Software Engineer (Python)

Were seeking a Software Engineer to join our automation and engineering team supporting critical initiatives at a Fortune 10 organization. Youll work on mission-critical systems that automate complex, multi-step business processes across enterprise platforms including contact center systems, emergency services, and workforce management tools.

As part of a small, collaborative team, youll both maintain existing automation workflows and build new features using Temporal.ios distributed workflow orchestration framework. This role offers a unique opportunity to work on production systems supporting thousands of users.

What Youll Build

• Multi-system orchestration workflows that coordinate operations across 3-5 enterprise platforms with automatic retries and error recovery
• Durable workflow pipelines using Temporal.io to handle complex business logic spanning multiple services and APIs
• RESTful API integrations with third-party platforms, handling authentication, data transformation, and error scenarios
• Database-backed state management using PostgreSQL for workflow tracking, audit trails, and compliance
• Containerized microservices deployed on Kubernetes that process hundreds of requests daily

Required Qualifications

Technical Foundation

• 3-5 years of Python development experience with solid understanding of:
  • Object-oriented programming and design patterns
  • Async/await patterns for asynchronous operations
  • RESTful API consumption and JSON data handling
  • Exception handling and error propagation
  • Unit testing with pytest or similar frameworks
• Experience integrating with third-party APIs, including:
  • Authentication mechanisms (API keys, OAuth2, bearer tokens)
  • HTTP request/response handling with libraries like requests or httpx
  • Handling rate limits, retries, and timeouts
  • Parsing and transforming JSON/XML responses
• Working knowledge of SQL databases:
  • Writing queries with JOINs, aggregations, and filtering
  • Understanding of transactions and ACID properties
  • Basic schema design principles
• Familiarity with containerization and orchestration:
  • Docker basics (building images, running containers)
  • Understanding of Kubernetes concepts (pods, deployments, services)
  • Environment configuration and secrets management

Professional Skills

• Problem-solving mindset - break down complex problems into manageable pieces
• Collaborative approach - comfortable asking questions, giving/receiving feedback, pair programming
• Self-directed for independent work - take ownership of tasks and see them through
• Clear communication - explain technical concepts to technical and non-technical stakeholders
• Attention to detail - especially important in healthcare environments where mistakes impact patient care