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Sr. Software Engineer, Full Stack

F5 Networks

Sr. Software Engineer, Full Stack

F5 Networks

2 Locations

·

On-site

·

Full-time

·

1w ago

Compensation

$176,800 - $265,200

Required Skills

Python

Kubernetes

AWS

Azure

GCP

Prometheus

Grafana

OpenTelemetry

CI/CD

Git

SRE

Cloud architecture

Troubleshooting

Communication

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.

What You'll Do:

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 (Service Now, Pager Duty, 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, Open Telemetry, 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

Qualifications:

Must-Have:

  • 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, Open Telemetry
  • 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-Have:

  • 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 Fin Ops 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 Open Telemetry collectors and instrumentation
  • Advanced APM tools (New Relic, Dynatrace, App Dynamics)
  • Network performance monitoring (Thousand Eyes, Kentik)
  • Additional Automation Tools – Experience with:Chat Ops frameworks and integrations
  • Incident response automation platforms (Shoreline, Resolve)
  • Event streaming platforms (Kafka, Kinesis, Pub/Sub)
  • Automation & Runbooks – Experience with:Runbook automation platforms (Rundeck, Stack Storm, 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

Education:

  • Typically requires a minimum of 10+ years of related experience with a bachelor's degree; or 3+ years and a master's degree
  • Bachelor's degree in Computer Science, Information Technology, or related field preferred

Environment:

  • Freedom and Learning: Embrace an environment that fosters freedom, continuous learning, and ownership
  • Mentorship: Benefit from great mentors with solid backgrounds in various areas, eager to contribute to your professional development
  • Team Collaboration: Join a great team where you will feel at home from day one, contributing to a positive and supportive workplace culture

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

The annual base pay for this position is: $176,800.00 - $265,200.00

F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.

You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

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About F5 Networks

F5 Networks

A multi-cloud application services and security company that specializes in application security, performance, and delivery.

5,001-10,000

Employees

Seattle

Headquarters

$2.8B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

3.5

Career

3.0

Management

3.0

Pros

Good salary and compensation

Good benefits and health insurance

Great work-life balance and flexibility

Cons

Management issues and favoritism

High workload and weekend coverage

Limited career growth opportunities

Salary Ranges

14 data points

Junior/L3

Mid/L4

Junior/L3 · Data Analyst

0 reports

$83,000

total / year

Base

-

Stock

-

Bonus

-

$70,550

$95,450

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Network/Infrastructure Concepts