Devops engineer Jobs in Atlanta, GA

SRE DevOps Engineer

Location: Overland Park, KS / Atlanta, GA / Frisco, TX (Onsite) Requirements Qualifications

• 4–9 years in SRE/DevOps/Systems Engineering as Senior or Principal Engineer
• Strong hands-on experience with Kubernetes, container orchestration, and API management.
• Working knowledge of WAFs,networking security, and database technologies (SQL/NoSQL).
• Proficient in automation and scripting (Python, Go,Ansible, Terraform,etc..)
• Strong observability/monitoring experience.
• Experience with CI/CD pipelines, GitOps, and infrastructure as code.
• Solid problem-solving and collaboration skills.

Job responsibilities

• Resolve escalated incidents across Kubernetes,API Proxy, WAF,DBs, and infra platforms.
• Design and improve runbooks, automating manual steps wherever possible.
• Lead and contribute to building self-healing systems and self-service tooling for users.
• Analyze incident trends, propose improvements in monitoring, capacity, and reliability.
• Collaborate with engineering teams on deployment, upgrades, and performance optimization.
• Conduct postmortems, document RCA, and ensure learning is captured.
• Mentor and coach L1 engineers.

Skills Mandatory Skills (Must-Have) 1.Advanced Incident Troubleshooting & Resolution Expectation: Diagnose and resolve escalated incidents that L1 cannot handle, often across multiplelayers (infrastructure, application,network). Example: For an API outage,identify if the root cause is in Kubernetes pod networking,APIgateway misconfig,or backend DB latency — and apply fixes. 2. Kubernetes & Container Orchestration Expertise Expectation: Comfortable with deployments, scaling,networking, and debugging cluster-level issues. Example: Troubleshoot why pods are pending by checking node capacity, taints/tolerations, and cluster autoscaler logs. 3.Automation & Scripting (Python, Go, Bash,Ansible, Terraform) Expectation: Write scripts and automation to reduce manual toil,enhance monitoring, and improveincident resolution speed. Example: Develop a Python script to automatically collect pod and system logs when a service crashes. 4. Observability & Monitoring Tooling Expectation: Deep understanding of monitoring, alerting, tracing, and logging systems. Example: Build Prometheus alert rules to detect DB query spikes; configure Grafana dashboards for API latency. 5. CI/CD & Infrastructure as Code (IaC) Expectation: Familiarity with GitOps workflows, CI/CD pipelines, and infrastructure provisioning. Example: Enhance Jenkins pipeline to add automated smoke tests before promoting Kubernetes deployments. 6. Database Troubleshooting (SQL & NoSQL) Expectation: Identify performance bottlenecks, connection issues, and basic tuning opportunities. Example: Run queries to detect slow-running SQL statements causing latency in an application. 7. Incident Management & RCA Expectation: Act as incident commander for escalated issues, lead bridge calls, and produce Root Cause Analyses. Example: After a WAF misconfiguration causes downtime,lead the investigation, document the timeline, and propose preventive actions. 8. Mentorship & Runbook Improvement Expectation: Coach L1 engineers, refine runbooks, and introduce new automated workflows. Example: Update a runbook to add automated Kubernetes log collection instead of manual steps. Preferred Skills (Nice-to-Have) 1. Cloud Platform Engineering (AWS,Azure, GCP) Expectation: Hands-on skills in provisioning, scaling, and securing cloud workloads. Example: Diagnose why an AWS ALB is misrouting traffic after a deployment. 2. Security & WAF Management Expectation: Understand WAF rules, common attacks (SQL injection, XSS), and how to apply fixes. Example: Investigate false positives in WAF logs and adjust rule sets with security teams. 3. Capacity & Performance Engineering Expectation: Anticipate scaling needs, tune resource utilization, and propose optimizations. Example: Identify that a Kubernetes deployment is CPU-throttled and adjust HPA (Horizontal Pod Autoscaler) configs. 4.Automation Platform Integration (AIOps, ChatOps) Expectation: Integrate AI/ML-powered tools for anomaly detection and auto-remediation. Example: Implement a ChatOps bot that runs predefined Kubernetes troubleshooting commands in Slack. 5. Cross-Platform Expertise (Hybrid Infra) Expectation: Experience supporting both on-prem and cloud environments seamlessly. Example: Compare latency patterns between on-prem DBs and cloud-hosted APIs to identify bottlenecks. Qualifications: · 7+ years in SRE/DevOps/Systems Engineering as Senior or Principal Engineer · Strong hands-on experience with Kubernetes, container orchestration, and API management. · Working knowledge of WAFs, networking security, and database technologies (SQL/NoSQL). · Proficient in automation and scripting (Python, Go, Ansible, Terraform, etc.) · Strong observability/monitoring experience. · Experience with CI/CD pipelines, GitOps, and infrastructure as code. · Solid problem-solving and collaboration skills.