Keyloop
Keyloop
1,001 – 5,000 कर्मचारी
SaaSउद्यमऑटोमोटिव
Keyloop एक B2B ऑटोमोटिव तकनीक कंपनी है, जो डीलरशिप, मूल उपकरण निर्माताओं (OEM) और ऑटोमोटिव समूहों के लिए क्लाउड-आधारित सॉफ़्टवेयर और सेवाएँ प्रदान करती है। इसके समाधान बिक्री, मार्केटिंग, वाहन इन्वेंटरी, सर्विस, वित्तीय सेवाओं तथा ऑनलाइन और शोरूम से जुड़ी ग्राहक यात्राओं सहित खुदरा परिचालन के प्रमुख क्षेत्रों को समर्थन देते हैं। Fusion Automotive Retail Platform में Sales Hub, Acquisition Hub, Vehicle Hub और Service Hub को Keyloop DMS तथा VEGA पूर्वानुमानित इंटेलिजेंस के साथ एकीकृत किया गया है। Keyloop के एंटरप्राइज़ SaaS उत्पाद ऑटोमोटिव व्यवसायों को डीलर कार्यप्रवाह जोड़ने, परिचालन को सुव्यवस्थित करने और एकीकृत टूल्स तथा साझेदारों के पारिस्थितिकी तंत्र के माध्यम से खुदरा गतिविधियों का प्रबंधन करने में सहायता करते हैं। इसकी टीम ऑटोमोटिव, SaaS और एंटरप्राइज़ तकनीक क्षेत्रों में काम करती है।

Senior DevOps Engineer – AWS & AIOps | Keyloop (Hybrid, India)

Secure and scale Keyloop’s AWS and on-premises platforms through DevSecOps, CI/CD, blue-green deployments, and AIOps. Build AI-assisted deployment automation, observability, and incident-response capabilities for automotive technology systems.

विवरण

  • Support multiple on-premises and AWS platforms in production.
  • Build and improve monitoring, alerting, and debugging capabilities.
  • Create CloudWatch and New Relic dashboards, alerts, and health and performance reports.
  • Automate AWS cloud-platform builds and deployments.
  • Troubleshoot technical issues across AWS environments.
  • Maintain and improve CI/CD pipelines across all environments.
  • Develop AI agents that detect deployment failures, recommend remediation, and support controlled rollbacks.
  • Design and operate blue-green deployments for zero-downtime releases, traffic switching, validation, and rollback.
  • Develop AIOps capabilities for anomaly detection, event correlation, alert-noise reduction, predictive insights, and automated incident response.
  • Partner with Engineering teams to identify platform requirements and resolve issues.
  • Build and maintain highly scalable deployments across global environments.
  • Communicate effectively with relevant stakeholders.
  • Engineer, improve, and transform Keyloop’s AWS footprint.
  • Provide operational support to multiple engineering teams.
  • Develop cloud-engineering standards, patterns, tools, and products.

आवश्यकताएँ

  • Five to eight years of relevant professional experience.
  • Bachelor’s degree or equivalent experience in Engineering, Computer Science, Mathematics, or a related discipline.
  • Ability to understand customer issues, troubleshoot effectively, and document solutions.
  • Experience with AWS infrastructure, including EC2, ECS, EKS, RDS, Lambda, DynamoDB, and Elastic Beanstalk.
  • CI/CD experience using GitHub Actions and Jenkins or Bamboo.
  • Hands-on experience designing and implementing blue-green deployments in AWS and containerized environments.
  • Practical experience building or integrating AI agents into CI/CD workflows.
  • Experience developing AIOps solutions for monitoring and observability.
  • Understanding of web security and DevSecOps practices.
  • Knowledge of microservice technologies, including serverless architectures and containers.
  • Extensive experience with IT security technologies such as firewalls, email security, web filtering, MFA, IAM, PAM, and web application security.
  • Understanding of SAST and DAST audits.
  • Strong experience with network architecture, firewalls, VPNs, PKI, encryption, cloud platforms, and security controls.
  • Working knowledge of TLS, encryption at rest and in transit, and key management.
  • Experience with Atlassian tools, including Jira, Confluence, and Bitbucket.
  • Ability to collaborate across global teams, cultures, and time zones.
  • A bachelor’s degree is not required when equivalent experience is demonstrated.
  • No academic qualifications are required; selection is based on experience and potential.

लाभ

  • Training and support for experimentation, adapting to rapid change, and exploring different career paths.
  • Career development opportunities with investment in employee growth.
  • Inclusive workplace and culture.
  • Performance-based pay and benefits.
  • Equal opportunity employment.
  • Training in AI tools to support creativity and productivity.

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