Keyloop
Keyloop
1 001 – 5 000 Қызметкерлер
SaaSАвтомобиль өнеркәсібіКәсіпорын
Keyloop — дилерлерге, OEM өндірушілеріне және автомобиль топтарына бұлтқа негізделген бағдарламалық жасақтама мен қызметтер ұсынатын B2B автомобиль технологиялары компаниясы. Оның шешімдері сатылым, маркетинг, көлік құралдарының қорын басқару, сервистік қызмет көрсету, қаржы, сондай-ақ онлайн және автосалондағы өзара байланыс үдерістерін қоса алғанда, бөлшек сауда операцияларының негізгі бағыттарын қолдайды. Fusion Automotive Retail Platform платформасы Sales Hub, Acquisition Hub, Vehicle Hub және Service Hub шешімдерін Keyloop DMS және VEGA болжамды талдау жүйесімен бірге біріктіреді. Keyloop компаниясының корпоративтік SaaS өнімдері автомобиль бизнесіне дилерлік жұмыс үдерістерін байланыстыруға, операцияларды оңтайландыруға және біріктірілген құралдар мен серіктестер экожүйесі арқылы бөлшек сауда қызметін басқаруға көмектеседі. Оның командасы автомобиль, SaaS және корпоративтік технологиялар салаларында жұмыс істейді.

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.

Сипаттама

  • 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.

Талаптар

  • 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.

Артықшылықтар

  • 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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