Software Quality Engineer
Since 1851, MassMutual's commitment has always been to help people protect their families, support their communities, and help one another. This is why we want to inspire people to Live Mutual.? We are people helping people.
A career with us means you will work alongside exceptional people and be empowered to reach your professional and personal goals. ?Our employees are the foundation of what makes MassMutual a strong, stable and ethical business. ?We seek and value unique and varied perspectives and experiences because we believe we are stronger when all voices are heard.? We invite you to bring your bright, innovative ideas to MassMutual as we continue to help millions of Americans rely on each other.
Together, we are stronger
What great looks like in this role
Our ideal candidate is someone who enjoys designing, building and delivering complex systems. You understand the complexities of data and the value that mature data platforms can provide in accelerating the development of new data projects. You are passionate about application testing, data quality and monitoring. You are equally comfortable developing multi-tiered enterprise applications.?
You keep current with new technologies and are team orientated. You are comfortable mentoring others and leading the development of major components.?
Objectives of the role
- Design, manage and implement data quality tests and frameworks for application testing
- Identify key KPIs to measure product and data health
- Standardize testing approach across teams, implement automated testing where applicable
- Contribute to ongoing improvements to platform monitoring
- Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST
- Participate in all aspects of development from design to delivery, acting as both developer and component lead?
- Debug and troubleshoots problems in code and data pipelines
- Evaluate and recommend tools, technologies, processes and reference architectures?
- Identify areas for process improvement, automation and simplification (e.g. use of existing open source technologies)
- Collaborate closely with other developers and provide mentorship as appropriate
- Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.) to prevent and resolve technical issues
- Work in Agile development environment, attending daily stand-up meetings and delivering incremental improvements.
Basic Qualifications
- Application Testing: Expertise building tests and using test frameworks to ensure good application quality. Strong knowledge of software QA methodologies, tools, and processes, experience with designing integration testing, performance testing and regression testing
- Data Quality: Strong grasp of data quality and how to assess data health
- Data: Good understanding of data (e.g. SQL)
- Automation: Desire to automate and improve processes
- Python: Proficient at building complex backend systems using modern technologies
- Git: Expertise with workflow steps, including branching, merging, rebasing, pull requests; working knowledge of reversion and alternative git flows
- CI/CD: Familiar with Jenkins pipeline, Docker container technologies.
- Communication: Excellent communication, problem solving, organizational and analytical skills
- Able to work independently and also to provide leadership to small teams of developers
Preferred Qualifications
- Quality: 3+ years application quality testing & data quality testing
- Development: 5+ years Python development, 3+ years Java development
- Cloud: Experience building with and deploying to cloud platforms such as AWS and leveraging serverless architectures (e.g. Lambda, Glue)
- Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink)
- Infrastructure as Code: Working knowledge of infrastructure as code technologies such as Terraform, CloudFormation and Ansible.
- Documentation: proficiency writing wiki pages for technical documentation including troubleshooting, tutorials, and reference material