Digital Technology Senior Specialist – Observability & AI Ops
Baker Hughes1 day ago
Pune, India or Mumbai, IndiaSenior
Responsibilities
- Implement and manage the lifecycle of enterprise observability platforms based on Elastic technologies.
- Onboard more than 20,000 devices, infrastructure, cloud services, applications, and platforms into observability solutions.
- Build and maintain dashboards, visualizations, alerts, operational reports, and observability standards.
- Configure collection and analysis of logs, metrics, traces, uptime, APM, and synthetic monitoring data.
- Support data ingestion, parsing, enrichment, retention, scalable ingestion pipelines, and data-source onboarding.
- Investigate incidents, troubleshoot issues, perform root cause analysis, and contribute to postmortems.
- Collaborate with cloud, infrastructure, application, and SRE teams to improve reliability and service visibility.
- Automate ingestion, upgrades, and operational tasks using scripting, infrastructure as code, and repeatable deployment practices.
- Participate in platform upgrades, patching, capacity scaling, performance tuning, and day-to-day operational support.
- Create and maintain runbooks, playbooks, knowledge articles, onboarding guides, and consumption standards.
- Mentor and cross-train teams while contributing to continuous improvement and operational readiness.
Requirements
- 7+ years of SRE or DevOps experience in enterprise-scale or mission-critical environments.
- 5+ years of cloud, application, platform operations, and administration experience across AWS, Azure, hybrid, or multicloud environments.
- 5+ years of automation, CI/CD, and scripting experience with Python, Bash, PowerShell, Ruby, or equivalent.
- 5+ years of experience with containers and cloud-native platforms such as Docker, Kubernetes, Prometheus, or Grafana.
- 3+ years administering Elastic Observability platforms across deployment, maintenance, upgrades, patching, and capacity scaling.
- Strong experience with Elasticsearch, Kibana, Logstash, Beats, Elastic APM, Fleet, and Elastic Agent.
- Experience administering observability platforms such as Grafana, Graylog, Splunk, Sumo Logic, Tanzu, or open-source equivalents.
- Strong understanding of logs, metrics, traces, synthetic monitoring, distributed infrastructure, databases, and cloud services.
- Experience designing and tuning scalable ingestion pipelines for globally distributed data sources.
- Familiarity with infrastructure as code using Terraform, Ansible, CloudFormation, or GitHub Actions.
- Experience with OpenTelemetry, service meshes, REST APIs, Postman, GitHub, Jenkins, serverless technologies, and YAML-based configuration.
- Knowledge of AWS and Azure services relevant to ingestion and enrichment, including Kinesis, Event Hub, Lambda, and Functions.
- Strong dashboarding, data visualization, performance optimization, documentation, troubleshooting, and collaboration skills.
- Preferred qualifications include AWS or Azure Associate-level certification, Elastic Certified Engineer certification, AWS Professional-level certification, or equivalent practical experience.
- Familiarity with Agile or ITIL, hybrid deployments, data sovereignty, regulatory considerations, security monitoring, DNS, DHCP, Active Directory, SSL, and load balancing.
Benefits
- Flexible working hours.
- Contemporary work-life balance policies and wellbeing activities.
- Comprehensive private medical care options.
- Life insurance and disability programs.
- Tailored financial programs.
- Additional elected or voluntary benefits.
Tech Stack
Categories
About Baker Hughes
Baker Hughes builds equipment, software, and services for energy and industrial operators, spanning oilfield services, turbomachinery and process solutions, LNG and subsea systems, and emissions and asset management. It generates revenue through product sales, long-term service, and digital offerings. A public company (NASDAQ: BKR) headquartered in Houston, it operates in more than 120 countries and organizes its business into Oilfield Services & Equipment and Industrial & Energy Technology.