[Remote] Full Stack and AI Engineer

Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The Full Stack and AI Engineer will design, build, and maintain scalable backend services and AI/ML-powered features, ensuring production readiness and enforcing engineering best practices. This role involves collaboration across various teams to deliver roadmap initiatives.

Responsibilities

• Design, build, and maintain scalable backend services and APIs using Java and Python
• Architect and implement event-driven/microservices solutions using Kafka (topics, partitions, consumer groups, schemas, retries/DLQs)
• Model, optimize, and maintain relational and/or NoSQL databases (schema design, indexing, query tuning, migrations)
• Develop data processing pipelines (streaming and batch) with strong focus on reliability, observability, and performance
• Build and integrate AI/ML-powered features (model inference services, prompt orchestration, vector search, or ML pipelines) and collaborate with data science teams
• Ensure production readiness: CI/CD, automated testing, monitoring/alerting, and incident response/root-cause analysis
• Enforce engineering best practices: code reviews, secure coding, documentation, and mentoring junior engineers
• Collaborate cross-functionally with product, QA, platform/SRE, and stakeholders to deliver roadmap initiatives

Skills

• High School Diploma/GED
• 8+ years of professional software engineering experience building backend systems in Java and/or Python
• 5+ years of experience leading a team of 5-10 engineers
• 3+ years of experience with databases (PostgreSQL/MySQL/Oracle and/or MongoDB/Cassandra), including performance tuning and transactional consistency
• 3+ years of experience in cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and CI/CD
• 2+ years of experience with Kafka in production (exactly-once/at-least-once semantics, schema evolution, monitoring, capacity planning)
• 2+ years of experience designing distributed systems (microservices, REST/gRPC, concurrency, caching, resiliency patterns)
• 1+ years of experience delivering AI-enabled solutions (LLM integration, ML inference deployment, feature engineering, vector databases such as Pinecone/Weaviate/pgvector, or MLOps tools)
• Bachelor's or Master's degree in Computer Science (or equivalent practical experience)

Benefits

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)

Company Overview