Define and drive the long-term vision, strategy, and roadmap for our DevOps practices, tools, and infrastructure.
Architect highly scalable, resilient, secure, and cost-effective cloud-native solutions and infrastructure.
Evaluate and recommend new technologies, tools, and best practices to continuously enhance our DevOps capabilities.
Lead the design and implementation of complex, enterprise-level CI / CD pipelines, ensuring rapid, reliable, and secure software deployments.
Lead the development and implementation of comprehensive IaC solutions (e.g., Terraform, CloudFormation, Pulumi) for provisioning and managing infrastructure across multi-cloud environments (e.g., AWS, Azure, GCP).
Drive extensive automation of infrastructure provisioning, configuration management (e.g., Ansible, Chef, Puppet), deployment, and operational tasks.
Develop advanced scripting and automation solutions using languages like Python, Go, Ruby, PowerShell, or Bash.
Design, build, and maintain advanced CI / CD pipelines using tools like Jenkins, GitLab CI / CD, Azure DevOps, ArgoCD, or CircleCI.
Implement robust release strategies, including blue / green deployments, canary releases, and rolling updates, to minimize downtime and risk.
Manage and optimize artifact repositories (e.g., Nexus, Artifactory).
Deep expertise in containerization technologies (Docker) and advanced orchestration platforms (Kubernetes, AKS, EKS, GKE).
Lead the adoption and optimization of Kubernetes clusters, including custom resource definitions (CRDs), operators, and service mesh solutions (e.g., Istio, Linkerd).
Establish and mature comprehensive monitoring, logging, and alerting strategies using tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Datadog, or New Relic.
Ensure compliance with industry standards and regulations (e.g., SOC 2, ISO 27001, GDPR).
Collaborate extensively with development, QA, security, and operations teams to streamline workflows and foster a unified culture.
Mentor and coach junior and mid-level DevOps engineers, promoting knowledge sharing and continuous learning.
Act as a subject matter expert and provide technical guidance on complex architectural and operational challenges.
Continuously analyze and optimize infrastructure and application performance, identifying bottlenecks and implementing solutions.
Drive cost optimization initiatives across cloud resources without compromising performance or reliability.
Expertise in Git and advanced Git workflows (GitFlow, Trunk-Based Development).
Implement and enforce code quality standards and review :
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
10+ years of progressive experience in DevOps, Site Reliability Engineering, or a closely related role, with a proven track record of leading complex initiatives.
Demonstrable expertise in at least one major cloud platform (AWS, Azure, or GCP); multi-cloud experience highly preferred.
Proficiency in scripting languages (e.g., Python, Go, Ruby, Bash, PowerShell).
Extensive experience with IaC tools (e.g., Terraform, CloudFormation).
In-depth knowledge of CI / CD tools (e.g., Jenkins, GitLab CI / CD, Azure DevOps).
Deep practical experience with Docker and Kubernetes for container orchestration.
Experience with configuration management tools (e.g., Ansible, Chef, Puppet).
Proven experience with monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK Stack).
Solid understanding of database systems (SQL and NoSQL) and their operational considerations.
Strong analytical, problem-solving, and debugging skills, with the ability to diagnose and resolve complex distributed system issues.
Excellent communication, interpersonal, and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.
Experience with Agile / Scrum (Bonus) Skills :
Relevant cloud certifications (e.g., AWS Certified DevOps Engineer - Professional, Azure DevOps Engineer Expert, Google Cloud Professional DevOps Engineer).
Experience with serverless computing (e.g., AWS Lambda, Azure Functions, Google Cloud Functions).
Familiarity with event streaming platforms (e.g., Kafka, RabbitMQ).
Knowledge of compliance frameworks (e.g., HIPAA, PCI DSS, GDPR).
Experience with chaos engineering principles and tools.
Contributions to open-source projects.
ref : hirist.tech)
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Engineer • Noida
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