About this role
Associate, Technology Operations Engineering monitors and maintains technology systems or network infrastructure, provides technical support, and collaborates on the development of new technologies and procedures to align with business objectives.
Education and Knowledge
Minimum of 5+ years of relevant experience in application development, maintenance, and production support, along with hands-on exposure to Java and distributed systems in enterprise environments.
• Bachelor’s degree in computer science, Information Technology, Engineering, or equivalent practical experience; advanced degree is a plus
• Strong knowledge of operating systems and application runtimes such as Java and .NET
• Knowledge of distributed systems and service‑based architectures from an operations and reliability perspective
• Strong knowledge of modern observability stacks and platforms, including Splunk, Elasticsearch, Prometheus, and Grafana
• Knowledge of observability practices including logging, monitoring, tracing, and performance analysis
• Knowledge of RDBMS and NoSQL databases including MySQL, PostgreSQL, Couchbase, HBase, and Cassandra
• Knowledge of scripting and automation using languages such as PowerShell and Python
• Basic understanding of AI, analytics, or AIOps platforms from an operational perspective is a plus
Work Experience
• Experience in Incident, Problem, and Change Management using ServiceNow or similar ITSM tools
• Experience supporting production systems in large‑scale enterprise environments with a focus on reliability and availability
• Experience in system administration, infrastructure operations, and network troubleshooting
• Experience with CI/CD pipeline implementation and support using tools such as Jenkins, GitHub Actions, XL Release (XLR), or similar
• Experience managing and troubleshooting technology infrastructure and services, including servers, networks, and cloud platforms
• Knowledge of cloud‑based Site Reliability Engineering (SRE) practices with hands‑on experience on public cloud platforms such as AWS, Azure, or Google Cloud Platform
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes, and microservices‑based architectures
• Experience using enterprise monitoring and alerting platforms such as ELF
• Exposure to AI‑assisted monitoring, automation, or AIOps tools is a plus
• Experience accessing and managing remote systems using tools such as RDP and Citrix
• Proficiency in connecting to and administering servers via SSH (Secure Shell)
• Knowledge of core networking concepts including ports, protocols, firewalls, and secure remote access
Licenses & Certifications
• Certification in at least one programming language or runtime such as Java, .NET, or Python
• Certification in containerization and orchestration technologies (Docker, Kubernetes, OpenShift) is a plus
• Public cloud certification in AWS or GCP is a plus
• Certification or training related to AI platforms, analytics platforms, or AIOps is a plus