Hr Sr cloud devops engineer Jobs – 148 Open Jobs Today

Sr Cloud DevOps Engineer
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- Full-time
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Unique Occupational Services Pvt. Ltd. (UOSPL) —Gurugram, Haryana
- ₹30,00,000 - ₹40,00,000 a year
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- Software development
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5d
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WNS Global Services —Gurugram, Haryana
- Full-time
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5d

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Sr Cloud DevOps Engineer

United Airlines -
Gurugram, Haryana

Apply Now

Job details

Full-time
8 days ago

Benefits

Health insurance

Qualifications

BCS
CI/CD
Cloud infrastructure
Go
Node.js
Computer Science
Incident management
Software troubleshooting
Kubernetes
DevOps
Encryption
Data analysis skills
Git
.NET
Information security
Java
Master's degree
Bash (Unix shell)
AWS
Docker
Cloud security
Bachelor's degree
JavaScript
Distributed systems
Terraform
Continuous integration
Mentoring
GitHub
APIs
AI
AWS Certified Security – Specialty
Python
PowerShell
AWS Certified DevOps Engineer – Professional
High availability
AWS Certified Solutions Architect – Professional
Identity & access management

Full job description

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

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

The Sr. Cloud DevOps Engineer will be responsible for designing, automating, and managing secure, scalable, and resilient cloud infrastructure. This role focuses on embedding security into every layer of platform engineering, ensuring workloads are compliant, hardened, and aligned with enterprise security guardrails. The engineer will work closely with development, DevOps, and security teams to deliver security-by-design cloud environments through automation, Infrastructure as Code (IaC), and proactive monitoring.

Implement and manage cloud security guardrails using Service Control Policies (SCPs), AWS Config rules, Control Tower, and Systems Manager.
Create and maintain enterprise-grade Infrastructure as Code frameworks for secure, standardized architectures (Terraform, CloudFormation, AWS CDK).
Design and develop automation utilities (Python, Boto3, Bash, JavaScript/Node.js) to enforce compliance and integrate with CI/CD pipelines.
Build and manage integrations across security and platform tools (e.g., AWS, Kong, Dynatrace, Artifactory, Harness).
Partner with Security, DevOps, and Application teams to troubleshoot guardrail-related issues, review solutions, and align roadmaps. Utilize AI tools (e.g., Microsoft Copilot, ChatGPT, Gemini, Claude, Perplexity) to enhance daily work efficiency
Automate patch management policies and workflows for cloud workloads using AWS Systems Manager.
Contribute to security awareness and knowledge-sharing initiatives (documentation, training, workshops).

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

What’s needed to succeed (Minimum Qualifications):

Bachelor's degree
Computer Science or a related field
8+ years in Cloud Engineering / DevOps roles with at least 3+ years focused on cloud security automation.
Experience writing and maintaining CI/CD pipeline templates and infrastructure code.
AWS Certified Solutions Architect
Cloud Security: Strong understanding of IAM, encryption, KMS, network security (VPC, NACLs, Security Groups), and logging/monitoring.
AWS Security Controls: Hands-on with Service Control Policies (SCPs), AWS Config rules, Control Tower guardrails, AWS Organizations.
IaC: Advanced with Terraform, CloudFormation, and AWS CDK for secure deployments.
Automation & Scripting: Python, Go, Bash/PowerShell, JavaScript for Lambda-based security automation.
Patch Management: Experience with AWS Systems Manager (SSM) automation documents and compliance dashboards.
Tooling Ecosystem: Hands-on with CI/CD pipelines (GitHub Actions, Harness), artifact management (Artifactory), and monitoring (Dynatrace, CloudWatch).
Containers & Workloads: Knowledge of securing Docker, Kubernetes (EKS), and serverless (Lambda) environments.
Incident Response: Experience in troubleshooting, root-cause analysis, and post-mortem processes in cloud environments.
API Security & Service Mesh: Understanding of Kong, Apigee, Istio/Consul for API management and security patterns.
Soft Skills: Excellent collaboration, documentation, and ability to mentor peers in secure cloud practices.)
Familiarity with Generative AI concepts and prompt writing.
Exposure to AI platforms such as Microsoft Copilot, ChatGPT, Gemini, Claude, Perplexity, and NotebookLM.

What will help you propel from the pack (Preferred Qualifications):

Master's degree
Cloud Security, Information Security, or related discipline
AWS Certified Security – Specialty
AWS DevOps Engineer Professional
HashiCorp Terraform Associate
Experience designing and/or managing multi-region/distributed systems for high availability.
Proven experience mentoring and guiding junior engineers.
Comfortable driving technical discussions and aligning cross-functional teams to meet platform goals.
Proven ability to set up and manage robust monitoring, logging, and alerting pipelines (e.g., ELK Stack, Datadog, Prometheus/Grafana).
Hands-on experience with incident management, troubleshooting, and post-mortem processes for production environments.
Stay current with emerging technologies, recommending, and implementing improvements where applicable.
Prior experience in templated pipeline development and optimization for technology stacks on .Net, java.Serveless is preferred.
Experience with data analysis or visualization (e.g., Quick sight, Power) is a plus.
Experienced in API management strategies such and service mesh patterns such as Kong/Apigee,Istio/Consul
Passion for continuous learning and staying current with industry trends.
Hands-on experience using AI tools in projects, internships, or work environments.
Knowledge of automation platforms such as Power Automate, Copilot Studio, Zapier, or n8n.

Apply Now

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