Gurugram, Haryana, India
Live, first seen by us 89 days agoExpatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded
Design and maintain AWS infrastructure, Kubernetes platforms, and Terraform modules
Build and optimize CI/CD pipelines, infrastructure as code, and deployment automation
Operate Databricks, AI/ML, and generative AI workloads, including MLOps and LLMOps
Run monitoring, AIOps, incident triage, and root-cause analysis
Write Python, Bash, and API-based automation to cut manual operational work
Design, deploy, and maintain secure, scalable AWS cloud infrastructure, Kubernetes platforms, Terraform modules
Implement, manage, and optimize CI/CD pipelines, Infrastructure as Code, deployment automation
Operate Databricks, AI/ML, and generative AI workloads through platform administration
Implement monitoring, observability, AIOps, anomaly detection, event correlation, alerting, incident triage
Build automation using Python, Bash, APIs, and event-driven services to reduce manual effort
Bachelor’s degree required.
Master’s in Computer Science, Engineering, Artificial Intelligence, Data Science, or related STEM field.
5+ years of IT experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or similar roles with AWS, CI/CD, IaC, scripting, containers, databases, and operational support.
Experience in airline/transportation DevOps, AIOps, generative AI engineering workflows, AI agents, MLOps/LLMOps, Databricks, observability, Harness, microservices, serverless, and DevSecOps environments.
What’s needed to succeed (Minimum Qualifications): - Bachelor’s degree required. - Computer Science, Engineering, Information Technology, or related field.
What will help you propel from the pack (Preferred Qualifications): - Master’s in Computer Science, Engineering, Artificial Intelligence, Data Science, or related STEM field. - Experience in airline/transportation DevOps, AIOps, generative AI engineering workflows, AI agents, MLOps/LLMOps, Databricks, observability, Harness, microservices, serverless, and DevSecOps environments.
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Day 89
Up longer than most. Similar jobs usually come down between day 5 and day 41.
Well past United Airlines’s usual: its jobs come down by about day 10.
From 12,187 similar postings that came down, and 221 of United Airlines’s. Coming down is not always a hire.
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Implement monitoring, observability, AIOps, anomaly detection, event correlation, alerting, incident triage, log analysis, root-cause analysis, and remediation recommendations. - Build automation using Python, Bash, APIs, and event-driven services to reduce manual effort, improve operational efficiency, and strengthen platform reliability. - Apply cloud security, DevSecOps, responsible AI, governance controls, human approvals, auditability, and documentation practices across AI-enabled operational workflows.
- 5+ years of IT experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or similar roles with AWS, CI/CD, IaC, scripting, containers, databases, and operational support. - Must have AWS infrastructure, Terraform, Kubernetes, CI/CD, Python/Bash, monitoring, cloud security, database, troubleshooting, communication, AI-assisted engineering, generative AI fundamentals, and responsible AI evaluation skills. - Must be hands-on with Generative AI (GenAI) and Agentic AI, with demonstrated daily use of AI-powered tools to enhance productivity, automate workflows, and solve business problems.
This role exists to design, automate, and operate secure, scalable cloud and DevOps platforms that support United’s Data Engineering Operations capabilities. The position is responsible for enabling reliable application delivery through CI/CD, infrastructure as code, cloud platform management, observability, and operational automation. It also advances AI-enabled DevOps practices by applying AIOps, generative AI, intelligent automation, and responsible guardrails to improve engineering productivity, system reliability, incident response, and operational efficiency. - Design, deploy, and maintain secure, scalable AWS cloud infrastructure, Kubernetes platforms, Terraform modules, and core networking/services to support reliable data engineering operations. - Implement, manage, and optimize CI/CD pipelines, Infrastructure as Code, deployment automation, security validation, automated testing, and release reliability practices.
- Computer Science, Engineering, Information Technology, or related field. - 5+ years of IT experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or similar roles with AWS, CI/CD, IaC, scripting, containers, databases, and operational support. - Must have AWS infrastructure, Terraform, Kubernetes, CI/CD, Python/Bash, monitoring, cloud security, database, troubleshooting, communication, AI-assisted engineering, generative AI fundamentals, and responsible AI evaluation skills.
- Experience in airline/transportation DevOps, AIOps, generative AI engineering workflows, AI agents, MLOps/LLMOps, Databricks, observability, Harness, microservices, serverless, and DevSecOps environments. - AWS, Databricks, Kubernetes, Terraform, DevOps, AI/ML, or cloud security certifications preferred. - Preferred knowledge includes AIOps, prompt engineering, LLM APIs, retrieval-augmented generation, AI observability, model monitoring, deployment-risk assessment, cost optimization, human-in-the-loop controls, and AI governance.
- Implement, manage, and optimize CI/CD pipelines, Infrastructure as Code, deployment automation, security validation, automated testing, and release reliability practices. - Operate Databricks, AI/ML, and generative AI workloads through platform administration, environment provisioning, deployment automation, monitoring, rollback, MLOps, and LLMOps practices. - Implement monitoring, observability, AIOps, anomaly detection, event correlation, alerting, incident triage, log analysis, root-cause analysis, and remediation recommendations.
- Master’s in Computer Science, Engineering, Artificial Intelligence, Data Science, or related STEM field. - Experience in airline/transportation DevOps, AIOps, generative AI engineering workflows, AI agents, MLOps/LLMOps, Databricks, observability, Harness, microservices, serverless, and DevSecOps environments. - AWS, Databricks, Kubernetes, Terraform, DevOps, AI/ML, or cloud security certifications preferred.
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New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
This role exists to design, automate, and operate secure, scalable cloud and DevOps platforms that support United’s Data Engineering Operations capabilities. The position is responsible for enabling reliable application delivery through CI/CD, infrastructure as code, cloud platform management, observability, and operational automation. It also advances AI-enabled DevOps practices by applying AIOps, generative AI, intelligent automation, and responsible guardrails to improve engineering productivity, system reliability, incident response, and operational efficiency.
Design, deploy, and maintain secure, scalable AWS cloud infrastructure, Kubernetes platforms, Terraform modules, and core networking/services to support reliable data engineering operations.
Implement monitoring, observability, AIOps, anomaly detection, event correlation, alerting, incident triage, log analysis, root-cause analysis, and remediation recommendations.
Apply cloud security, DevSecOps, responsible AI, governance controls, human approvals, auditability, and documentation practices across AI-enabled operational workflows.
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.
What’s needed to succeed (Minimum Qualifications):
Successful completion of interview required to meet job qualification
What will help you propel from the pack (Preferred Qualifications):
Preferred knowledge includes AIOps, prompt engineering, LLM APIs, retrieval-augmented generation, AI observability, model monitoring, deployment-risk assessment, cost optimization, human-in-the-loop controls, and AI governance.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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Gurugram, Haryana, India
Working pattern and location restrictions need checking in the full posting.
- Apply cloud security, DevSecOps, responsible AI, governance controls, human approvals, auditability, and documentation practices across AI-enabled operational workflows. This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications
- Must be hands-on with Generative AI (GenAI) and Agentic AI, with demonstrated daily use of AI-powered tools to enhance productivity, automate workflows, and solve business problems. - Must be legally authorized to work in India for any employer without sponsorship - Must be fluent in English (written and spoken)