... metrics, detect anomalies, and optimize latency and reliability. • Define alerts, automate ... WAFs, and bot mitigation solutions. • Proficiency in modern CI/CD tools (GitLab CI, ArgoCD ...
... metrics, detect anomalies, and optimize latency and reliability. • Define alerts, automate ... WAFs, and bot mitigation solutions. • Proficiency in modern CI/CD tools (GitLab CI, ArgoCD ...
Bot Detection information
What are some common challenges faced by professionals working in Bot Detection roles?
Professionals in Bot Detection roles often face the challenge of keeping up with rapidly evolving attack techniques, as cybercriminals continually develop more sophisticated bots to bypass defenses. Staying ahead requires continuous learning, close monitoring of traffic patterns, and swift adaptation of detection strategies. Additionally, balancing the effective blocking of malicious bots while minimizing false positives that could impact real users is a critical aspect of the job. These challenges make the work dynamic and intellectually engaging, and successful bot detection specialists are those who enjoy problem-solving and adapting to new threats.
What are the key skills and qualifications needed to thrive in the Bot Detection position, and why are they important?
To thrive in Bot Detection, a strong background in cybersecurity, data analysis, and knowledge of machine learning or statistical modeling is essential, typically supported by a degree in computer science, information security, or a related field. Experience with tools such as SIEM platforms, bot mitigation software, scripting languages (like Python), and relevant certifications (e.g., CEH, CISSP) is often preferred. Analytical thinking, attention to detail, and effective communication skills are highly valued soft skills in this role. These abilities are important to identify and respond to sophisticated automated threats, safeguard digital environments, and collaborate effectively with cross-functional security teams.
What is a Bot Detection job?
A Bot Detection job involves identifying and mitigating automated bots that engage in fraudulent, malicious, or non-human activities on digital platforms. Professionals in this role use data analysis, machine learning, and behavior-based techniques to differentiate between real users and bots. Their work helps prevent fraud, enhance cybersecurity, and protect businesses from automated threats like account takeovers, spam, and scraping.
What are popular job titles related to Bot Detection jobs in Missouri? For Bot Detection jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Bot Detection jobs in Missouri look for? The top searched job categories for Bot Detection jobs in Missouri are:
What cities in Missouri are hiring for Bot Detection jobs? Cities in Missouri with the most Bot Detection job openings:
Full-time
Re-posted 13 days ago
O'Reilly Auto Parts rating
5.3
Based on 1,874 frontline employees who took The Breakroom Quiz
546th of 729 rated retailers
Job description
Job Summary:
O'Reilly Auto Parts is a leading provider of automotive parts and accessories, and they are seeking a Systems Engineer for their Platform/API Gateway team. This role is responsible for developing and managing enterprise API platforms, ensuring secure and scalable API traffic across various environments while supporting integration and modernization initiatives.
Responsibilities:
• Design and build secure, high-performance APIs for distributed systems.
• Define API specifications (OpenAPI/Swagger), enforce consistent standards, and implement traffic management (rate limiting, transformations, logging).
• Develop API functionality in Java/Python, integrate with microservices and third-party systems, and optimize for GCP services (Cloud Functions, Run, Pub/Sub, Storage).
• Manage API gateways (Apigee X, Kong) including proxies, portals, and platform infrastructure across cloud and hybrid environments.
• Monitor performance, troubleshoot issues, and optimize reliability, latency, and scalability.
• Develop custom policies/plugins and improve developer onboarding through well-designed portals and documentation.
• Automate infrastructure with Terraform and build CI/CD pipelines (Jenkins) for API proxies and gateway configurations.
• Support secure, multi-environment deployments with integrated testing, approvals, rollback, and connections to Git, secrets management, and artifact repositories.
• Leverage GCP tools for scalable pipeline operations.
• Implement API security using OAuth2, JWT, SAML, and API keys, integrated with identity providers (Okta, Azure AD).
• Enforce compliance (PCI, SOC2, HIPAA), apply OWASP best practices, and adopt Zero Trust principles using mTLS, IAM, and network controls to protect data and access.
• Monitor APIs using tools like Prometheus, Grafana, ELK, and GCP observability services.
• Track performance metrics, detect anomalies, and optimize latency and reliability.
• Define alerts, automate remediation, support on-call operations, and lead incident analysis.
• Work across architecture, DevOps, and security teams to ensure aligned API design and governance.
• Mentor engineers, promote API-first development, and contribute to design reviews, resilience testing, and product alignment.
• Manage the full API lifecycle from design to retirement.
• Maintain API catalogs, enforce governance standards (naming, access, SLAs), and ensure alignment with GCP policies and audit requirements.
• Stay current with API and cloud trends, evaluate new tools, and lead PoCs to improve performance, security, and developer experience.
• Continuously refine services for better scalability and reuse.
Qualifications:
Required:
• 3+ years in software engineering, platform development, or systems integration, with strong backend and cloud-native architecture experience.
• 2+ years specializing in API management using Apigee (Edge/X) and Kong, including proxy development, policies, security, and traffic management.
• Proven ability to design and implement RESTful and event-driven APIs, integrating Java/Python services within microservices and DevOps environments.
• Hands-on experience with GCP (Cloud Run, Functions, Pub/Sub, Logging, IAM) and deploying/managing APIs in Apigee X.
• 3+ years working with Apigee (Edge/X) and strong experience with Kong API Gateway, including proxy development, custom policies, and managing multiple gateways in parallel.
• Expertise in designing scalable, secure RESTful APIs using OpenAPI/Swagger, with strong knowledge of versioning, rate limiting, quotas, and caching.
• Advanced programming skills in Java and Python for backend services, integrations, and gateway extensions (Node.js/scripting as a plus).
• Hands-on experience with GCP services (Apigee X, Cloud Run, Functions, Pub/Sub, IAM, VPC, Monitoring/Logging) and hybrid/multi-cloud networking.
• Strong DevOps background with CI/CD pipelines (Jenkins, GitHub Actions, Cloud Build), Terraform-based IaC, and Git-driven release workflows.
• Deep understanding of API security (OAuth2, JWT, SAML, API keys), encryption, and compliance standards (PCI, SOC2, HIPAA).
• Experience with observability tools (Cloud Monitoring, Prometheus, Grafana, ELK), including alerting, tracing, dashboards, and RCA.
• Proven ability to integrate APIs with microservices and event-driven systems (e.g., Kafka, Pub/Sub).
• Skilled in API gateway performance tuning, including caching, load balancing, fault tolerance, and low-latency optimization.
Preferred:
• Experience with Kubernetes (GKE preferred) and Docker-based containerization, plus familiarity with service meshes like Istio or Linkerd.
• Knowledge of managing and customizing developer portals in Apigee or Kong.
• Exposure to modern API technologies and patterns including GraphQL, gRPC, WebSockets, and asynchronous messaging.
• Experience with advanced API security tools such as Cloud Armor, WAFs, and bot mitigation solutions.
• Proficiency in modern CI/CD tools (GitLab CI, ArgoCD, Spinnaker) and secrets management (HashiCorp Vault, GCP Secret Manager).
• Experience with API testing tools like Postman, SoapUI, ReadyAPI, or Karate.
• Familiarity with observability and tracing tools (OpenTelemetry, Jaeger, Zipkin) and integration with incident response platforms (PagerDuty, Opsgenie).
• Relevant certifications (Google Cloud, Apigee, Professional Cloud Architect, CKA) and industry experience in regulated sectors (e.g., finance, healthcare) with knowledge of standards like GDPR and HIPAA.
Company:
O’Reilly Auto parts is a specialty retailer of automotive aftermarket parts, tools, supplies, equipment and accessories. Founded in 1957, the company is headquartered in Springfield, USA, with a team of 10001+ employees. The company is currently Late Stage.
O'Reilly Auto Parts is a leading provider of automotive parts and accessories, and they are seeking a Systems Engineer for their Platform/API Gateway team. This role is responsible for developing and managing enterprise API platforms, ensuring secure and scalable API traffic across various environments while supporting integration and modernization initiatives.
Responsibilities:
• Design and build secure, high-performance APIs for distributed systems.
• Define API specifications (OpenAPI/Swagger), enforce consistent standards, and implement traffic management (rate limiting, transformations, logging).
• Develop API functionality in Java/Python, integrate with microservices and third-party systems, and optimize for GCP services (Cloud Functions, Run, Pub/Sub, Storage).
• Manage API gateways (Apigee X, Kong) including proxies, portals, and platform infrastructure across cloud and hybrid environments.
• Monitor performance, troubleshoot issues, and optimize reliability, latency, and scalability.
• Develop custom policies/plugins and improve developer onboarding through well-designed portals and documentation.
• Automate infrastructure with Terraform and build CI/CD pipelines (Jenkins) for API proxies and gateway configurations.
• Support secure, multi-environment deployments with integrated testing, approvals, rollback, and connections to Git, secrets management, and artifact repositories.
• Leverage GCP tools for scalable pipeline operations.
• Implement API security using OAuth2, JWT, SAML, and API keys, integrated with identity providers (Okta, Azure AD).
• Enforce compliance (PCI, SOC2, HIPAA), apply OWASP best practices, and adopt Zero Trust principles using mTLS, IAM, and network controls to protect data and access.
• Monitor APIs using tools like Prometheus, Grafana, ELK, and GCP observability services.
• Track performance metrics, detect anomalies, and optimize latency and reliability.
• Define alerts, automate remediation, support on-call operations, and lead incident analysis.
• Work across architecture, DevOps, and security teams to ensure aligned API design and governance.
• Mentor engineers, promote API-first development, and contribute to design reviews, resilience testing, and product alignment.
• Manage the full API lifecycle from design to retirement.
• Maintain API catalogs, enforce governance standards (naming, access, SLAs), and ensure alignment with GCP policies and audit requirements.
• Stay current with API and cloud trends, evaluate new tools, and lead PoCs to improve performance, security, and developer experience.
• Continuously refine services for better scalability and reuse.
Qualifications:
Required:
• 3+ years in software engineering, platform development, or systems integration, with strong backend and cloud-native architecture experience.
• 2+ years specializing in API management using Apigee (Edge/X) and Kong, including proxy development, policies, security, and traffic management.
• Proven ability to design and implement RESTful and event-driven APIs, integrating Java/Python services within microservices and DevOps environments.
• Hands-on experience with GCP (Cloud Run, Functions, Pub/Sub, Logging, IAM) and deploying/managing APIs in Apigee X.
• 3+ years working with Apigee (Edge/X) and strong experience with Kong API Gateway, including proxy development, custom policies, and managing multiple gateways in parallel.
• Expertise in designing scalable, secure RESTful APIs using OpenAPI/Swagger, with strong knowledge of versioning, rate limiting, quotas, and caching.
• Advanced programming skills in Java and Python for backend services, integrations, and gateway extensions (Node.js/scripting as a plus).
• Hands-on experience with GCP services (Apigee X, Cloud Run, Functions, Pub/Sub, IAM, VPC, Monitoring/Logging) and hybrid/multi-cloud networking.
• Strong DevOps background with CI/CD pipelines (Jenkins, GitHub Actions, Cloud Build), Terraform-based IaC, and Git-driven release workflows.
• Deep understanding of API security (OAuth2, JWT, SAML, API keys), encryption, and compliance standards (PCI, SOC2, HIPAA).
• Experience with observability tools (Cloud Monitoring, Prometheus, Grafana, ELK), including alerting, tracing, dashboards, and RCA.
• Proven ability to integrate APIs with microservices and event-driven systems (e.g., Kafka, Pub/Sub).
• Skilled in API gateway performance tuning, including caching, load balancing, fault tolerance, and low-latency optimization.
Preferred:
• Experience with Kubernetes (GKE preferred) and Docker-based containerization, plus familiarity with service meshes like Istio or Linkerd.
• Knowledge of managing and customizing developer portals in Apigee or Kong.
• Exposure to modern API technologies and patterns including GraphQL, gRPC, WebSockets, and asynchronous messaging.
• Experience with advanced API security tools such as Cloud Armor, WAFs, and bot mitigation solutions.
• Proficiency in modern CI/CD tools (GitLab CI, ArgoCD, Spinnaker) and secrets management (HashiCorp Vault, GCP Secret Manager).
• Experience with API testing tools like Postman, SoapUI, ReadyAPI, or Karate.
• Familiarity with observability and tracing tools (OpenTelemetry, Jaeger, Zipkin) and integration with incident response platforms (PagerDuty, Opsgenie).
• Relevant certifications (Google Cloud, Apigee, Professional Cloud Architect, CKA) and industry experience in regulated sectors (e.g., finance, healthcare) with knowledge of standards like GDPR and HIPAA.
Company:
O’Reilly Auto parts is a specialty retailer of automotive aftermarket parts, tools, supplies, equipment and accessories. Founded in 1957, the company is headquartered in Springfield, USA, with a team of 10001+ employees. The company is currently Late Stage.
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Pay
Benefits
Hours and flexibility
Workplace
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About O'Reilly Auto Parts
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Industry
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Company size
10,000+ Employees
Headquarters location
Springfield, MO, US