Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
10+ years of experience in DevOps, Performance Engineering, and/or Tools Development for enterprise-scale systems
Extensive experience testing large-scale web-based distributed applications on containers such as Apache/Tomcat, JBoss, WebLogic, and WebSphere in Linux production environments using Postgres, MySQL, or Oracle
Strong communication, collaboration, problem-solving, conflict resolution, and time management skills; able to tailor communication style to suit various audiences
Proven ability in benchmarking system and database performance, capacity sizing, and identifying optimization opportunities
Skilled at analyzing customer usage patterns to determine key performance requirements
Experienced in recommending and implementing configuration tuning to address performance bottlenecks
Proficient in troubleshooting and debugging application and server logs, with the ability to triage complex issues effectively
Experienced in setting up and configuring multi-node application and database environments
Strong knowledge of job control and hands-on expertise in shell scripting and text processing tools (e.g., awk, sed, Perl)
Analytical and detail-oriented, with a passion for continuous learning and new technologies
Effective team contributor with a strong sense of ownership and attention to detail
BS/MS in Computer Science with a track record of developing and deploying mission-critical software
Strongly Desired:
Deep expertise with CentOS/RedHat in large-scale production environments
Familiarity with monitoring and testing tools such as AppDynamics, Jenkins, Splunk, and New Relic
Solid background in agile software development methodologies, particularly Scrum
Experience with the ServiceNow platform, including custom development beyond out-of-the-box configurations
Knowledge of concurrency, multithreading, and distributed system deployment
Understanding of database schemas, tablespaces, indexing, and performance tuning
Foundational knowledge of AI technologies, including Agentic AI, algorithms, LLM models, RAG frameworks, and knowledge graphs
10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience