Key Responsibilities

• Design, build, and maintain Pega case management, workflow, UI, data, and integration components.
• Deliver end-to-end features across Pega, AWS services (SQS, EKS, Step Functions, Lambda), Python-based APIs/automation, and PostgreSQL.
• Implement scalable and secure integrations using APIs, events, and enterprise integration patterns.
• Apply Pega best practices for performance, reusability, guardrails, and maintainability.
• Develop and optimize Python services and automation supporting workflows and data movement.
• Design and tune PostgreSQL schemas, queries, and data access patterns for performance and reliability.
• Contribute to CI/CD pipelines with automated testing, quality gates, and deployment controls.
• Improve production reliability through observability, performance tuning, and defect prevention.
• Participate in L3 production support, incident triage, and root cause remediation.
• Partner with Product Owners and System Analysts to translate business needs into technical solutions.
• Apply AI‑augmented development practices for code generation, testing, refactoring, and documentation.
• Mentor engineers and promote modern engineering, quality, and AI‑assisted delivery practices.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of professional software engineering experience with 3+ years of hands-on Pega delivery.
• Demonstrated expertise in Pega (Case Types, Data Pages, Integrations, UI configuration, rules resolution, performance tuning).
• Strong cross‑stack engineering capability across:
  • AWS (cloud-native application deployment and operations)
  • Python (API development, automation, service integration)
  • PostgreSQL (relational modeling, query optimization, data performance)
• Proven ability to design and troubleshoot end-to-end systems, from UI/workflow through services, data, and cloud infrastructure.
• Strong understanding of Agile delivery, enterprise SDLC, CI/CD, and DevOps practices.
• Demonstrated experience building secure, reliable, and compliant enterprise systems.
• Hands-on experience using AI‑assisted development tools (e.g., Copilot, Devin, Cursor) responsibly to improve productivity and quality.
• Strong analytical and troubleshooting skills, with a focus on performance, reliability, and defect prevention.
• Effective communicator able to collaborate across business, architecture, security, and operations stakeholders.
• Ability to mentor peers and elevate engineering standards without formal people management responsibility.

Preferred Qualifications

• Experience supporting underwriting, actuarial pricing, quoting, or sales enablement platforms.
• Experience modernizing legacy platforms into cloud-native or hybrid architectures.
• Familiarity with event-driven architectures, messaging, and enterprise integration patterns.
• Experience with data integration or analytics tools such as Boomi and/or Qlik.
• Exposure to AI enablement or data platforms such as Palantir Foundry, Ontology, or similar.
• Pega certifications (CSA, CSSA, LSA) or equivalent demonstrated expertise

About Evernorth Health Services