Software Engineer - Systems Engineering

Key Responsibilities 
• Cloud Infrastructure Management: ◦ Assist in deploying, managing, and monitoring applications on AWS, Azure, and GCP. ◦ Support the maintenance and optimization of cloud resources to ensure cost-effectiveness and performance. 
• Kubernetes Management: ◦ Deploy, manage, upgrade and maintain Kubernetes clusters across multiple cloud platforms. ◦ Implement best practices for Kubernetes orchestration, scaling, and security. ◦ Troubleshoot and resolve issues within Kubernetes environments to ensure high availability and performance. 
• DevOps Practices: ◦ Collaborate with development teams to implement CI/CD pipelines using tools such as Jenkins,ArgoCD, Ansible, or Azure DevOps. ◦ Automate deployment processes and infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform or CloudFormation or Crossplane 
• Monitoring and Incident Management: ◦ Monitor system performance and reliability using tools like Prometheus, Grafana, Datadog, or similar. ◦ Participate in incident response, troubleshooting, and root cause analysis to resolve outages and performance issues. 
• System Reliability and Performance: ◦ Assist in designing and implementing strategies to enhance system reliability, scalability, and availability. ◦ Contribute to capacity planning and performance tuning of applications and infrastructure. 
• Collaboration and Documentation: ◦ Work closely with cross-functional teams to ensure seamless integration and deployment of applications. ◦ Maintain comprehensive documentation for infrastructure, processes, and procedures. 
• Security and Compliance: ◦ Support the implementation of security best practices in cloud and Kubernetes environments. ◦ Ensure compliance with relevant industry standards and organizational policies. 

Qualifications 
• Education: ◦ Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. ◦ Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Google Associate Cloud Engineer) are a plus. 
• Experience: ◦ 1-3 years of experience in a similar role, preferably in site reliability engineering, DevOps, or cloud engineering. 
◦ Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Skills and Competencies 
• Technical Skills: 
◦ Proficiency with cloud services across AWS, Azure, and GCP. 
◦ Strong experience with Kubernetes, including deployment, management, and troubleshooting of clusters. 
◦ Experience with scripting languages such as Python, Bash, or PowerShell. 
◦ Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. 
◦ Understanding of networking concepts, including VPCs, subnets, load balancers, and DNS. 
• DevOps Tools: ◦ Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI). ◦ Knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible, CloudFormation). 
• Monitoring and Logging: ◦ Familiarity with monitoring tools (e.g., Prometheus, VictoriaMetrics, Grafana, any APM) and logging solutions (e.g., ELK Stack, Splunk). 
• Problem-Solving: ◦ Strong analytical and troubleshooting skills to identify and resolve system issues efficiently. 
• Communication: ◦ Excellent verbal and written communication skills to collaborate effectively with team members and stakeholders. 
• Adaptability: ◦ Ability to learn new technologies quickly and adapt to evolving project requirements. Preferred Qualifications 

• Advanced Certifications: ◦ Additional cloud certifications or specialized training in SRE practices. 
• Experience with Automation: ◦ Proven experience in automating routine tasks and processes to improve efficiency. 
• Understanding of Agile Methodologies: ◦ Familiarity with Agile or Scrum frameworks and participating in iterative development cycles. 
• Security Best Practices: 
• Knowledge of cloud and Kubernetes security principles and experience implementing security measures in cloud and Kubernetes environments.