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Job Description: 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.

 Geo-Salary Information 

State specific pay scales for this role are as follows:

$92,154 to $174,681 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$83,776 to $158,801 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$75,399 to $142,921 (UT, ID, 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.

 Responsibilities 

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, 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.

 Qualifications 

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:

5+ years software programming experience with 2+ years experience in Technologies used at Mercury, more than one years experience leading and mentoring engineering teams

Preferred:

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.

Skills: 

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.
Preferred: Experience in cloud platforms such as AWS, Google Cloud, or Azure.