DevOps Engineer - Digital Technology Specialist
Baker Hughes Oilfield Services India Private Limited
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Benefits offered by this job
Job summary
Baker Hughes Oilfield Services India Private Limited seeks a Digital Technology Specialist - DevOps Engineering to drive and operate enterprise observability platforms. You will implement, maintain, and scale elastic-based observability, dashboards, and alerts across cloud and on-prem environments.
You will collaborate with cloud, infra, and SRE teams, automate deployments with IaC, and contribute to incident response and continuous improvement of monitoring coverage.
Qualifications
- 7+ years – SRE/DevOps in enterprise-scale environments.
- 5+ years – Cloud/Platform operations (AWS, Azure, hybrid or multi-cloud).
- 5+ years – Automation, CI/CD, scripting (Python, Bash, PowerShell, Ruby).
- 5+ years – Containers and cloud-native platforms (Docker, Kubernetes, Prometheus, Grafana).
- 3+ years – Administer Elastic Observability platforms end-to-end.
Responsibilities
- Implement and manage life cycle of observability platform based on elastic tech stacks, including Kibana, Logstash, Beats, Elastic APM, Fleet.
- Onboard 20,000+ devices under observability umbrella.
- Onboard infrastructure, cloud services, applications, and platforms into observability and monitoring solutions.
- Build and maintain dashboards, visualizations, alerts, and operational reports for technology teams.
- Configure log, metric, trace, uptime, and APM data collection across environments.
- Assist with data ingestion, parsing, enrichment, and retention activities.
- Support incident investigation, troubleshooting, and root cause analysis using observability data.
- Collaborate with cloud, infrastructure, application, and SRE teams to improve system reliability and visibility.
- Contribute to automation initiatives using scripting, IaC, and repeatable deployment practices.
- Participate in platform upgrades, patching, and capacity planning.
Skills
Tools
Job description
Would you like to help shape and implement our Digital Technology teams' strategic direction? Are you passionate about helping improve observability and digital operations? Join our Digital Technology team! We operate at the heart of Baker Hughes digital transformation journey. Our team delivers enterprise observability and AIOps capabilities that help technology teams detect issues earlier, troubleshoot faster, and improve service performance across cloud, infrastructure, and application environments.
Partner with the best
As a DevOps Engineer you will support the implementation, enhancement, onboarding, and day-to-day operations of observability platforms, with a focus on Elastic Stack capabilities and practical SRE-driven operational outcomes.
As a Senior AI Ops Engineer, you will be responsible for:
- Implement and manage the life cycle of enterprise observability platform based on elastic tech stacks [not limited to] Kibana, Logstash, Beats, Elastic Agent, Fleet, Elastic APM components, etc.
- Onboard full suite of 20,000 plus devices under observability umbrella
- Onboarding infrastructure, cloud services, applications, and platforms into observability and monitoring solutions.
- Building and maintaining dashboards, visualizations, alerts, and operational reports for technology teams.
- Configuring log, metric, trace, uptime, and APM data collection across supported environments.
- Assisting with data ingestion, parsing, enrichment, and retention activities.
- Supporting incident investigation, troubleshooting, and root cause analysis using observability data.
- Collaborating with cloud, infrastructure, application, and SRE teams to improve system reliability and service visibility.
- Contributing to automation initiatives using scripting, Infrastructure as Code, and repeatable deployment practices.
- Participating in observability platform upgrades, patching, performance tuning, and operational support activities.
- Creating and maintaining runbooks, knowledge articles, dashboards standards, and operational runbooks related documentation.
- Contributing to continuous improvement of observability practices, monitoring coverage, and operational readiness.
- Have 7+ years – SRE/DevOps experience in enterprise-scale or mission-critical environments
- Have 5+ years – Cloud / Application / Platform operations and administration (AWS, Azure, hybrid or multi-cloud)
- Have 5+ years – Automation, CI/CD, and scripting proficiency (Python, Bash, PowerShell, Ruby, or equivalent)
- Have 5+ years - Exposure to containers and cloud-native platforms such as Docker, Kubernetes, Prometheus, or Grafana.
- Have 3+ years – Proven experience administering Elastic Observability platforms across the full lifecycle, including deployment, maintenance, upgrades, patching, and capacity scaling.
- AWS or Azure Associate-level certification, or equivalent practical cloud operations experience.
- Elastic Certified Engineer or equivalent observability platform certification
- Familiarity with infrastructure as code (GitHub Actions, CloudFormation, Terraform, Ansible) for repeatable automation
- Exposure to cloud-native observability frameworks (Open Telemetry, service meshes)
- Experience documenting runbooks, playbooks, and consumption guides for SMEs
- Process knowledge such as Agile and/or ITIL
Strong background in observability platforms ( Elastic.io stack preferred : Elasticsearch, Kibana, Logstash, Beats, Elastic APM, and Fleet/Elastic Agent) Telemetry Fundamentals : Strong, practical understanding of fundamental observability concepts, including the collection and analysis of logs, metrics, traces, and synthetic monitoring.
Experience with administration of leading observability platforms (Grafana, Graylog, Splunk, Sumo Logic, Tanzu, or open-source equivalents) including lifecycle management ( Kubernetes, Docker, Prometheus, and Grafana installation, patching, upgrades, scaling).
Strong knowledge of distributed infrastructure domains (network, servers, VMs, AWS, Azure, databases) from an observability perspective. Proven ability to design and tune scalable ingestion pipelines for diverse, globally distributed data sources. Flexibility to adapt and evolve observability standards per domain needs while ensuring consistency across the enterprise.
Operational ownership mindset — accountable for uptime, reliability, and lifecycle management of the hosted observability platform.
Incident management and SRE practices: monitoring, alerting, troubleshooting, root cause analysis, and postmortems.
Proficiency in automation and scripting (Python, Bash, PowerShell, Ruby, etc.) for ingestion, upgrades, and operational tasks.
Familiarity with REST APIs and tools like Postman, plus DevOps constructs (GitHub, Jenkins, CI/CD pipelines, serverless technologies).
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 visualization , and sophisticated dashboarding using Kibana (or similar platforms).
Ability to document and enable SMEs with clear runbooks, onboarding guides, and consumption standards.
Collaboration skills to guide Infra domain SMEs on onboarding data sources and consuming observability outputs.
Good-to-Have Exposure to cloud-native observability frameworks (Open Telemetry, service meshes).
Basic understanding of shared infrastructure services (DNS, DHCP, Active Directory, SSL, load balancing).
Experience with hybrid deployments (on-prem + cloud) and handling data sovereignty/regulatory considerations in global industries.
Security monitoring and compliance awareness relevant to IT domains.
Contribution to observability best practices (dashboards, alerting strategies, operational standards).
Mentoring and cross-training skills to expand in-house observability expertise.
Process knowledge like Agile and/or ITIL.
AWS Professional-level certification, or the ability to demonstrate equivalent functional knowledge and expertise.
Desired Characteristics Strong analytical and troubleshooting skills. Clear written and verbal communication skills. Ability to collaborate with application, infrastructure, cloud, and operations teams. Self-motivated with a passion for learning new technologies. Customer-focused mindset and commitment towards operational excellence. Ability to work independently and as part of a globally distributed team. Proactive approach to maintaining documentation, fostering knowledge transfer, and supporting continuous service improvement.
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too.
In this role, we can offer the following flexible working patterns:
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today.
We prioritize rewarding those who embrace change with a package that reflects how much we value their input.
Join us, and you can expect:
- Contemporary work-life balance policies and wellbeing activities
- Comprehensive private medical care options
- Safety net of life insurance and disability programs
- Tailored financial programs
- Additional elected or voluntary benefits
The Baker Hughes internal title for this role is: Digital Technology Specialist - DevOps Engineering Experience Level Mid Level
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