- Define and execute the enterprise AI DevOps vision, roadmap, and platform strategy.
- Design scalable AI-enabled DevOps platforms that improve software delivery, operational efficiency, and developer productivity.
- Evaluate emerging AI technologies and recommend solutions that align with business and engineering objectives.
- Establish enterprise standards, governance models, and architectural principles for AI-driven DevOps platforms.
- Architect enterprise CI/CD platforms supporting secure, scalable, and automated software delivery.
- Design intelligent deployment pipelines incorporating AI-assisted validation, testing, and release automation.
- Define automation strategies for developer self-service, infrastructure provisioning, and platform operations.
- Establish platform engineering standards that improve scalability, reliability, and developer experience.
- Design enterprise AIOps architecture for proactive monitoring, anomaly detection, incident prediction, and automated remediation.
- Define enterprise observability strategy covering metrics, logs, traces, dashboards, and operational intelligence.
- Integrate AI-driven monitoring solutions with enterprise DevOps platforms to improve operational resilience.
- Architect secure software delivery pipelines by integrating DevSecOps controls into CI/CD workflows.
- Define governance frameworks for AI-enabled DevOps environments, ensuring compliance, security, and operational consistency.
- Establish enterprise standards for AI governance, automation security, and platform reliability.
- Lead and mentor DevOps and Platform Engineering teams.
- Collaborate with Enterprise Architects, AI Engineering, Security, Cloud, and Application Development teams.
- Conduct architecture reviews, technology assessments, and solution design workshops.
- Drive engineering excellence, innovation, and continuous improvement initiatives.
- 12+ years of experience in DevOps, Platform Engineering, Cloud Engineering, or Automation Engineering, with at least 4 years in an Architecture or Technical Leadership role.
- Proven experience defining enterprise DevOps and AI automation strategies.
- Strong expertise in designing enterprise CI/CD platforms and DevOps automation frameworks.
- Experience architecting AI-powered automation solutions for software delivery and platform operations.
- Hands-on experience designing and implementing Agentic AI architectures and orchestration frameworks.
- Strong understanding of Large Language Models (LLMs) and AI-assisted software engineering.
- Experience designing intelligent workflow orchestration using modern AI automation frameworks.
- Experience with AWS or Azure cloud platforms.
- Proven expertise implementing enterprise AIOps platforms for:
- Intelligent monitoring
- Anomaly detection
- Incident prediction
- Automated remediation
- Strong scripting and automation expertise using:
- Python
- Bash
- PowerShell
- Experience architecting enterprise DevOps platforms including:
- GitHub Enterprise
- Azure DevOps
- Experience integrating:
- LLM APIs
- AI automation frameworks
- Workflow orchestration platforms
- Strong understanding of:
- Observability architecture
- Monitoring
- Centralized logging
- Distributed tracing
- Alerting frameworks
- Excellent stakeholder management, solution architecture, and technical leadership skills.
- Experience with LangChain, AutoGen, CrewAI, Semantic Kernel, or similar Agentic AI frameworks.
- Knowledge of Model Context Protocol (MCP) and AI agent orchestration.
- Experience with Langfuse, OpenTelemetry, Prometheus, Grafana, ELK/OpenSearch, or Datadog.
- Experience with GitHub Copilot Enterprise or other AI coding assistants.
- Knowledge of Kubernetes, Docker, Terraform, or OpenTofu.
- Experience with Policy-as-Code (OPA, Rego, Kyverno).
- Experience with AWS, Azure, or GCP cloud-native AI services.
- Familiarity with Platform Engineering, Internal Developer Platforms (IDP), and GitOps practices.
- Knowledge of AI governance, responsible AI principles, and security frameworks for AI systems.
- Relevant certifications in Cloud Architecture, Kubernetes, AI Engineering, or DevOps.
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What We Do
@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry
