Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AIOps Engineer based in India.
This role offers the opportunity to shape enterprise monitoring and observability strategies through advanced automation and AI-driven solutions.
You will help design, implement, and optimize platforms that improve incident detection, prediction, and resolution across complex IT environments.
The position combines expertise in monitoring technologies, machine learning concepts, cloud platforms, and IT service management practices.
You will collaborate with technical teams and business stakeholders to deliver proactive, data-driven operational improvements.
The role provides exposure to modern observability tools, automation frameworks, and enterprise-scale transformation initiatives.
You will contribute to building smarter, more resilient IT operations through innovative AIOps capabilities.
Accountabilities:
The AIOps Engineer will support the development and execution of enterprise observability and event management strategies. This role focuses on improving operational efficiency through monitoring optimization, AI-driven automation, predictive analytics, and collaboration across technology teams.
- Assist in defining and implementing a comprehensive monitoring strategy covering metrics, logs, traces, alerts, dashboards, and reporting capabilities.
- Design and integrate modern observability and predictive analytics platforms to support AIOps initiatives.
- Apply AI and machine learning techniques to improve incident detection, forecasting, diagnosis, and automated resolution processes.
- Support event management improvements by leveraging automation and intelligent monitoring capabilities.
- Collaborate with IT teams, business stakeholders, production support teams, and end users to align monitoring objectives and requirements.
- Evaluate, recommend, and integrate monitoring tools and platforms with existing enterprise systems and processes.
- Develop and maintain service level agreements (SLAs), key performance indicators (KPIs), and reporting frameworks to measure operational performance.
- Provide guidance and support to stakeholders on using monitoring insights to improve reliability and efficiency.
- Contribute to monitoring and automation tool roadmaps by identifying opportunities for innovation and optimization.
- Work closely with product teams and operational groups to understand business needs and deliver scalable solutions.
Requirements:
The ideal candidate has strong experience in monitoring, event management, observability, and IT operations, with the ability to work across complex enterprise technology environments.
- Strong background in monitoring, observability, and event management solutions.
- Hands-on experience with platforms such as SL1 and ServiceNow IT Operations Management (ITOM).
- Understanding of AIOps concepts, including predictive analytics, automation, and AI-driven incident management.
- Experience working with multi-cloud environments and enterprise IT infrastructure.
- Solid knowledge of ITIL processes, particularly incident, problem, and event management.
- Experience designing monitoring strategies across metrics, logs, traces, alerts, dashboards, and reporting.
- Ability to evaluate and integrate monitoring tools with existing enterprise systems.
- Strong analytical and problem-solving skills with the ability to identify operational improvements.
- Excellent communication and collaboration skills when working with technical teams, stakeholders, and business users.
- Ability to manage priorities, work independently, and contribute effectively in a remote environment.
Benefits:
- Fully remote work environment with the flexibility to work from anywhere in India.
- Full-time contract opportunity with potential extension based on business needs.
- Opportunity to work on enterprise-scale AIOps, observability, and automation initiatives.
- Exposure to modern AI-driven operational technologies and cloud platforms.
- Collaboration with global technical teams and business stakeholders.
- Opportunity to contribute to innovative solutions that improve IT reliability and efficiency.
- Flexible working structure aligned with international teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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