Senior Software Engineer

Mercury Insurance Services, LLC-posted 3 months ago
$92,154 - $174,681/Yr
Full-time • Senior
1,001-5,000 employees
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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 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.

  • 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.
  • 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.
  • Master’s Degree in Computer Science.
  • 5 or more years of solid experience with Java.
  • 1 to 2 years’ experience in mentoring and leading team members to deliver quality implementations into production environment.
  • Efficiency in operational activities such as inter-team communications, dependency management, application rollout planning etc.
  • Implementation knowledge of agentic AI using frameworks or protocols (e.g., LangGraph, OpenAI Agent SDK, or managed cloud providers implementations).
  • Familiarity and knowledge of how to use RAG and prompt engineering to get good results from AI models.
  • Exposure to cloud services from major providers like AWS, Google, or Azure that relate to AI.
  • 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
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