DT Advisor– AI Ops & Observability

DT Manager – AI Ops & Observability Would you like to help shape and implement our Digital Technology team’s strategic direction? Are you passionate in Technology, Software and Development? Join our CTO team! We operate at the heart of the digital transformation of our business. Our team is responsible for building the Enterprise Cloud infrastructure automation solutions that support the Baker Hughes Cloud strategy. From Public Cloud management to Service development, the Enterprise Cloud team provides automated solutions for Cloud and Application team requirements. As a team, we are relentlessly technical, passionate about automating everything, and totally committed to delivering amazing customer experiences. Partner with the best As an AI Ops Leader, you will be responsible for: Lead design, build and operations of enterprise observability platform based on elastic. Onboard full suite of 20,000 plus devices under observability umbrella Ensure SRE principles are applied and followed Responsible for discovery & topology of BH environment and data quality On-going management of data ingestion, cleansing and enrichment workflows Manage a team of 3 to 5 engineers (Automation team), ensure smooth and timely delivery of projects & platform updates Increase developer velocity Take BH observability to next level of technology evolution Coach & train cross BU application teams on best practices Observability Ensure on-going support meets operation SLAs Work with internal and external stakeholders to develop and deliver solutions Participate in complex/critical incident troubleshooting, complex change implementation Defining strategy and driving improvement ongoing with internal resources and/or vendors Resolving any automation team decisions Team tools and deployment methods Fuel your passion To be successful in this role you will: Minimum 12 years of experience 10+ years – SRE, DevOps, or Infrastructure Operations experience in enterprise-scale or mission-critical environments 7+ years – Cloud / Application / Platform operations and administration (AWS, Azure, hybrid or multi-cloud) 5+ years – Leading observability or monitoring programs, including architecture, governance, and scaling across distributed domains 5+ years – Automation, CI/CD, Infrastructure as Code (Terraform, Ansible) and scripting proficiency (Python, Bash, PowerShell, etc.) 3+ years – Team leadership or program management experience, including mentoring engineers and coordinating cross-functional stakeholders Preferred qualifications AWS/Azure Professional-level certification or equivalent Elastic Certified Engineer or equivalent observability certification/hands-on exposure Demonstrated experience in vendor management and working with professional services teams BE/BTech any (expect Civil & mechanical) Green Field, Brown Field deployments/migrations, driving platform adoption across organization. Familiarity with Agile/ITIL/DevOps frameworks for program execution Strong communication and stakeholder management skills — ability to present observability strategy and outcomes to leadership Must have Technical Skills Strong background in observability platforms (Elastic.io stack preferred: Elasticsearch, Kibana, Logstash, Beats, Elasticsearch, Kibana, Logstash, Beats, Elastic APM, and Fleet/Elastic Agent Ability to oversee lifecycle management (Kubernetes, Docker, Prometheus, and Grafana installation, patching, upgrades, scaling). Telemetry Fundamentals: Strong, practical understanding of fundamental observability concepts, including the collection and analysis of logs, metrics, traces, and synthetic monitoring. Experience leading enterprise-scale observability programs across distributed infrastructure domains (network, servers, VMs, AWS, Azure, databases). Ability to architect scalable ingestion pipelines and define enterprise-wide observability standards. Proven track record of program management — coordinating with professional services engineers, ensuring knowledge transfer, and driving in-house ownership. Strategic mindset to align observability initiatives with business needs in a critical industry (energy/oil & gas). Strong documentation and governance skills — defining standards, onboarding frameworks, and consumption guidelines for SMEs across domains. Incident management leadership — guiding SRE practices, ensuring effective monitoring, alerting, troubleshooting, and postmortems at scale. Proficiency in automation, DevOps, and infrastructure as code (Terraform, Ansible, CI/CD pipelines) to ensure repeatable deployments. Configuration Proficiency: Demonstrated proficiency in managing system configurations using YAML-based configurations. Knowledge of infrastructure as code (Terraform, Ansible) for repeatable automation. Strong understanding of AWS/Azure services relevant to ingestion and enrichment (e.g., Kinesis, Event Hub, Lambda, Functions). Data Presentation: Extensive experience in performance optimization, advanced data visualizati