Data Science Software Engineer
- Collaborate with AI Engineers, Data Scientists, Data Engineers, Product Managers, Enterprise Architecture, and broader stakeholders to define strategies for data ingestion and processing, cloud infrastructure design, application development, and observability. Your work will directly shape MassMutual’s Data Science and AI ecosystems.
- Serve as a technical SME across multiple technologies, guiding architectural decisions and ensuring alignment with enterprise standards.
- Provide technical leadership for multiple medium and large initiatives simultaneously, promoting engineering best practices and fostering high‑quality delivery.
- Design and implement reusable software libraries and components that accelerate development and increase organizational efficiency.
- Lead complex problem solving to deliver scalable, resilient, and maintainable systems.
- Partner with team members and business stakeholders to analyze, break down, and plan complex application features.
- Participate actively in team ceremonies such as standups, sprint planning, and demos.
- Implement infrastructure-as-code to support platform scalability and reliability.
- Monitor and remediate software vulnerabilities within required SLAs, contributing to enterprise security posture.
- Document infrastructure, workflows, and operational procedures to support transparency, auditability, and long-term sustainability.
- 7+ years working with data and relevant computational frameworks and systems.
- 7+ years of experience building complex software systems (pipelines/services/backends/frontends).
- 7+ years of software development experience using Python.
- 7+ years developing backend applications with API services.
- 5+ years of experience with AWS cloud services (EKS, EC2, Lambda, etc.).
- 5+ years of experience with Terraform.
- 7+ years of experience writing complex SQL queries for relational databases such as MySQL or PostgreSQL.
- 5+ years of experience with Agile methodologies.
- 5+ years of hands-on experience with Jenkins pipelines and/or GitHub Actions.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- Experience with GenAI and Agentic AI.
- Experience deploying AI/ML services through AWS Bedrock and/or Bedrock AgentCore with Strands.
- Experience with Azure cloud services.
- Experience with Cloud IAM.
- Experience collaborating with diverse engineering teams.
- Strong documentation practices and the ability to produce high-quality technical artifacts.
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