
  • Cross-functional orchestration: ability to coordinate Sales, Platform, Engineering, Service Line, Delivery and client-side stakeholders without losing outcome accountability.
  • Commercial thinking: ability to connect technical proof to contract-ready business value.
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