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Principal Software Engineer- Full stack cloud

F5 Networks

Principal Software Engineer- Full stack cloud

F5 Networks

2 Locations

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Hybrid Work

Career growth and development opportunities

Recognitions and Rewards

Employee Assistance Program

Competitive pay

Comprehensive benefits

Culture of Giving Back

Diversity & Inclusion Interest Groups

Required Skills

React

Next.js

TypeScript

Node.js

Python

Go

Java

Azure

AWS

Terraform

Kubernetes

Docker

CI/CD

Infrastructure as Code

Redis

Elasticsearch

Apache Kafka

Observability

Security

AI/ML

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.

Principal Full-Stack Engineer — Customer Success & Support

Why this role

Build and operate end-to-end systems that power myF5, case management, knowledge, and agent tooling. You’ll deliver scalable cloud services, modern web experiences, CI/CD/IaC, and data platforms that measurably improve self-service, deflection, MTTR and agent productivity — while helping the org adopt AI to multiply team impact.

What you’ll own

  • Architect and ship full-stack solutions (React/Next.js + TypeScript frontends; Node/Python/Go/Java backends) and production APIs.

  • Design cloud architectures on public cloud: managed DBs, object storage, networking, IAM, and secure service-to-service patterns.

  • Build data platforms: relational + NoSQL, caching, search, event streams, and object storage; enable vector/semantic stores for AI.

  • Own CI/CD and IaC (Terraform / ARM / Bicep, GitHub Actions / Azure DevOps / Jenkins); containerize and run on Kubernetes (AKS/EKS).

  • Instrument observability and SLAs (metrics, tracing, logging); ensure operational excellence and security/compliance.

  • Integrate with enterprise platforms (Salesforce, Coveo/search, identity providers) and partner with Product, Support Ops, Security, and ML teams.

  • Mentor engineers and introduce standards, templates, and automation to scale delivery.

Required qualifications

  • 10+ years building full-stack systems at scale.

  • Strong frontend (React/Next.js + TypeScript) and backend (Node/Python/Go/Java) experience.

  • Deep Azure and/or AWS experience: compute, networking, managed databases (Postgres/Aurora/DynamoDB/Cosmos), S3/Azure Blob.

  • Hands-on CI/CD and IaC (Terraform / ARM / Bicep; GitHub Actions / Azure DevOps / Jenkins).

  • Containerization & orchestration: Docker + Kubernetes (AKS/EKS).

  • Data platform familiarity: caching (Redis), search (Elasticsearch/Coveo), eventing (Kafka/Kinesis), object storage.

  • Strong observability, security, and production-ops experience.

  • Excellent communicator who translates product/customer needs into robust technical solutions.

  • Leverages AI tools to boost team productivity — uses AI-assisted development and automation to create multiplier effects across the org.

  • Built predictive & generative AI apps in production and can guide product requirements to embed AI features (RAG, embeddings/vector stores, predictive pipelines) into workflows.

  • BS/MS in CS or equivalent experience.

Nice to have

  • Prior experience with customer success / support systems (portal, knowledge).

  • Familiarity with LLM integration patterns and vector DBs (FAISS, Milvus).

  • Experience in regulated environments (FedRAMP/Gov Cloud).

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.

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