Senior DevOps Engineer (FDE)

• 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.
  

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, 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.
  
  

Benefits

• 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.