Work with AIOps specialists who make reliability scale. By applying machine learning to operational data, they surface root causes faster, prevent repeat incidents, and automate remediation so uptime improves without adding headcount.
Work with AIOps engineers for hire who replace alert overload with clear signals, faster diagnosis, and forward-looking operational insight. Designed for large, complex environments where uptime is non-negotiable.
From data ingestion strategies to dashboard visualization and alerting, our experts take ownership of your entire operational intelligence journey.
Senior engineers craft complex algorithms using Python, TensorFlow, and Scikit-learn to identify subtle performance deviations before they become critical outages.
Work with AIOps engineers for hire to build closed-loop automation using Ansible and Terraform, allowing systems to self-correct issues without human intervention.
Get the right talent for your specific needs. Whether you need an AIOps Architect for strategy or a Site Reliability Engineer (SRE) for implementation, we provide flexible options.
Drive sustained operational efficiency through intelligent event correlation, filtering out false positives, and focusing teams on high-priority incidents.
Find AIOps engineers for hire with hands-on skills in Splunk, Dynatrace, and ELK Stack. Entrans provides top-tier professionals to build, configure, and scale your intelligent IT operations.
Our team engineers future-proof systems. Hire AIOps developers that set up capacity planning models and predictive alerts to handle traffic spikes and resource constraints proactively.
AIOps engineers for hire to develop custom logic using Moogsoft or BigPanda. We aggregate thousands of logs and metrics to pinpoint the single root cause of complex system failures.
Our experts build robust data pipelines. Hire AIOps developers to integrate diverse data sources (Servers, Cloud, IoT) into centralized platforms like Elasticsearch or Datadog for real-time analysis.
We execute rigorous resilience testing. AIOps engineers for hire to perform Chaos Engineering (Gremlin) experiments, ensuring your AI models and automation scripts respond correctly under pressure.
Entrans’ AIOps engineers manage CI/CD integration and monitoring tools. We provide 24/7 SRE support and maintain runbooks to ensure long-term system reliability.
We establish comprehensive diagnostic workflows. AIOps engineers for hire skilled in trace analysis to drastically reduce Mean Time to Resolve (MTTR) by automating the investigation process.
Technical Stack: Flutter, Angular, Python, FastAPI, LLM Integration
Sales and Support teams were bottlenecked by high inquiry volumes, struggling with repetitive tasks and disconnected CRM tools.
We engineered Thunai, a custom AI agent, to automate routine tasks and provide instant, accurate responses. This solution streamlined workflows, integrated seamlessly with their CRM, and significantly boosted operational efficiency.
Technical Stack: Next.js (SSG), Strapi, Tailwind CSS, Vercel
A leading Fintech services company was limited by its slow, monolithic WordPress site, which hurt its SEO and content workflow. We migrated them to a headless architecture with Next.js for Static Site Generation and Strapi as the CMS.
The new platform had better functionality and a better UX for users uploading bills, statements, and receipts for reconciliation.
Entrans provides specialized AIOps development teams that ensure data accuracy, alert reduction, and rapid incident response. Our pre-vetted network offers deep expertise in Machine Learning, DevOps, and Site Reliability Engineering, delivered through adaptive engagement models that integrate seamlessly with your NOC/SOC teams.
Identify high-impact opportunities and stability gaps that need AIOps Engineer roles.
Access pre-screened profiles with verified experience in SRE, Data Science, and IT Operations.
Validate expertise in Log Analysis, Anomaly Algorithms, and Scripting via technical challenges.
Onboard experts who understand your hybrid cloud environment, preventing ramp-up delays.
Maintain continuity with structured upskilling on the latest observability tools and AI methodologies.
Ideal for long-term infrastructure transformation and NOC automation.
Scale your SRE team with skilled AIOps consultants as an extension of your workforce.
Hire for specific tasks, such as setting up monitoring dashboards, anomaly detection models, or tool migration.
Our team serves global clientele, specializing in Telecom, Finance, and Cloud Services. Our specialists architect resilient solutions using their deep knowledge of the AIOps and SRE ecosystem.
An AIOps engineer combines DevOps skills with Data Science. They build systems that collect operational data, use Machine Learning to detect anomalies, and automate the resolution of IT incidents.
AIOps Implementation requires a strong foundation in IT operations, including knowledge of cloud infrastructure, monitoring tools, and system topology to understand the data environment. Engineers must possess data science and AI proficiency, specifically in machine learning algorithms, statistical analysis, and Python scripting to train models and automate responses.
They configure monitoring tools (Datadog/Splunk), write Python scripts for ML models, automate fixes with Ansible, and perform Root Cause Analysis to reduce Mean Time to Resolve (MTTR).
Traditional monitoring tools generate too much noise. Hiring an AIOps expert moves you from reactive fire-fighting to proactive issue prevention, ensuring 24/7 system stability and reduced operational costs.
US-based AIOps engineers typically command between $130,000 and $210,000 annually, or $100 to $200 per hour for contract work.Offshore AIOps engineers in places like Eastern Europe and India offer a cost-effective alternative, generally ranging from $30 to $90 per hour.