Automation Engineer

KellyMitchell Group; Irving (TX); On-site; USD 52,348 - 75,768; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Employee-Owned Profit Sharing

401(k) offered

Job summary

KellyMitchell Group is seeking an Automation Engineer to join their team in Irving, Texas. This role centers on performance, load, stress, and scalability testing of applications and infrastructure.

The ideal candidate will have at least 5 years of experience in performance engineering and be proficient in Java and Spring Boot. Additional skills in Docker, Python, and an understanding of cloud technologies are required. Benefits include medical, dental, vision insurance, and profit-sharing.

Qualifications

• 5+ years of experience in performance engineering or automation engineering.
• 3+ years of programming experience in Java with proficiency in Spring Boot.
• Hands-on experience with containerization technologies like Docker.
• Strong scripting skills in Python and/or Bash.
• Experience with observability and APM tools.

Responsibilities

• Design and execute performance, load, stress, and scalability tests.
• Analyze test results and produce data-driven performance reports.
• Collaborate with DevOps to optimize application code and configurations.
• Support performance readiness for production releases.

Skills

Performance engineering

Automation engineering

Java

Spring Boot

Docker

Python

Bash

Microservices architecture

Cloud platforms

APM tools

Job description

Job Summary

Our client is seeking an Automation Engineer to join their team in Irving, Texas. The role focuses on performance, load, stress, and scalability testing of applications, databases, and infrastructure.

Responsibilities

• Design, develop, and execute performance, load, stress, and scalability tests.
• Identify and recommend optimizations for performance bottlenecks across application, database, and infrastructure layers.
• Analyze test results and produce data‑driven performance reports for technical and non‑technical stakeholders.
• Design and execute resiliency and chaos test scenarios to validate system behavior under failure conditions.
• Configure and maintain monitoring and observability tools to enable continuous system health tracking.
• Analyze real‑time metrics, logs, and traces to proactively detect, diagnose, and resolve performance and stability issues.
• Partner with engineering teams to define performance SLIs/SLOs and alerting thresholds.
• Conduct capacity planning and recommend horizontal and vertical scaling strategies.
• Support performance readiness for production releases and high‑traffic events.
• Collaborate with DevOps and infrastructure teams to optimize application code, database queries, APIs, and system configurations.
• Recommend and enforce best practices for performance tuning across microservices architectures.
• Define and configure Kubernetes performance parameters, including resource requests/limits, autoscaling policies, and pod distribution strategies.
• Document performance testing frameworks, tools, methodologies, and best practices.
• Provide guidance, training, and support to development and operations teams on performance and resiliency engineering.
• Evaluate and enhance performance testing, monitoring, and resiliency processes, staying current with emerging tools and best practices.

Qualifications

• 5+ years of experience in performance engineering, automation engineering, or site reliability engineering.
• 3+ years of programming experience in Java, with proficiency in Spring Boot.
• Hands‑on experience with containerization technologies such as Docker.
• Strong scripting skills in Python and/or Bash.
• Experience with observability and APM tools.
• Deep understanding of microservices architecture, distributed systems, and resiliency patterns.
• Proven support and optimization of microservices‑based applications in production environments.
• Solid understanding of algorithms, data structures, and software design patterns.
• Hands‑on experience with cloud platforms such as AWS, Azure, or GCP.
• Strong analytical, troubleshooting, and problem‑solving skills.

Benefits

• Medical, Dental, and Vision insurance plans.
• Employee‑Owned Profit Sharing (ESOP).
• 401(k) offered.

Pay Range: $38.00–$55.00 per hour (approximate). Final compensation may vary based on factors including background, knowledge, skills, and location. We comply with local wage minimums.