Senior Software Engineer

What you'll do

• Build and deliver large-scale cloud-native agent platform capabilities primarily on AWS
• Work hands-on across the technology stack including Python, Django, TypeScript, React, FastAPI, Celery, PostgreSQL, Redis, OpenSearch, AWS Bedrock, Strands Agent SDK, MCP, Terraform, and Docker
• Design, develop, and operate agent runtime services including spec compilation, pre-flight authorization, skills seeding, MCP tool orchestration, streaming responses, and run package recording
• Build and enhance agent builder and product UIs using React 19, shadcn/ui, TanStack Query, and type-safe OpenAPI client generation
• Implement MCP catalog, gateway, and federation capabilities; integrate domain MCP servers for loyalty, customer CDP, messaging, digital media, and related enterprise systems
• Drive performance optimization, scalability, reliability, security, tenant isolation, governance, and cost efficiency
• Collaborate closely with global engineering, product management, architecture, AI/ML, and business partners
• Own the end-to-end software development lifecycle including requirements gathering, solution design, development, deployment, observability, and documentation
• Contribute to observability and quality through OpenTelemetry instrumentation, Grafana/Phoenix tracing, pytest/Vitest/Playwright testing, and CI/CD pipelines
• Mentor engineers, lead technical design reviews, set engineering standards, and drive cross-team initiatives at senior levels

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related discipline
• 5–7 years experience as a Senior Software Engineer
• Proficiency in developing scalable applications and distributed systems
• Extensive hands-on experience in Python and Django including Django REST Framework and/or Django Ninja
• Advanced skills in TypeScript and React
• Experience designing and constructing scalable REST APIs, microservices, containerized workloads, and distributed systems
• Competence with PostgreSQL, Redis, and search/indexing systems
• Experience with AWS services including ECS Fargate, RDS, S3, SQS, ALB, CloudFront, Secrets Manager, IAM, and AWS Bedrock
• Expertise in asynchronous processing using Celery and message queues
• Knowledge of SSE/WebSocket streaming for real-time solutions
• Experience implementing authentication and authorization protocols using Okta/OIDC, JWT, and claims-based access control
• Practical experience with Infrastructure as Code tools such as Terraform and/or AWS CDK
• Understanding of CI/CD and DevOps methodologies
• Ability to establish comprehensive testing strategies (unit, integration, end-to-end)
• Excellent critical thinking and analytical capabilities
• Awareness and exposure to Generative AI technologies including LLMs, RAG architectures, MCP, agent orchestration, and Agentic AI systems
• Hands-on experience with agent runtime frameworks and AI platforms preferred

Tech stack

Benefits