Senior Software Development Engineer Microservices

The Senior Software Engineer / Technical Lead (AI & Automation) will provide technical leadership for the design development modernization and support of critical applications supporting Prior Authorization Operations (PAOps) under PBM line of business. This role will be responsible for building and maintaining scalable cloud-native solutions that enable intelligent workflow automation AI-driven decisioning document processing and business process optimization.

The ideal candidate is a hands-on technical leader with strong software engineering and cloud architecture expertise coupled with practical experience implementing Generative AI Agentic AI and Large Language Model (LLM) solutions in production environments. This individual will collaborate closely with Data Engineering Data Science Product and Business teams to deliver highly available secure and scalable applications while driving innovation through AI-powered solutions.

Key areas of focus include:

• Application architecture development and production support
• Cloud-native engineering and platform modernization
• Microservices and distributed systems
• AI/GenAI Agentic AI and LLM-based solutions
• Event-driven and streaming architectures
• Engineering best practices mentoring and technical leadership

• 5 years of software engineering experience including designing and supporting enterprise-scale applications.
• 2 years of experience serving as a Technical Lead Sr Engineer or equivalent technical leadership role.
• Strong expertise in Python application development and modern API frameworks such as FastAPI Flask or similar technologies.
• Experience designing and implementing microservices distributed systems and RESTful APIs.
• Strong experience with Google Cloud Platform (GCP) and cloud-native application development.
• Hands-on experience with:
  • Kubernetes (GKE)
  • Docker/Containerization
  • CI/CD pipelines and DevOps practices
  • GitHub and modern source control practices
• Experience developing and supporting event-driven and streaming solutions using technologies such as Kafka or similar messaging platforms.
• Experience working with cloud-native data technologies including BigQuery BigTable SQL and large-scale data processing solutions.
• Strong understanding of software architecture design patterns system reliability performance optimization and observability.
• Hands-on experience implementing and operationalizing:
  • Generative AI solutions
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI Agents and Agentic AI workflows
  • Prompt engineering and model evaluation frameworks
• Experience integrating enterprise applications with AI platforms such as Gemini Vertex AI OpenAI Claude or similar technologies.
• Strong analytical troubleshooting and production support skills.
• Excellent communication collaboration and stakeholder management skills.

• Experience in healthcare pharmacy benefit management (PBM) utilization management or prior authorization operations.
• Experience building AI-powered workflow automation and decision-support systems.
• Experience deploying and managing AI applications within regulated environments.
• Familiarity with MLOps AI governance model monitoring and responsible AI practices.
• Experience with cloud migration and modernization initiatives.
• Experience leading architecture reviews mentoring engineers and driving engineering best practices across teams.
• Exposure to document intelligence OCR intelligent automation and business process automation platforms.
• Experience with healthcare data standards secure data processing and compliance requirements.

• Masters Degree preferred in Computer Science Artificial Intelligence Data Science Software Engineering or a related field.
• Relevant industry certifications in Cloud Computing Kubernetes AI/ML or Software Architecture (e.g. Google Cloud Professional certifications Kubernetes certifications AI/ML certifications).