Senior Software Engineer

Mercury Insurance Services • Brea, CA

9d • $94,458 - $179,048

About The Position

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2025! As a part of our Agentic AI team, you will play a crucial role in designing and building autonomous AI agents that drive intelligent automation across the enterprise. This role leads advanced LLM integrations, orchestrates multi‑step agentic workflows, and partners with business leaders to deliver measurable operational impact. Position Summary: As a Senior Software Engineer, you will play a crucial role in designing, developing, and maintaining complex software systems. This position involves leading agile teams or projects, mentoring junior engineers, and ensuring the delivery of high-quality software solutions.

Requirements

• Minimum: Bachelor’s Degree in Computer Science, Information Systems or other related fields OR equivalent combination of education and experience
• Minimum: 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.

Nice To Haves

• Preferred: Master’s Degree in Computer Science, Data Science, Machine Learning, or Mathematics.
• Preferred: 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
• Preferred: Experience in cloud platforms such as AWS, Google Cloud, or Azure.

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.

Benefits

• Competitive compensation
• Flexibility to work from anywhere in the United States for most positions
• Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
• Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
• Medical, dental, vision, life, and pet insurance
• 401 (k) retirement savings plan with company match
• Engaging work environment
• Promotional opportunities
• Education assistance
• Professional and personal development opportunities
• Company recognition program
• Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level