Sr. Software Engineer, Cloud SRE and Automation

About the position At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Position Summary: We're seeking a Senior Software Engineer specializing in Cloud SRE and Automation with strong expertise in building reliable, scalable cloud infrastructure, implementing runbook automation, and driving operational excellence through intelligent automation and observability.

Responsibilities

• Build and Scale Cloud Infrastructure with Reliability
• Design, develop, and implement cloud-native automation and remediation services across AWS, Azure, and GCP platforms
• Build and maintain highly available, scalable infrastructure using Infrastructure as Code (Terraform, CloudFormation, ARM Templates)
• Develop and optimize cloud architectures for reliability, performance, and cost efficiency
• Implement and manage Kubernetes-based containerized workloads across multi-cloud environments
• Design and build self-healing systems with automated remediation and closed-loop automation
• Create and maintain observability pipelines, monitoring solutions, and alerting systems across cloud platforms
• Develop cloud-native CI/CD pipelines for rapid, reliable application and infrastructure deployments
• Drive SRE Excellence and Automation
• Apply Site Reliability Engineering principles including SLIs, SLOs, SLAs, and error budgets to cloud services
• Design and implement runbook automation frameworks for incident response and operational tasks
• Build automation tools and scripts to reduce toil and improve operational efficiency
• Develop integration layers with ITSM platforms, incident management systems, and monitoring tools (ServiceNow, PagerDuty, Jira)
• Implement chaos engineering and resilience testing to validate system reliability
• Perform capacity planning, performance tuning, and cost optimization for cloud resources
• Participate in incident response, on-call rotations, and conduct blameless postmortems
• Monitor, Observe, and Optimize
• Implement comprehensive observability solutions using Prometheus, Grafana, OpenTelemetry, CloudWatch, and other tools
• Build automated alerting and intelligent runbook triggering based on system metrics and logs
• Develop dashboards and metrics to track system health, performance, and reliability
• Analyze system behavior and implement predictive analytics for proactive issue detection
• Optimize application and infrastructure performance across distributed cloud environments
• Collaborate and Mentor
• Work closely with SREs, QA, development teams, and platform engineers to improve reliability and performance
• Mentor junior engineers on SRE best practices, cloud architecture, and automation development
• Participate in code reviews, technical design discussions, and architecture planning
• Contribute to the evolution of SRE culture and practices within the organization
• Document automation workflows, runbooks, cloud architectures, and operational procedures

Requirements

• Software Engineering & SRE Experience – 6-8 years of software development experience with 3+ years in SRE, DevOps, cloud engineering, or platform engineering roles
• Programming Skills – Strong programming proficiency in Python
• Cloud Platform Expertise – Hands-on experience with multi-cloud environments: AWS: EC2, ECS/EKS, Lambda, CloudWatch, CloudFormation, Step Functions, Systems Manager, Auto Scaling, VPC, IAM, S3, RDS/DynamoDB Azure: Virtual Machines, AKS, Azure Functions, Azure Monitor, ARM Templates, Logic Apps, Azure Automation, Virtual Networks, Azure AD GCP: Compute Engine, GKE, Cloud Functions, Cloud Monitoring, Deployment Manager, Cloud Workflows, VPC, IAM
• Experience with at least two major cloud providers
• Kubernetes & Containers – Strong experience with: Kubernetes architecture, deployments, services, and operations Container orchestration (EKS, AKS, GKE) Docker, containerd, and container image management Helm, Kustomize for application packaging
• SRE Principles & Practices – Deep understanding of: Site Reliability Engineering methodologies (SLIs, SLOs, SLAs, error budgets) Incident management, on-call practices, and postmortem culture Toil reduction and automation strategies Capacity planning and performance engineering Chaos engineering and resilience testing
• Observability & Monitoring – Hands-on experience with: Prometheus, Grafana, OpenTelemetry Cloud-native monitoring (CloudWatch, Azure Monitor, Cloud Logging) Log aggregation and analysis (ELK Stack, Splunk, Datadog) Distributed tracing and APM tools Time-series databases and metrics systems
• CI/CD & DevOps – Strong experience with: CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions, ArgoCD) Git-based workflows and version control Automated testing and deployment strategies
• Communication & Problem-Solving – Excellent troubleshooting, debugging, and analytical skills; strong written and verbal communication abilities

Nice-to-haves

• Advanced Cloud Skills – Experience with: Multi-cloud architecture and hybrid cloud deployments Cloud migration strategies and implementation Serverless architectures and event-driven systems Cloud cost optimization and FinOps practices Cloud security best practices and compliance frameworks
• Advanced Kubernetes – Experience with: Kubernetes operators and custom controllers Custom Resource Definitions (CRDs) Kubernetes security, RBAC, and network policies Multi-cluster and multi-tenant Kubernetes architectures
• AI/ML for Operations – Understanding or experience with: Machine learning concepts for IT operations Anomaly detection and predictive analytics Intelligent alerting and automated root cause analysis Log analysis using ML techniques
• Advanced Observability – Experience with: eBPF for advanced system observability Custom OpenTelemetry collectors and instrumentation Advanced APM tools (New Relic, Dynatrace, AppDynamics) Network performance monitoring (ThousandEyes, Kentik)
• Additional Automation Tools – Experience with: ChatOps frameworks and integrations Incident response automation platforms (Shoreline, Resolve) Event streaming platforms (Kafka, Kinesis, Pub/Sub)
• Automation & Runbooks – Experience with: Runbook automation platforms (Rundeck, StackStorm, Ansible Tower/AWX) Workflow orchestration and job scheduling Automated remediation and self-healing systems Event-driven automation frameworks
• Additional Experience: Contributions to open-source cloud, SRE, or automation projects Experience with database reliability (MySQL, PostgreSQL, NoSQL) Knowledge of disaster recovery and high availability patterns

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