About the position
At Palo Alto Networks, we are on the hunt for a Senior Staff Backend Engineer who thrives on pushing boundaries and creating innovative solutions. As a key player on our team, you'll be at the forefront of designing, developing, and deploying cutting-edge services and applications that scale effortlessly. Our tech stack is versatile and powerful, featuring Python, Java, Akka, BigQuery, Big Table, Pub Sub, Kubernetes, and more, all within the Google Cloud Platform. This isn't just another coding job; this is your opportunity to influence the future of our architecture and contribute to groundbreaking projects. You'll dive into existing codebases, participate in high-stakes architectural discussions, and see your ideas come to life. We're looking for passionate, lifelong learners who are eager to hone their engineering skills and collaborate cross-functionally to deliver extraordinary results. In our fast-paced, high-energy environment, teamwork and collaboration aren't just buzzwords; they're the core of everything we do. You'll work closely with talented colleagues, product managers, and cross-functional teams to turn ambitious visions into reality.
Responsibilities
- Innovate and elevate by designing, developing, testing, deploying, and enhancing software that sets new standards.
- Write code that doesn't just work but delivers high-quality results with meticulous attention to detail.
- Be a trailblazer in solution design, working side by side with leads and architects to create game-changing architectures.
- Shape the future by interviewing, mentoring, and coaching the next generation of engineering talent.
Requirements
- 8+ years of experience in software engineering, with a focus on data engineering and cloud-native solutions.
- Hands-on experience with Google Cloud Platform (GCP) services, specifically BigQuery, DataFlow, and related data processing tools.
- Strong proficiency in SQL and experience optimizing queries for large-scale datasets.
- Solid programming skills in languages like Python, Java, or Scala, with experience in data manipulation and transformation.
- Familiarity with data modeling, schema design, and performance tuning in BigQuery.
- Experience working with streaming and batch data pipelines in DataFlow or equivalent tools.
- Strong understanding of data security, encryption, and governance principles in a cloud environment.
- Experience with monitoring, troubleshooting, and optimizing data pipelines for reliability and performance.
- Knowledge of CI/CD pipelines for data workflows and integration with tools like Jenkins, GitLab CI/CD, or similar.
- Experience working with distributed event streaming platforms & message broker services (Google Pubsub/ Kafka/ RabbitMQ).
- Experience with Kubernetes or similar container management tooling.
- Must be in the SF Bay area to be onsite.
Benefits
- FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees.
- Mental and financial health resources.
- Personalized learning opportunities.
- Restricted stock units and a bonus.
