Big Data Architect

5 days ago

Madurai, Tamil Nadu, India LA VISEE TECHNOLOGIES LLC Full time US$ 80,000 - US$ 85,000 per year

Big Data Architect
- 1Nos

Seeking a highly skilled DevSecOps Engineer with expertise in technical, operational, and security risk analysis and security automation in a Kubernetes environment.

Job Description

Docker / Kubernetes

  • Expertise in securing large scale Kubernetes (K8s) environment production environment supporting DevSecOps teams and a solid understanding of how docker / Kubernetes works including concepts such as Cgroup, namespaces, advisor, heapster and container-SELinux, core DNS, etc.
  • Expertise in K8s pod security policy including experience in writing, maintaining, and deploying pod security policy in multi-tenant Kubernetes (K8s) environment.
  • Expertise in container network including expertise in the implementation of services mesh, network policies to support micro-segmentation/mutual TLS in Kubernetes (K8s) environment using tools such as istio, calico, and AWS app mesh, etc.
  • Expertise in the end to end container image lifecycle including build, hardening, signing, vulnerability scanning, container image repository management using tools such as Anchore, Twistlock, Aqua, Notary, Grafeasetc.
  • Expertise in collecting and analyzing logs in Kubernetes (K8s) for a variety of different reasons including ascribing a change to a particular user, detect anomalous behaviors, and root cause analysis.
  • Expertise with Kubernetes automated security testing approaches and such as KubeTest, KubeHunter, kubeaudit, kaudit etc and container runtime security tools such as twistlock, aqua, stackrox etc.

DevSecOps

  • Expertise in securing and managing production workload in amazon cloud including services such as EKS, ECS, ECR, IAM, Secret manager, KMS, etc.
  • Expertise in writing IaC codes using terraform, ansible, packer, etc. and demonstrate good software development practices such as branching strategy and test-driven development. Experience in testing infrastructure code leveraging testing tools such as test kitchen etc.
  • Expertise in working with CI/CD tools and pipeline such as Jenkins, Github, circleCI, Gitflow, artifact repository.
  • Expertise in working with scripting languages such as python, golang, javascript, etc.
  • Expertise in integrating security checks and security tools such as vulnerability scanner, static/dynamic code scanning in the application deployment pipeline.
  • Expertise in securing and hardening Docker and Kubernetes. Understanding of security benchmarks such as cis benchmarks.
  • Expertise in change reviews, code review, production release review from a security perspective.
  • DevOps practices and collaboration tools such as Trello, Jira, sprint planning, task ownership, comfortable in customer-facing roles. Familiar with agile release train concept and methodology.

Experience
: 5+ Years

Salary
: 80$ - 85$

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