DevOps Engineer (Application Operations Command Specialist)

at  ASURE GROUP PTE LTD

OVERVIEW:

The Application Operations Command (AppOps) Specialist oversees the centralized management and operational aspects of applications within our organization, ensuring their health, performance, and security throughout their lifecycle. As an AppOps Engineer, you will ensure application efficiency and security while working closely with Site Reliability Engineers (SREs) and Security Analysts. SREs focus on building scalable and reliable systems, while Security Analysts maintain application security, monitor threats, and respond to incidents. This role is crucial for maintaining the stability and performance of applications, providing a seamless user experience.

REQUIREMENTS AND QUALIFICATIONS:

• Proven experience in Application Operations, Site Reliability Engineering, or a related field.
• Experience with monitoring tools (Prometheus, Grafana, New Relic, Datadog, Splunk).
• Experience with incident management platforms (PagerDuty, Opsgenie, ServiceNow).
• Experience with APM tools (Dynatrace, AppDynamics, New Relic).
• Experience with CI/CD and deployment automation tools (Jenkins, GitLab CI, Ansible, Puppet, Chef).
• Experience with cloud platforms (AWS, Azure, Google Cloud) and container orchestration systems (Kubernetes).
• Strong understanding of application performance optimization, security practices, and incident management.
• Proficiency in scripting languages (e.g., Python, Bash) for automation tasks.
• Knowledge of security tools and best practices for maintaining application security.
• Familiarity with logging and analysis tools (ELK Stack, Splunk, Fluentd).
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Equivalent work experience may be considered.
• Relevant certifications such as AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), Certified Information Systems Security Professional (CISSP), or similar.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced environment and handle multiple priorities.
• Proactive attitude towards identifying and resolving potential issues before they impact the business.

1. Monitoring and Alerting:

• Continuously monitor applications to track performance, availability, and security.
• Set up alerts for anomalies, such as increased latency, errors, or security breaches.
• Utilize tools like Prometheus, Grafana, New Relic, Datadog, and Splunk for real-time monitoring and alerting.

1. Incident Management:

• Efficiently handle incidents impacting applications, including outages, slowdowns, or security breaches.
• Identify, respond to, and resolve issues quickly to minimize downtime and impact.
• Coordinate incident responses and communications using platforms like PagerDuty, Opsgenie, and ServiceNow.

1. Performance Optimization:

• Analyze and enhance the performance of applications through code, database, and infrastructure optimization.
• Use APM (Application Performance Management) tools such as Dynatrace, AppDynamics, and New Relic to monitor and analyze performance metrics.

1. Deployment and Configuration Management:

• Manage the deployment of new features, updates, and patches in a controlled and consistent manner.
• Automate deployments and manage application configurations using CI/CD tools like Jenkins, GitLab CI, and deployment automation tools like Ansible, Puppet, and Chef.

1. Security Management:

• Ensure applications are secure and compliant with industry standards and regulations.
• Conduct regular security assessments, vulnerability scanning, and apply patches.
• Use security tools such as Nessus, OWASP ZAP, and various SIEM systems to maintain application security.

1. Capacity Planning and Scaling:

• Plan for and manage the scaling of applications to accommodate varying loads and traffic.
• Implement both vertical scaling (adding resources to existing servers) and horizontal scaling (adding more servers).
• Utilize cloud management platforms like AWS, Azure, Google Cloud, and container orchestration systems like Kubernetes for scaling.

1. Logging and Analysis:

• Collect and analyze application logs to gain insights into behavior, diagnose issues, and understand usage patterns.
• Use logging tools like ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, and Fluentd for log aggregation and analysis.