Architect Agentic AI: Design and implement agentic AI workflows and multi-agent systems (MAS) to automate complex, autonomous business processes
Scale Cloud Infrastructure: Build and maintain high-availability systems on AWS utilizing Kubernetes, container orchestration, and diverse storage tiers (S3, NFS, NAS)
Optimize Data Flow: Engineering robust pipelines using message brokers (Kafka, RMQ, SQS), caching (Redis), and workflow orchestrators (Nextflow, AWS Step Functions)
Develop Microservices: Design maintainable, observable APIs and microservices using Python and Agile practices
Enhance Platform Rigor: Actively improve CI/CD pipelines and infrastructure-as-code (Terraform) to ensure rapid, reliable delivery
Decompose Ambiguity: Breakdown open-ended business cases into well-defined technical components and execution roadmaps

Requirements

Bachelor's degree in Engineering, Computer Science, IT or related field
5+ years progressive software development experience
Experience building or integrating AI-driven or automation-focused systems
Cloud infrastructure experience on a major public cloud (AWS or Azure)
Experience programming in Python or another high-level, object-oriented language
Experience building and operating microservices
Experience with containerized systems (e.g., Kubernetes)
Experience with CI/CD pipeline

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

agentic AImulti-agent systemsAWSKubernetesmessage brokersKafkaRedisPythonmicroservicesCI/CD

Soft Skills

designimplementationoptimizationproblem-solvingcommunication

Certifications

Bachelor's degree in EngineeringBachelor's degree in Computer ScienceBachelor's degree in IT