Software Engineer II

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. This position is exclusively intended for candidates who successfully completed the F5 Summer 2026 Internship Program and have received an invitation to apply for a return role .     Position Summary     Join F5's Digital organization as a Software Development Engineer (AI) and launch your career with a talented team of engineers. In this entry-level role, you will collaborate with experienced mentors, contribute to meaningful projects, and work with technologies that power real-world solutions across our digital ecosystem.    As a Software Development Engineer (AI), you will contribute to the design and development of scalable systems, explore AI and machine learning technologies, and grow your technical expertise in a supportive environment. Whether your interest is backend development, DevOps, machine learning engineering, or expanding your technical toolkit, you'll take on progressively challenging projects, build your skills, and establish a strong foundation for your career at F5.    Location   This role is based in Seattle, WA .   The Ideal Candidate Will Be Able To:     Contribute to real-world projects across the full development cycle, collaborating with the team to deliver solutions that meet project goals.    Work with peers to design, implement, and test code in a collaborative environment, receiving feedback and guidance from senior engineers.    Analyze requirements, test features, and integrate components into applications with support and mentorship.    Create technical documentation for designs and new features, learning best practices in technical writing and communication.    Participate actively in design and code reviews to absorb best practices, understand quality standards, and continuously improve code quality.    Collaborate with your team to explore and develop data-driven solutions using machine learning and AI technologies.    Ask questions, seek clarification, and leverage mentorship to navigate challenges and accelerate your learning.   Knowledge, Skills and Abilities:     Technical Curiosity : You're eager to apply your programming knowledge, learn new languages and tools, and actively grow your technical skill set.    Problem-Solving Mindset : You think critically, use data to inform decisions, and aren't hesitant to seek guidance when faced with challenges.    Adaptability & Initiative : You're willing to embrace new challenges, contribute ideas to team discussions, and adjust as projects evolve.    Team Player : You enjoy collaborating with others, exchanging ideas, and supporting peers to achieve common goals.    Strong Communicator : You can articulate your thoughts clearly, listen actively, and value diverse perspectives on the team.    Growth Mindset : You view feedback as an opportunity to improve and are committed to continuous learning and professional development.   Required Qualifications:     Bachelor's degree in Computer Science , Software Engineering, Information Technology, Computer Engineering, or a related field .   Demonstrated programming experience in Python (preferred) or Java/C++/Go, including building APIs/services, writing tests ( pytest /JUnit), and using Git in a collaborative codebase.    Hands-on exposure to machine learning and deep learning concepts and tooling, such as PyTorch (preferred) or TensorFlow/JAX, including training/inference workflows and basic model evaluation.    Familiarity with modern LLM tooling and patterns, such as Hugging Face Transformers, prompt engineering, and retrieval-augmented generation concepts (embeddings + search).    Exposure to data handling for ML, including common formats and pipelines (e.g., Parquet, basic ETL, and data quality checks).    Demonstrated knowledge of computer science fundamentals (e.g., data structures and algorithms).    Must be willing to relocate to Seattle, WA or San Jose, CA if not currently based in one of these locations.   Preferred Skills (Not Required but Valued)     Experience with API development (e.g., FastAPI /Flask, REST/ gRPC ) and backend fundamentals (auth, pagination, error handling).    Experience implementing retrieval-driven AI applications using LangChain / LlamaIndex and vector search technologies (e.g., pgvector , Pinecone, Milvus, Weaviate ).    Familiarity with fine-tuning approaches (e.g., LoRA /PEFT) and/or ML experimentation tools ( MLflow or Weights & Biases).    Exposure to containers and modern DevOps: Docker, Kubernetes basics, CI/CD (e.g., GitHub Actions, GitLab CI).    Observability basics: logging/metrics/tracing (e.g., OpenTelemetry , Prometheus/Grafana concepts).    Experience with distributed/data tooling used in ML workloads: Spark, Ray, Kafka, or Airflow.   Why  You’ll  Love F5      Seamless Transition : Move from internship to full-time with continuity in your team, projects, and growth trajectory   Professional Development : Continue developing your skills with ongoing training, mentorship, and access to advanced learning opportunities   Meaningful Work : Contribute to real business impact and solve complex enterprise data challenges   Collaborative Culture : Work alongside experienced analysts, engineers, and leaders in an inclusive, innovative environment   Career Growth : Excel in your role and build a long-term career path with F5, including opportunities for advancement an