📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Hewlett Packard Enterprise 👥 Experience 2-5 years 🎓 Qualification 2–5 years. Hands-on with Python, AWS, GCP, Azure. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python AWS GCP Azure DevOps Machine Learning Data Pipelines Anomaly Detection AIOps Engineer at Hewlett Packard Enterprise — Full Details & How to Apply HP Enterprise seeks an AIOps Engineer in Bengaluru, Karnataka, India to design intelligent monitoring workflows using Python and cloud technologies. This role offers hands-on experience with AWS, GCP, and Azure in real-world operational environments. The AIOps Engineer role is essential for building data pipelines that collect and enrich logs, metrics, and events. These workflows support anomaly detection and machine learning models to improve incident response across cloud and on-premises systems. The responsibilities directly involve Python -based automation and cloud platform integration, enabling scalable monitoring solutions. Hewlett Packard Enterprise is seeking an AIOps Engineer in Bengaluru, Karnataka, India. The role is part of the Systems Software Engineering team and focuses on operational analytics through intelligent monitoring. The company emphasizes technical engineering skills and practical experience in cloud environments. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 2–5 years. Hands-on with Python, AWS, GCP, Azure. Relevant technical / engineering background and 2-5 years experience . The salary is Not Disclosed . Candidates will gain practical experience in Python , AWS , GCP , Azure , DevOps , Data Pipelines , and Anomaly Detection . This role provides a foundation in machine learning applications within IT operations, opening pathways to advanced roles in cloud automation and AI-driven system management. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. in Bengaluru, Karnataka, India are available through Hewlett Packard Enterprise recruitment . This onsite position is part of a growing demand for cloud-based monitoring solutions in the technology sector. Explore Bengaluru, Karnataka, India jobs with direct access to technical roles in cloud infrastructure and operations. Job Role & Responsibilities The AIOps Engineer at Hewlett Packard Enterprise designs and implements intelligent monitoring workflows to detect system anomalies in cloud and on-premises environments , using Python to automate incident detection and response. This role ensures operational stability by building scalable, real-time data pipelines and deploying machine learning models for predictive failure analysis. Design intelligent monitoring workflows using Python to process logs and metrics from AWS , GCP , and Azure environments. Build and optimize data pipelines that collect, normalize, and enrich logs , metrics , and events from cloud platforms using Python and DevOps tools. Collaborate with DevOps teams to automate remediation runbooks and integrate alerting with service management platforms like ServiceNow or Jira. Develop and deploy machine learning models to detect anomalies and forecast outages in cloud infrastructure using Python and data pipelines . Maintain and support codebases for monitoring and incident response workflows written in Python and hosted on AWS or GitHub . Document operational processes and support reporting for operational analytics improvements using metrics such as MTTR and MTBF. Troubleshoot system incidents by analyzing logs and metrics from AWS and azure services to reduce mean time to resolution by 20% or more. Implement anomaly detection models using machine learning and data pipelines to improve system reliability in on-premises and cloud environments. This role demands direct ownership of monitoring systems, where every decision impacts system uptime , incident resolution time , and predictive accuracy of failure forecasts across Hewlett Packard Enterprise infrastructure. Required Skills & Technical Competencies The AIOps Engineer must possess a strong foundation in Python , DevOps , and cloud platforms to execute core responsibilities such as anomaly detection , data pipeline development , and cloud infrastructure automation . Technical Skills Python — intermediate — used to develop monitoring workflows, build data pipelines , and deploy machine learning models for anomaly detection . AWS — intermediate — used to manage cloud infrastructure, store logs, and deploy monitoring services in Amazon S3 and CloudWatch . GCP — intermediate — used to implement data pipelines and monitoring solutions in Google Cloud Storage and Cloud Monitoring . Azure — intermediate — used to integrate with on-premises systems and deploy monitoring agents via Azure Monitor and Log Analytics . DevOps — intermediate — applied to automate incident response runbooks and integrate alerting with service management platforms . Machine Learning — intermediate — used to train models for anomaly detection and outage forecasting using Python libraries like Scikit-learn. Data Pipelines — intermediate — used to collect, normalize, and enrich logs and metrics from cloud services for real-time analytics. When showcasing these skills, emphasize specific projects involving Python scripts , cloud data pipelines , and anomaly detection models built on AWS or GCP platforms. Eligibility Criteria This role is designed for candidates with a technical engineering background , 2–5 years of hands-on experience, and a demonstrated ability to work with cloud platforms and Python-based automation tools. Must hold a degree in Computer Science, Engineering, or a related technical field with a minimum CGPA of 6.0 or equivalent. Eligible for batch years 2023, 2024, 2025, and 2026 only. Must have 2–5 years of hands-on experience in Python , cloud platforms , or DevOps environments. Experience with GitHub repositories, data pipelines , or cloud monitoring tools is required. Must have completed at least one technical project involving Python and cloud infrastructure (e.g., log analysis, anomaly detection ). Must demonstrate proficiency in data pipeline development or machine learning through portfolio work or academic projects. Documentation & Portfolio Requirements Your resume must include a technical project summary with clear tools used (e.g., Python , AWS ), data sources , and metrics achieved (e.g., 99.9% uptime, 30% faster anomaly detection ). Include links to GitHub repositories or live dashboards where applicable. For this role, prioritize showcasing a Python-based data pipeline that ingests logs from AWS or azure , performs anomaly detection , and reports on mean time to resolution — this directly aligns with the core responsibilities and technical expectations. Salary for AIOps Engineer at Hewlett Packard Enterprise 💰 Compensation Not Disclosed The advertised compensation for the AIOps Engineer role at Hewlett Packard Enterprise is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AIOps Engineer Upskilling with the right resources significantly enhances your chances of being selected for the AIOps Engineer role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for developing automation scripts and data processing tasks. AWS — Crucial for cloud infrastructure management and deployment. GCP — Important for leveraging Google Cloud services in your projects. Azure — Key for integrating Microsoft cloud solutions into your workflows. KodNest — Useful for enhancing coding skills and understanding software development practices. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python — Provide specific examples of your Python projects. ❌ Using a generic resume — Tailor your resume to the specific responsibilities outlined in the job description. ❌ Listing AWS, GCP, or Azure without details — Explain how you applied these technologies in previous roles. ❌ Ignoring the experience requirement — Ensure you meet the 2-5 years of experience needed for this position. ❌ Adding unrelated technologies — Stick to relevant skills that can be substantiated. ❌ Submitting an application without verifying the Apply URL — Always check the official job details before applying. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for AIOps Engineer Optimizing your resume for ATS is crucial for ensuring your application gets noticed for the AIOps Engineer role. ATS Keywords to Include Python AWS GCP Azure DevOps Machine Learning Data Pipelines Anomaly Detection Incident Response Monitoring Operational Analytics Predictive Models Resume Tips for This Role Highlight Python prominently on your resume, as it is a key skill required for the role. Emphasize experience with AWS , GCP , and Azure , as these technologies are crucial for the responsibilities. Showcase a project that involved building data pipelines or monitoring systems using the listed technologies. Use exact keywords from the job description naturally in your resume to align with ATS requirements. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated experiences or unsupported claims in your resume for this role. How to Apply for AIOps Engineer at Hewlett Packard Enterprise Apply Now — Hewlett Packard Enterprise Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirements. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Hewlett Packard Enterprise NexisGrow.com does not charge any fees for job applications. Hewlett Packard Enterprise Hewlett Packard Enterprise is a technology company based in Bengaluru, Karnataka, India. This AIOps Engineer role is onsite and operates within the technology industry, supporting cloud and on-premises systems through advanced operational analytics and automation. The team designs intelligent monitoring workflows, builds data pipelines for logs and metrics, and develops machine learning models to detect anomalies and forecast outages. They collaborate with DevOps and site reliability teams to improve system reliability and performance. This role supports HPE’s focus on operational excellence by enabling real-time insights and automated responses across distributed systems. Early-career professionals gain hands-on experience with Python , AWS , GCP , Azure , DevOps , and machine learning —key tools used in building intelligent, scalable operational systems. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 hpe.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 2-5 years of experience from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer The most important skills include Python, AWS, GCP, Azure, DevOps, Machine Learning, and Data Pipelines. ? What is the expected salary for this position? Salary Tap to expand + Answer The expected salary is Not Disclosed as per the job data. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and cloud technologies (AWS, GCP, Azure). 2. Understand data pipeline development. 3. Familiarize yourself with machine learning concepts. 4. Prepare to discuss DevOps practices. 5. Be ready to explain your experience with incident response. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Bengaluru, Karnataka, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to cloud technologies, operational analytics, and collaboration with DevOps teams, enhancing technical skills and industry knowledge. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, AWS, GCP, Azure, and experience in building data pipelines and monitoring systems. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with DevOps and site reliability teams, working onsite in Bengaluru. ? Can freshers apply for this role? Fresher Tap to expand + Answer Freshers are not explicitly accepted as the experience requirement is 2-5 years. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Hewlett Packard Enterprise Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com