Lead Software Engineer – Risk Solutions

🕒 February 20

🏢🏡 San Jose – Hybrid

💵 $196.5k - $291.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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10,000+ employees

We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day.

📋 Description

• Makes technical decisions affecting multiple teams, crossing organizational boundaries • Establishes conventions & processes to be followed by other employees • Actions determine the utilization of company resources (people, money, assets) and affect the effectiveness of the company • Handles multiple, multi-team initiatives simultaneously, using judgement to prioritize among more issues than can be handled individually. • Understands evolving industry capabilities & practices and can judiciously apply up--to-date information for optimal results • Competent at communicating technical issues with non-technical audiences • Spreads their behavior, principles, and knowledge as a means of improving technical results of other employees (via many means – modeling behavior, 1:1s, working sessions, quality documentation) • Partners with product management, to ideate solutions to business problems & goals

🎯 Requirements

• 10+ years of software engineering experience, including ownership of distributed, data-intensive systems in large-scale production environments. • Strong expertise in cloud-native engineering, with a preference for GCP. • Hands-on experience with BigQuery, Pub/Sub, Dataproc, Cloud Functions, or equivalent services. • Proficient in backend development using Java, Python, or Node.js, with a deep understanding of microservices and service orchestration. • Hands-on experience with Big Data frameworks: Apache Spark, Kafka, Hadoop, Hive, and Airflow. • Experience designing and optimizing streaming architectures and near real-time processing systems. • Strong understanding of data modeling, SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis), and performance tuning at scale. • Exposure to AI-assisted engineering tools or strong interest in leveraging such tools to improve software delivery. • Solid grounding in computer science fundamentals: data structures, algorithms, object-oriented design, operating systems. • Familiarity with DevOps, including CI/CD pipelines, automation, and performance monitoring. • Excellent communication and collaboration skills; experience working across cross-functional teams.

🏖️ Benefits

• Generous paid time off • Healthcare coverage for you and your family • Resources to create financial security and support your mental health