DevOps Engineer - Digital Technology Specialist

Baker Hughes Oilfield Services India Private Limited

Bengaluru

On-site

INR 1,500,000 - 2,800,000

Full time

14 days+

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Job summary

Baker Hughes Oilfield Services India Private Limited seeks a Senior AI Ops Engineer to own and operate enterprise observability across cloud, on-prem, and hybrid environments. You will implement Elastic-based observability, onboard thousands of devices, and deliver dashboards, alerts, and runbooks to improve reliability and performance.

The role emphasizes automation, IaC, and incident response, collaborating with cloud, infrastructure, and application teams to maintain uptime and service

Qualifications

Strong background in observability platforms and telemetry collection across logs, metrics, traces, and APM
Experience administering Elastic Observability platforms end-to-end
Proficiency in scripting (Python, Bash, PowerShell) for automation
Experience with CI/CD pipelines and IaC tools (GitHub Actions, Terraform, Ansible)
Knowledge of cloud platforms (AWS/Azure) and multi-cloud setups

Responsibilities

Implement and manage enterprise observability platforms based on Elastic Stack
Onboard and integrate 20,000+ devices under observability
Build dashboards, alerts, and operational reports for tech teams
Lead data ingestion, parsing, enrichment, and retention processes
Support incident investigation and root-cause analysis using observability data

Skills

Observability expertise

SRE practices

Data analysis

Automation scripting

Collaboration across teams

Education

AWS Associate certification

Elastic Certified Engineer

Tools

Kibana

Elastic Stack

Docker

Kubernetes

Grafana

Job description

Digital Technology Specialist - DevOps Engineering Digital Technology Specialist - DevOps Engineering 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.

Fuel your passion

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.

Preferred qualifications

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

Must have Technical Skills

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.

Work in a way that works for you

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

Working with us

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.

Working for you

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: