Senior Software Engineer

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 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.

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.

Nice-to-haves

• Master’s Degree in Computer Science.
• 5 or more years of backend development experience with Java and Python.
• 4 or more years of experience utilizing AWS technologies such as Lambda, CloudWatch, S3, etc.
• 3 or more years of experience with Database technologies such as Casandra, DynamoDB, MongoDB.
• 1 or more years of experience with generative AI or Machine Learning.
• Experience in cloud platforms such as AWS, Google Cloud, or Azure.

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