Production Support Engineer

Creospan Inc.; Richardson (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Creospan Inc. seeks a seasoned systems/DevOps professional to design, deploy, and support large-scale distributed applications. You will own microservices architectures, manage Kubernetes clusters, and operate API gateways for traffic control and observability.

You will leverage Splunk, AppDynamics, or Instana to monitor systems and drive RCA for production incidents. The role emphasizes reliability, performance, and adherence to SRE practices, with 5–7 years in operations support and related

Qualifications

• Strong expertise in microservices architecture with production experience.
• Deep hands-on knowledge of Kubernetes including deployment management and cluster operations.
• Experience with API gateway platforms such as Azure API Management, Kong, and IBM API Connect.
• Solid experience with observability tooling (Splunk, AppDynamics, Instana) covering logs, metrics, traces, dashboards and alerts.
• Ability to diagnose and resolve complex production issues and perform root cause analysis (RCA).
• Familiarity with SRE best practices including error budgets, SLIs/SLOs, incident response, and continuous improvement.

Responsibilities

• Design, deploy, and support distributed systems in production environments.
• Manage Kubernetes deployments, scaling, upgrades, troubleshooting, and reliability improvements.
• Work with API gateways for traffic management, routing, and observability.
• Leverage observability tools for log analytics, metrics, traces, and alerting.
• Investigate production incidents and drive RCA and preventative actions.
• Apply SRE principles to improve availability and performance.

Skills

Microservices architecture

Kubernetes

API Gateways

Observability tooling

Production issue resolution

SRE best practices

Tools

Splunk

AppDynamics

Instana

Job description

• Strong expertise in Microservices architecture with practical experience designing, deploying, and supporting distributed systems in production environments.
• Deep hands-on knowledge of Kubernetes (deployment management, scaling, upgrades, troubleshooting, cluster operations) with a focus on reliability, resilience, and performance.
• Working proficiency with API Gateway platforms such as Azure API Management (APIM), Kong, and IBM API Connect (APIC) for traffic management, rate limiting, routing, and API observability.
• Solid experience with observability tooling, including Splunk, AppDynamics, Instana, or similar solutions - covering log analytics, metrics, traces, dashboards, alerting, and SLO-based monitoring.
• Ability to diagnose and resolve complex production issues, perform root cause analysis (RCA), and implement preventative measures.
• Familiarity with SRE best practices, including error budgets, SLIs/SLOs, incident response, post-mortems, automation, and continuous improvement.

Candidates should have 5-7 years of relevant experience, primarily in operations support, with administrative support experience also considered highly desirable.