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Eminds.ai - Platform Engineer - DevOps

Eminds.ai - Platform Engineer - DevOps

Enterprise Minds, IncBangalore
12 days ago
Job description

We are looking for a passionate and hands-on DevOps Engineer to join our Platform Engineering team and accelerate our platform modernization journey. This role is ideal for engineers who thrive in automation-heavy environments and want to contribute to the evolution of scalable, secure and intelligent infrastructure platforms. You will work on next-gen cloud-native platforms, implement AI-powered automation and help build self-healing, resilient systems that support our applications at scale.

Key Responsibilities :

  • Manage platform modernization initiatives including containerization, service mesh adoption and migration to microservices and serverless infrastructure.
  • Design and implement robust CI / CD pipelines and self-service DevOps platforms to streamline software delivery across environments.
  • Develop and manage Infrastructure as a Code (IaaC) using tools like Terraform or CloudFormation for scalable and repeatable deployments.
  • Automate infrastructure provisioning, configuration management and operations using tools like Ansible, Chef or Puppet.
  • Leverage AI / ML-driven automation for predictive alerting, anomaly detection, auto-scaling and intelligent incident response. Build intelligent, self-healing systems focused on resilience, cost optimization and performance forecasting in public cloud environments.
  • Drive observability by establishing standards for monitoring, logging and alerting using tools such as Prometheus, Grafana, OpenTelemetry and AIOps platforms.
  • Embed security and compliance into DevOps workflows by adopting DevSecOps practices throughout the software development lifecycle.
  • Evaluate emerging technologies and methodologies to improve system reliability, developer experience and platform scalability.
  • Participate in SRE on-call rotations, production support and post-incident reviews to continuously improve system resilience.
  • Build internal tools and automation solutions to enhance platform observability and operational efficiency.
  • Identify and resolve performance bottlenecks and lead root cause analysis efforts for critical incidents.
  • Collaborate cross-functionally with engineering, architecture and security teams to drive best practices and architectural alignment.
  • Support disaster recovery planning, backup strategy implementation and compliance initiatives (e.g., SOC2, ISO).
  • Mentor junior engineers, promote knowledge sharing and foster a culture of engineering excellence.

Qualifications :

  • 3-6 years of experience in DevOps, SRE or platform engineering roles with a software engineering mindset.
  • Hands-on expertise in Kubernetes, Docker and service mesh architectures (Istio, Linkerd).
  • Expertise in CI / CD tools such as Jenkins, ArgoCD, Spinnaker or similar tools for automating and managing deployment workflows.
  • Experience with observability stacks (Prometheus, Grafana, ELK, Loki or Datadog) for monitoring, logging and alerting.
  • Good understanding of AIOps and ML-driven automation, including anomaly detection, intelligent alerting and predictive incident response
  • Strong problem-solving and debugging skills, particularly in complex, production-grade distributed systems
  • Expertise in Infrastructure as a Code (IaaC) using tools like Terraform or Pulumi and proficiency in configuration management with Ansible, Puppet or similar tools.
  • Familiarity with event-driven architectures using tools like Kafka or cloud-native pub / sub messaging systems.
  • Good understanding of cloud cost optimization and efficiency practices through automation and resource management.
  • Experience integrating security scanning and compliance checks into CI / CD pipelines using tools like Trivy, Snyk or arnica.
  • Why Join Us ?

  • Work on impactful infrastructure and DevOps challenges at scale.
  • Build infrastructure that enables fast, reliable and responsible deployment of AI solutions.
  • Be part of a culture that champions engineering excellence, ownership and continuous learning.
  • Help shape the future of DevOps and AI integration in a fast-moving, innovation-focused environment.
  • Collaborate with architects and DevOps leaders on strategic initiatives.
  • Be part of a team building intelligent, resilient platforms using cutting-edge DevOps and AI technologies.
  • (ref : hirist.tech)

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