A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.
Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
As a Site Reliability Engineer, you will work in an agile, collaborative environment to build, deploy, configure, and maintain systems for the IBM client business. In this role, you will lead the problem resolution process for our clients, from analysis and troubleshooting, to deploying the latest software updates & fixes.
Your primary responsibilities include:
24x7 Observability: Be part of a worldwide team that monitors the health of production systems and services around the clock, ensuring continuous reliability and optimal customer experience.
Cross-Functional Troubleshooting: Collaborate with engineering teams to provide initial assessments and possible workarounds for production issues. Troubleshoot and resolve production issues effectively.
Deployment and Configuration: Leverage Continuous Delivery (CI/CD) tools to deploy services and configuration changes at enterprise scale.
Security and Compliance Implementation: Implementing security measures that meet or exceed industry standards for regulations such as GDPR, SOC2, ISO 27001, PCI, HIPAA, and FBA.
Maintenance and Support: Tasks related to applying Couchbase security patches and upgrades, supporting Cassandra and Mongo for pager duty rotation, and collaborating with Couchbase Product support for issue resolution.
Proficiency in software engineering (projects and experience in, eg. Javascript, Proficiency in software engineering (projects and experience in, eg. Javascript,
?Experience with cloud services and platforms (IBM Cloud, AWS, GCP, MS
- System Monitoring and Troubleshooting: Strong skills in monitoring/observability, issue response, and troubleshooting for optimal system performance.
Automation Proficiency: Proficiency in automation for production environment changes, streamlining processes for efficiency, and reducing toil.
Linux Proficiency: Strong knowledge of Linux operating systems.
Operation and Support Experience: Demonstrated experience in handling day-to-day operations, alert management, incident support, migration tasks, and break-fix support.
- Knowledge in software engineering (projects and familiarity with languages such as JavaScript, C#, Java, Go)
- Knowledge in automating problems or tasks to reduce toil via scripting (PowerShell, shell, Python, etc.)
- Knowledge of source control systems (GitHub, Perforce)
- Knowledge of cloud services and platforms (IBM Cloud, AWS, GCP, MS Azure)
- General Linux knowledge
- Comfortable working with Agile practices
Azure)
?General Linux knowledge
?Happy working using AgiC#, Java, Go)
?Proficiency in automating problems or tasks to reduce toil via scripting
(Powershell, shell, python etc.)
?Confident with source control (Github, perforce)
?Experience with cloud services and platforms (IBM Cloud, AWS, GCP, MS
Azure)
?General Linux knowledge
?Happy working using Agile practices
Kubernetes/OpenShift: Strongly preferred experience in working with production Kubernetes/OpenShift environments.
Automation/Scripting: In depth experience with the Ansible, Python, Terraform, and CI/CD tools such as Jenkins, IBM Continuous Delivery, ArgoCD
Monitoring/Observability: Hands on experience crafting alerts and dashboards using tools such as Instana, New Relic, Grafana/Prometheus
- Knowledge in network and security (firewalls, iptables, VPC configuration and monitoring)
- Knowledge of system design (cloud-native architectures, best practices for availability and resiliency, methods for problem isolation)
- Knowledge of pipeline tools for deploying and managing applications (Travis, Jenkins)
- Knowledge of infrastructure-as-code tools (Ansible, Terraform, Blueprints)
- Knowledge of observability practices, including defining metrics and dashboards, and using tools (Sysdig, Kibana, Prometheus, Grafana, Zabbix)
- Knowledge of logging and analytics frameworks (Splunk, LogDNA, ELK stack)
- Knowledge of deploying and troubleshooting resilient services on Kubernetes