Senior DevOps Engineer

V
VeriforceSaaS risk management
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
7+ years of relevant experience in Dev Ops in a SaaS environment
Required Skills
AWSJenkinsKafkaKubernetesDevOpsTerraformAnsibleGitHub ActionsDistributed Systems

Requirements

  • Have 7+ years of relevant DevOps experience in a SaaS environment.
  • Bring expertise in distributed systems, including container orchestration, distributed messaging, and distributed databases, with emphasis on Kubernetes and Kafka.
  • Have expertise with cloud platforms, primarily AWS.
  • Have expertise with infrastructure-as-code languages, focusing on Terraform and Ansible.
  • Have expertise in automated deployment methodologies, especially Jenkins and GitHub Actions.
  • Have prior professional application development experience, particularly with SaaS applications and web development.
  • Know software engineering and design principles, including design patterns, architectural patterns, the CAP Theorem, and event-driven architecture.
  • Be security-minded at all levels.
  • Experience with NGINX, networking, and security is nice to have.
  • Experience with NoSQL or Big Data technologies is nice to have.
  • Knowledge of Microsoft SQL Server and PostgreSQL is nice to have.
  • Experience with C# and .NET Core is nice to have.

Responsibilities

  • Manage and mentor a team of DevOps engineers; run standups, backlog refinement, and retrospectives.
  • Provide technical thought leadership in collaboration with Architecture, SecOps, Data Engineering, and Development.
  • Partner with developers and product teams to capture tooling, automation, and infrastructure requirements and translate them into actionable stories and designs.
  • Design and maintain continuous delivery systems and advise development teams on code and implementation.
  • Design, implement, and maintain infrastructure as code for development and production environments, focusing on Kubernetes and Kafka.
  • Design, implement, and maintain observability and monitoring solutions.
  • Monitor system health and take action to maintain uptime and performance SLAs.
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