DevOps Consultant

Role Overview: As a liaison between Development teams and Platform (PAAS) teams, you will be responsible for translating requirements into technical tasks or support requests. You will use coding languages or scripting methodologies to solve problems with custom workflows. Your role involves documenting problems, articulating solutions or workarounds, and being a key contributor on projects to brainstorm the best way to tackle complex technological infrastructure, security, or development problems. Key Responsibilities: - Translate requirements into technical tasks or support requests - Use coding languages or scripting methodologies to solve problems with custom workflows - Document problems and articulate solutions or workarounds - Contribute to projects to brainstorm the best way to tackle complex technological infrastructure, security, or development problems - Learn methodologies for performing incremental testing actions on code using a test-driven approach (TDD) - Demonstrate strong oral and written communication skills with a keen sense of customer service, problem-solving, and troubleshooting - Be process-oriented with excellent documentation skills - Apply knowledge of best practices in a micro-service architecture in an always-up, always-available service - Utilize experience with Agile Software Development methodologies and security best practices in a containerized or cloud-based architecture - Familiarity with event-driven architecture and related concepts Qualifications Required: - Familiarity with container orchestration services, preferably Kubernetes - Competency with container runtimes like docker, cri-o, mesos, rkt (Core OS) - Working knowledge of Kubernetes templating tools such as Helm or Kustomize - Proficiency in infrastructure scripting/templating solutions such as BASH, GO, Python - Experience with infrastructure code tools such as Terraform, CloudFormation, Chef, Puppet, SaltStack, Ansible, or equivalent - Competency in administering and deploying development lifecycle tooling such as Git, Jira, GitLab, CircleCI, or Jenkins - Knowledge of logging and monitoring tools such as Splunk, Logz.io, Prometheus, Grafana, or full suites of tools like Datadog or New Relic - Significant experience with multiple Linux operating systems in both a virtual or containerized platform - Experience with Infrastructure as Code principles utilizing GitOps and secrets management tools such as Vault, AWS Secrets Manager, Azure Key Vault, or equivalent,