Staff Software Engineer

Mercury Insurance is consistently recognized for their achievements and culture, including being named one of America's Best Midsize Employers for 2026. The Staff Software Engineer will provide technical leadership for agile teams, focusing on the design, development, and maintenance of complex software systems while mentoring junior engineers.

Responsibilities:

• Write high-quality code for complex scenarios with good test coverage
• Review and translate product requirements into robust designs to ensure high-quality distributed application systems that are modular, configurable, maximize reuse, and are fast, effective, user-friendly, secure, compliant, scalable, and maintainable
• Lead design and code reviews of multiple applications to ensure best practices, adherence to Mercury standards, and high quality
• Lead multiple sprint teams within the same product area to deliver new or improved features, addressing any impediments in delivering high-quality solutions for items in the product backlog
• Collaborate with other teams and stakeholders as necessary to ensure overall successful delivery of the intended functionality
• Mentor and provide technical guidance to other engineers across multiple teams within the same functional area, fostering a culture of innovation and excellence within Mercury engineering
• Collaborate with product managers to estimate effort, prioritize work, plan, and deliver prioritized roadmap items

Requirements:

• Bachelor's Degree in Computer Science, Information Systems or other related fields Or equivalent combination of education and experience
• 7+ years software engineering experience with proven experience in cutting-edge Technologies and/or those used at Mercury
• 3+ years hands-on experience leading multi-team engineering initiatives for building features in a distributed application systems environment
• Proficient in programming in one or more industry-standard languages (e.g., Java, Python, Go, C++, JavaScript)
• Proficient in leveraging various data structures, algorithms, and design patterns. Experienced in relational databases, NoSQL, and caching solutions
• Skilled in APIs using modern protocols like REST and gRPC
• Experienced in message queuing, data streaming, workflow, and integration frameworks (such as Apache Kafka, Apache NiFi, Amazon SQS, MS MQ, Apache Camel, etc.). Knowledgeable in microservices architecture
• Experienced in containerization technologies like Docker and Kubernetes. Proficient in cloud platforms such as AWS, Google Cloud, or Azure
• Experienced in leveraging DevSecOps to improve engineering efficiency
• Proficient in designing and implementing high-quality distributed application systems that are modular, configurable, maximize reuse, and are fast, effective, user-friendly, secure, compliant, scalable, and maintainable
• Experienced in leveraging analytics data and experimentation to design and improve systems for speed, scalability, and effectiveness
• Excellent problem-solving skills leading to innovative solutions
• Strong communication skills. Strong ability to collaborate and influence cross-functional teams and stakeholders across multiple functional areas to address impediments and deliver desired results
• Demonstrated leadership skills through mentoring and providing technical guidance to multiple teams within a functional area
• Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability
• Experienced in driving technical strategy and vision for multiple teams
• Master's Degree in Computer Science
• 7+ years working at the intersection of Software Engineering and AI Engineering
• 3+ years of experience working on data platforms such as Kafka, Spark, etc
• 3+ years working on Generative AI related initiatives including leveraging closed and open source models and libraries