Production Support Engineer Performance Goals And Objectives

Production Support Engineer Goals and Objectives Examples

Ensure timely resolution of production issues.
Minimize downtime through proactive support procedures.
Maintain a high level of availability for production systems.
Keep production systems up-to-date with the latest patches and updates.
Conduct regular performance monitoring and capacity planning.
Document all production support activities for future reference.
Develop and maintain scripts to automate routine tasks.
Work closely with development teams to identify potential issues before they arise in production.
Provide technical expertise to developers during the development process.
Develop comprehensive knowledge of all production systems and their dependencies.
Respond to all production-related alerts promptly.
Ensure that all production systems are secure from external threats.
Develop and maintain comprehensive disaster recovery plans.
Ensure that all production systems adhere to ITIL best practices.
Provide regular reports on system performance and uptime.
Conduct root-cause analysis for all major production incidents.
Maintain accurate records of all production-related incidents.
Identify opportunities for process improvements within the production support team.
Stay up-to-date with new technologies and tools relevant to the role.
Collaborate with other IT teams to ensure seamless integration of new systems into the production environment.
Participate in the testing of new releases and updates prior to deployment in production.
Develop and maintain strong working relationships with internal customers.
Communicate effectively with stakeholders at all levels of the organization.
Maintain a positive attitude and professional demeanor at all times.
Complete assigned tasks within established timeframes.
Proactively seek out opportunities to improve processes and procedures.
Support end-users in resolving issues related to the production environment.
Assist in training end-users on how to use production systems effectively.
Track and manage all production-related tickets to completion.
Effectively prioritize tasks based on urgency and impact on the business.
Continuously monitor system logs for errors or anomalies.
Ensure that all system documentation is accurate and up-to-date.
Conduct regular security audits of production systems.
Monitor system backups to ensure they are running correctly.
Establish and maintain strong relationships with vendors and technology partners.
Take ownership of complex issues until they are resolved.
Maintain a high level of customer satisfaction among internal customers.
Provide guidance on best practices for system administration and management.
Contribute to the development of disaster recovery plans for all critical systems.
Collaborate with other IT teams to ensure that data is backed up regularly and securely.
Effectively manage competing priorities and deadlines.
Continuously review and improve existing monitoring and alerting mechanisms.
Review system logs for signs of malicious activity or unusual behavior.
Provide assistance to other members of the production support team as needed.
Participate in on-call rotation to provide 24/7 support for critical systems.
Continuously review and improve existing backup and recovery processes.
Provide input on hardware and software purchases for the production environment.
Ensure that all configuration changes are properly documented and approved before implementation.
Continuously review system performance metrics and make recommendations for improvement as needed.
Recommend changes to system architecture to improve performance or stability.
Work collaboratively with other IT teams to troubleshoot complex issues.
Continuously review and improve system monitoring processes.
Participate in disaster recovery drills to ensure preparedness for system failures or natural disasters.
Work closely with business stakeholders to understand their needs and requirements for production systems.
Develop automated tests to verify system functionality after updates or changes are made.
Conduct performance tuning activities as needed to optimize system performance.
Train other members of the production support team on new technologies or processes as needed.
Develop custom monitoring solutions using open-source tools or vendor-specific APIs.
Evaluate third-party tools or software solutions for potential use in the production environment.
Maintain an inventory of all hardware and software assets in the production environment.
Work with security teams to implement security controls on production systems, such as firewalls or intrusion detection systems.
Develop custom scripts or tools to automate repetitive tasks or troubleshoot issues more quickly.
Continuously monitor system resources to ensure that they are being used efficiently and effectively.
Create detailed runbooks for common issues or procedures to facilitate faster resolution times.
Develop custom dashboards to provide real-time visibility into system health and performance metrics.
Investigate and remediate vulnerabilities identified through periodic penetration testing or other security assessments.
Create documentation outlining procedures for disaster recovery scenarios, such as failover or data loss events.
Stay up-to-date with industry trends and best practices in production support engineering.
Use automation tools such as Ansible or Puppet to streamline server provisioning and software deployment processes.
Implement load balancing strategies to optimize application performance under heavy loads.
Troubleshoot network connectivity issues between different components of a distributed application stack.
Configure SSL certificates, IPSec tunnels, or other encryption mechanisms to secure data transmitted between systems.
Develop custom integrations between different applications or services via REST APIs, webhooks, or other means.
Monitor cloud-based infrastructure services such as AWS EC2, RDS, or Azure VMs, ensuring proper scaling policies are in place.
Prepare reports, presentations, or other materials for senior management regarding system availability, performance, or other key metrics.
Leverage containerization technologies such as Docker, Kubernetes, or EKS to enable efficient resource utilization & deployment flexibility.
Use data analytics tools such as Splunk, Elk Stack, or Sumo Logic to gain insights into system behavior & trends.
Participate in code reviews, debugging sessions or other collaboration activities with development teams to identify & resolve bugs/issues.
Use software testing methodologies such as TDD, BDD, or automated regression testing suites to validate code quality & reliability.
Define and implement service level agreements (SLAs) for production systems based on business requirements.