Technical Specialist, Cloud Infrastructure

You Will:

• Reliability Engineering: Own and enhance the reliability of services deployed across various cloud regions. You will proactively monitor, automate, and scale services to ensure seamless uptime and performance.
• Containerization & Microservices Deployment: Lead the containerization and deployment of microservices and data pipelines on Kubernetes, using Helm charts, ensuring best practices for scalability and fault tolerance.
• DevOps Advocacy: Foster and advocate for a DevOps culture that emphasizes automation, self-service, and engineering excellence. Enable development teams to manage and deploy applications seamlessly with minimal intervention.
• Performance Monitoring & Autoscaling: Implement autoscaling strategies and monitor the performance of applications and infrastructure with tools like Prometheus, Grafana, and other observability platforms.
• Site Reliability Engineering (SRE): Perform SRE tasks such as availability monitoring, incident response, post-mortem analysis, and preparing reliability reports for leadership and stakeholders.
• Tool Deployment & Maintenance: Deploy, configure, and maintain essential cloud services and tools including Kafka, Spark, Presto, Airflow, MQTT, and other microservices platforms in a cloud-native environment.
• Infrastructure as Code (IaC): Set up and manage cloud infrastructure using tools like Terraform, Cluster API, and other IaC frameworks, ensuring seamless provisioning, management, and scaling of resources.
• Automated Alerts & Recovery: Continuously enhance and automate alerting, incident detection, and recovery mechanisms for critical applications and services to minimize downtime and improve system reliability.
• On-Call Rotation: Participate in an on-call rotation to meet business SLAs, quickly troubleshoot and resolve issues, and document runbooks for consistent incident management processes.
• Agile Collaboration: Work closely with Product Owners, Engineering Managers, and cross-functional teams in Agile Scrum and Kanban workflows to deliver iterative improvements and meet evolving business needs.
• Impact Analysis & Incident Management: Perform impact analysis during incidents, collaborate with teams for root cause analysis, and implement preventive measures to avoid recurrence.

You Bring:

• B.S. or M.S. degree in Computer Science, Engineering, or a related technical field, or equivalent experience may be considered in lieu of degree.
• 8+ years in Cloud Infrastructure, Site Reliability Engineering (SRE), DevOps Engineering, or related fields
• At least 4+ years of hands-on experience deploying, managing, and optimizing containerized applications using Kubernetes in both public and private cloud environments (AWS, GCP, Azure, etc.).
• 4+ years in Infrastructure-as-Code (IaC) using Terraform, Cluster API, or similar automation frameworks to manage cloud infrastructure.
• Experience in scripting or programming with Python, Go, Bash/Shell, or similar languages.
• Strong understanding of using Prometheus, Grafana, and other monitoring and observability tools.
• Ability to effectively diagnose and resolve performance bottlenecks within AWS at the infrastructure and application layers.
• Configuration Management: Experience with configuration management and automation tools such as Ansible, Chef, or Puppet (preferred but not required).