Dev Ops Engineers

We have partnered with our client in their search for a Dev Ops Engineer in Tampa, FL

• Designs, implements, and maintains Kubernetes clusters and containerized application deployments across multiple environments, ensuring high availability and scalability
• Builds and enhances observability platforms using tools such as Prometheus, Grafana, Grafana Tempo, Dynatrace, and Splunk to provide comprehensive monitoring, alerting, and telemetry collection
• Collaborates with development teams to containerize applications using Docker, optimize container images, and implement best practices for container security and efficiency
• Implements and manages CI/CD pipelines using tools like Jenkins, Git Lab, ArgoCD, or Flux to enable automated deployment and Git Ops workflows for Kubernetes environments
• Develops infrastructure as code using Terraform, Helm, or similar tools to automate provisioning and configuration of container orchestration platforms
• Defines and monitors Service Level Indicators (SLIs) and Service Level Objectives (SLOs), implementing proactive alerting to prevent customer-impacting incidents
• Troubleshoots complex issues across containerized environments, including networking, storage, resource management, and application performance
• Collaborates with technical experts and stakeholders to design and implement reliability improvements, capacity planning, and disaster recovery strategies
• Supports the adoption and evangelization of SRE best practices, including error budgets, blameless postmortems, and chaos engineering principles
• Writes automation scripts and tools using Python, Go, or Bash to improve operational efficiency and reduce toil

• Strong hands-on Kubernetes experience - highest priority.
• Must have actually built Kubernetes instances/clusters before.
• Linux build experience.
• Kubernetes cluster administration, including:
  • Networking
  • Storage
  • Configuration
• CI/CD pipelines.
• Jenkins.
• Bitbucket.
• Terraform.
• Infrastructure as Code.
• Formal training or certification on SRE concepts with proficient applied experience
• Strong hands-on experience with Kubernetes, including cluster administration, workload management, networking (CNI), storage (CSI), and security policies
• Proficient in Docker containerization, including creating optimized Dockerfiles, managing container registries, and implementing container security best practices
• Deep expertise in observability and monitoring tools such as Prometheus, Grafana, Grafana Tempo, Dynatrace or Splunk, with experience building dashboards, alerts, and SLO-based monitoring
• Experience implementing CI/CD pipelines and Git Ops workflows using tools like Jenkins, Git Lab, ArgoCD, Flux, or Spinnaker
• Strong understanding of cloud platforms (AWS, Azure, or GCP) and their container services (EKS, AKS, GKE)
• Proficiency in infrastructure as code tools such as Terraform, Helm, Kustomize, or Cloud Formation
• Solid understanding of networking concepts including DNS, load balancing, service mesh (Istio, Linkerd), ingress controllers, and network policies
• Experience with scripting and automation using Python, Go, Bash, or similar languages
• Ability to collaborate effectively across teams, present technical concepts clearly, and work independently with minimal supervision
• Demonstrated ability to identify and resolve complex technical challenges proactively
• Preferred Qualifications, Capabilities, and Skills
  • Advanced certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or cloud platform certifications
  • Deep expertise in SRE practices including SLA/SLO management, error budgets, MTTR/MTTD optimization, and chaos engineering
  • Experience with service mesh technologies (Istio, Linkerd, Consul) and advanced Kubernetes patterns
  • Knowledge of distributed tracing tools such as Grafana Tempo, or Open Telemetry
  • Experience with log aggregation and analysis platforms (ELK Stack, Loki, Splunk)
  • Familiarity with security scanning and compliance tools for containers (Aqua, Twistlock)
  • Exposure to AI/ML operations (MLOps) and automation technologies that improve operational efficiency
  • Experience with multi-cluster management, disaster recovery, and high-availability architectures
  • Understanding of Fin Tech or financial services regulatory requirements and operational standards
  • Contributions to open-source projects related to Kubernetes, observability, or SRE tooling

• Degree
• Work Experience

Title Dev Ops Engineer

Location Columbus, OH

Client Industry Fintech

Compensation $55-65/ HR

1689651

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