Senior Back End Software Engineer

Responsibilities

• Design, develop, and maintain scalable backend systems and APIs to support Archer’s ride-sharing and airline operational platforms


• Build cloud-native applications and services using Python and AWS technologies


• Lead architectural design and system integrations, ensuring systems are modular, efficient, and secure


• Develop infrastructure-as-code using Terraform or AWS CDK to provision and manage backend environments


• Collaborate with stakeholders to define technical requirements and translate them into robust implementations


• Own the full development lifecycle—from design and development to deployment, monitoring, and maintenance


• Conduct code reviews, enforce engineering best practices, and mentor fellow engineers


• Monitor system performance and reliability, and respond to production issues with effective debugging and root cause analysis

Qualifications

Small but mighty, 0 to 1 builder mentality

• 7+ years of backend software engineering experience, with a proven track record of delivering scalable backend systems


• Expert-level proficiency in Python for backend application development


• Proficiency with infrastructure-as-code tools such as Terraform or AWS CDK


• Strong communication and collaboration skills across technical and non-technical stakeholders


• BS/MS/PhD in Computer Science or a related technical field


• Excellent debugging, analytical, and problem-solving skills


• Deep understanding of RESTful API design, microservices architecture, and distributed systems


• Experience with performance tuning, system monitoring, and observability tools


• Strong experience with AWS, including services such as Lambda, API Gateway, S3, DynamoDB, ECS/Fargate, etc


• 5+ years of experience as a backend engineer, with demonstrated leadership in complex system design


• Experience with data modeling and working with SQL and NoSQL databases (e.g., Postgres, DynamoDB)


• Prior experience in aerospace, transportation, or rideshare industries


• Familiarity with CI/CD pipelines and container orchestration tools (e.g., Docker, Kubernetes)


• Background in high-availability, real-time systems or event-driven architectures