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

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.
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 backend development experience with Java and Python
5 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
Exposure to Contact Center technologies such as Amazon Connect
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.

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaPythonAWSCassandraDynamoDBMongoDBRESTgRPCDockerKubernetes

Soft Skills

problem-solvingcommunicationcollaborationinfluenceleadershipmentoringtechnical guidanceinnovationexcellenceteamwork

Certifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer Science