Automation Engineer

KellyMitchell Group; Irving (TX); On-site; USD 52,000 - 76,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Employee-Owned ESOP

401(k) plan

Job summary

KellyMitchell Group is seeking an Automation Engineer to join our team in Irving, Texas. The role focuses on designing and executing performance, load, and resilience tests to ensure system scalability and reliability.

You'll analyze results, collaborate with DevOps and engineering to optimize code, databases, and infrastructure, and help define SLI/SLOs for production readiness in a cloud-native, microservices environment.

Qualifications

• 5+ years of performance engineering, automation engineering, or SRE experience.
• 3+ years of Java development with Spring Boot.
• Hands-on Docker/containerization experience.
• Strong scripting skills in Python and/or Bash.
• Experience with observability and APM tools (Splunk, ELK, AppDynamics, Datadog, New Relic).
• Experience with cloud platforms (AWS/Azure/GCP) and microservices.

Responsibilities

• Design, develop, and execute performance, load, stress, and scalability tests.
• Identify bottlenecks across application, database, and infrastructure layers and provide optimization recommendations.
• Analyze test results and produce data-driven performance reports for stakeholders.
• Collaborate with DevOps and engineering teams to optimize code, queries, APIs, and configs.
• Define performance SLIs/SLOs and alerting thresholds; support production readiness.

Skills

Performance engineering

Java / Spring Boot

Python or Bash scripting

Observability / APM tools

Microservices architecture

Cloud platforms (AWS/Azure/GCP)

Problem solving

Tools

Docker

Job description

Job Summary

Our client is seeking an Automation Engineer to join their team! This position is located in Irving, Texas. Duties: Design, develop, and execute performance, load, stress, and scalability tests to assess system responsiveness, stability, and resource utilization Identify performance bottlenecks across application, database, and infrastructure layers, and provide actionable optimization recommendations Analyze test results and produce clear, 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 Simulate real-world failure events such as service outages, network latency, and resource exhaustion; assess recovery mechanisms Recommend, implement, and validate resiliency patterns like circuit breakers, retries, bulkheads, rate limiting, and fallbacks Configure and maintain performance monitoring and observability tools for 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 exercises to ensure systems can handle expected growth and peak workloads Provide data-backed recommendations for horizontal and vertical scaling strategies Support performance readiness for production releases and high-traffic events Collaborate with development, DevOps, and infrastructure teams to optimize application code, database queries, APIs, and system configurations Recommend and enforce best practices for performance tuning within microservices architectures Define and configure Kubernetes performance parameters, including resource requests/limits, autoscaling policies, and pod distribution strategies Ensure optimal performance and stability of containerized applications in cloud-native environments 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 improve testing, monitoring, and resiliency processes Stay current with emerging performance engineering tools, cloud-native technologies, and industry best practices.

Desired Skills / Experience

• 5+ years of experience in performance engineering, automation engineering, or site reliability engineering (SRE)
• 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 like Splunk, ELK Stack, AppDynamics, Datadog, or New Relic
• Strong understanding of microservices architecture, distributed systems, and resiliency patterns
• Proven experience supporting and optimizing 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, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

Pay Range

The approximate pay range for this position is between $38.00 and $55.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Company Culture

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.