Senior Software Engineer

Mercury Insurance is a recognized company known for its achievements and culture. The Senior Software Engineer will be responsible for designing, developing, and maintaining complex software systems, leading agile teams, and mentoring junior engineers to ensure the delivery of high-quality software solutions.

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, reusable, 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 the sprint team to deliver new or improved features, addressing any impediments to delivering high-quality solutions in the sprint backlog
• Collaborate with other teams and stakeholders to ensure successful delivery of intended functionality
• Mentor and provide technical guidance to other engineers on the team, fostering a culture of innovation and excellence within Mercury engineering

Requirements:

• Bachelor's Degree in Computer Science, Information Systems or other related fields OR equivalent combination of education and experience
• 5+ years software programming experience with 2+ years experience in Technologies used at Mercury, more than one years experience leading and mentoring engineering teams
• Proficient in programming in one or more industry-standard languages (e.g., Java, Python, Go, C++, JavaScript)
• Experienced in leveraging various data structures, algorithms, and design patterns
• Skilled in relational databases, NoSQL, and caching solutions
• Experienced in APIs using modern protocols like REST and gRPC
• Proficient 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 leveraging DevSecOps to improve engineering efficiency
• Experienced 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
• Skilled in leveraging analytics data and experimentation to design and improve systems for speed, scalability, and effectiveness
• Strong problem-solving skills
• Excellent communication abilities
• Strong ability to collaborate and influence cross-functional teams and stakeholders to address impediments and deliver desired results
• Demonstrated leadership skills through mentoring and providing technical guidance to team members
• Experienced in driving technical strategy and vision for a team
• Master's Degree in Computer Science, Data Science, Machine Learning, or Mathematics
• 5 or more years of Python
• 2 or more years of experience leveraging Agentic AI, LLM Integration, etc
• Expertise building autonomous, multi-step AI agents using frameworks such as LangChain, AutoGen, Haystack, Semantic Kernel, or equivalent orchestration platforms
• Experience integrating Large Language Models (LLMs) and designing optimized prompts for multi-turn reasoning, tool calling, and context-aware workflows
• Experience enabling agentic systems to interact with external APIs, internal microservices, databases, and third‑party applications to complete complex tasks end-to-end
• Experience in cloud platforms such as AWS, Google Cloud, or Azure