In your career, let’s prove what’s possible.
- Define the enterprise architecture and technology strategy for Agentic AI, AIOps, autonomous operations, and intelligent automation.
- Establish architectural standards, design patterns, and governance frameworks for AI agents and multi-agent systems.
- Design the integration architecture connecting agents to enterprise systems including ServiceNow, cloud platforms, observability platforms, CMDB, developer platforms, and security tooling.
- Develop reference architectures for AI-powered incident response, service management, platform operations, FinOps, cybersecurity, and disaster recovery.
- Partner with executives and technology leaders to align agentic capabilities with business and operational priorities.
- Evaluate emerging technologies, frameworks, and vendors in AI, automation, platform engineering, and cloud-native ecosystems.
- Define policies, controls, and approval models that enable safe autonomous operations.
- Drive architecture reviews and technical governance across multiple engineering and operations teams.
- Mentor engineers and architects while fostering innovation and best practices.
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In your career, let’s prove what’s possible.
- Own the cloud platform reference architecture and roadmaps across AWS and Azure; align with enterprise architecture, security, data, and app teams.
- Define and maintain golden paths (IaC modules, pipeline templates, reference stacks) for common workloads (containers, serverless, data, analytics, batch).
- Establish multi-cloud landing zones (AWS Organizations + Control Tower; Azure Management Groups + Landing Zones) with policy, identity, and network guardrails.
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In your career, let’s prove what’s possible.
- Design and deliver self‑healing automation that proactively detects common failure conditions, automatically remediates known issues, and prevents incident recurrence
- Architect and operate one‑click resolution workflows that standardize recovery actions and significantly reduce dependency on manual intervention
- Design, implement, and maintain DevOps‑based automation for software packaging, deployment, and lifecycle management across corporate client endpoints
- Build and own CI/CD pipelines to ensure automation is versioned, tested, secure, and deployed reliably at scale
- Create and maintain robust scripts, tooling, and automation frameworks to eliminate manual operational effort and reduce MTTR
- Integrate automation and remediation logic with endpoint management, monitoring, and alerting platforms to enable event‑driven remediation
- Analyze incident trends and operational pain points to identify and prioritize high‑impact self‑healing use cases
- Partner with Client Services, Security, and other operations teams to align automation outcomes with reliability and risk objectives
- Continuously improve automation coverage, effectiveness, and resilience through metrics, operational feedback, and iterative enhancement
- Document automation solutions, remediation logic, and operational runbooks to support consistent adoption and long‑term maintainability
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