SRE DevOps Engineer Location: Overland Park, KS / Atlanta, GA / Frisco, TX (Onsite)
Requirements
- 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, Git
- Ops, 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) Advanced Incident Troubleshooting & Resolution
- Expectation: Diagnose and resolve escalated incidents that L1 cannot handle, often across multiple layers (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.
- 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.
- Automation & Scripting (Python, Go, Bash, Ansible, Terraform)
- Expectation: Write scripts and automation to reduce manual toil, enhance monitoring, and improve incident resolution speed.
- Example: Develop a Python script to automatically collect pod and system logs when a service crashes.
- 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.CI/CD & Infrastructure as Code (IaC)
- Expectation: Familiarity with Git
- Ops workflows, CI/CD pipelines, and infrastructure provisioning.
- Example: Enhance Jenkins pipeline to add automated smoke tests before promoting Kubernetes deployments.
- 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.
- Incident Management & RCAExpectation: 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.
- 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) 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.
- 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.
- 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.
- Automation Platform Integration (AIOps, Chat
- Ops)
- Expectation: Integrate AI/ML‑powered tools for anomaly detection and auto‑remediation.
- Example: Implement a Chat
- Ops bot that runs predefined Kubernetes troubleshooting commands in Slack.
- 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.#J-18808-Ljbffr
Skills
- (XSS) Cross Site Scripting, Amazon Web Services (AWS), Ansible, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Bash Scripting, CPU (Central Processing Unit), Cloud Computing, Coaching, Continuous Deployment/Delivery, Continuous Integration, Corrective Action, Customer Support/Service, Database Technology, DevOps, Documentation, GCP (Good Clinical Practices), Go Programming Language (Golang), Identify Issues, Incident Management, Injections, Jenkins, Machine Tool, Mentoring, Microsoft Windows Azure, Multiplatform/Cross-Platform, Network Debugging, Network Security, NoSQL, Performance Tuning/Optimization, Problem Solving Skills, Python Programming/Scripting Language, Reporting Dashboards, Resource Utilization, Root Cause Analysis, SQL (Structured Query Language), Scripting (Scripting Languages), Slack, Smoke Testing, Software Engineering, Systems Administration/Management, Systems Engineering, Team Player, Test Automation, Testing, Trend Analysis
About the Company
Highbrow
