Senior DevOps Engineer (FDE)
Shuru · Bengaluru · onsite · Posted 65d ago
Not disclosed10–15 yrsfulltimeSourced from
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About this role
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 optimization, capital efficiency, workforce productivity, and executive decision-making.
Key Responsibilities
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 optimization, capital efficiency, workforce productivity, and executive decision-making.
Key Responsibilities
- Engagement with Client executives and IT leaders to understand current operations.
- Own end-to-end outcome definition, prioritization, delivery path, and measurable impact for each transformation
engagement. - Lead Sprint execution along with Platform engineer and AI Engineering specialist.
- Translate proven outcomes into outcome-based contract proposals in partnership with Account and Sales teams.
- 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, prioritization and scope trade-offs.
- Hands-on depth/experience in at least one mandatory infrastructure domain: secure networking, cybersecurity, data center 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 a 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.
- Outcome discovery and problem framing: ability to convert observed client pain points into scoped outcome opportunities.
- Product and offer management: ability to own roadmap, prioritization, 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.
- Competitive salary and benefits package.
- Work with experienced product and engineering leaders.
- Opportunities for learning, mentorship, and career growth.
- A chance to make a real impact across diverse, innovative projects.
Sourced from foundit
Skills
commercial and pricing modelsEoX managementgainshareincident and escalation management lifecycleoutcome-based pricingSLA-based governancevalue-linked modelsAutomationitsmAgentic workflowsAIOpsSOC operationsIT OpsAsset ManagementNOCPatchingsecure networkingPerformance GovernanceAI-assisted OperationsAI-native PlatformsCyber SecurityService AssuranceData Center Infrastructure