Staff Software Engineer

Overview

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 2026!

An in-person interview may be required during the hiring process.

Position Summary:

As a Staff Software Engineer, you will provide technical leadership and direction for multiple agile teams or projects to implement prioritized software product roadmaps. This role includes designing, developing, and maintaining complex software systems, along with mentoring junior engineers.

State specific pay scales for this role are as follows:

$101,167 to $204,439 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$91,970 to $185,853 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$82,773 to $167,268 (UT, , MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

Essential Job Functions:

• 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.

Education:

Minimum:

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

Preferred:

• Master’s Degree in Computer Science.

Experience:

Minimum:

• 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.

Preferred:

• 7 or more years of experience with backend development (preferably using Java or Python)
• 4 or more years of experience utilizing cloud technologies (preferred AWS)
• 3 or more years of experience overseeing the entire development lifecycle, from architecture design and coding to testing and release
• 3 or more years of experience mentoring junior engineers and providing technical leadership
• 1 or more years of experience with generative AI

Skills:

Minimum:

• 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, No
  
  SQL, 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 Dev Sec Ops  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,…