Backend Engineer (CLEARED) - 160036

Responsibilities: : • Develop backend services and APIs using Python in a production environment • Integrate AWS services including EC2, Lambda, ECS/EKS, S3, RDS, CloudWatch, and Fargate • Build and maintain GraphQL or REST interfaces for mission‑critical applications • Support AI/LLM integrations with platforms such as OpenAI, Anthropic, and AskSage • Implement scalable, secure, and cost‑efficient cloud architectures • Troubleshoot backend issues, optimize performance, and improve system reliability • Collaborate with frontend engineers, AI engineers, and product teams in an Agile environment • Contribute to CI/CD pipelines, DevSecOps tooling, and infrastructure automation using Terraform or similar IaC tools Required Qualifications: • Bachelor's degree in Computer Science or related field (or equivalent hands‑on experience) • 3+ years of professional backend or full‑stack engineering experience • Strong proficiency in Python and API development (REST or GraphQL) • Experience with AWS services (Lambda, ECS/EKS, EC2, S3, RDS, CloudWatch) • Hands‑on experience with Docker and containerized applications • Familiarity with Kubernetes deployments (EKS preferred) • Experience with Terraform or other Infrastructure‑as‑Code tools • Strong Git workflow experience (GitHub/GitLab) • U.S. Person status and ability to obtain a U.S. Security Clearance Preferred Experience (Not Required): • Experience integrating AI/LLM APIs (OpenAI, Anthropic, AskSage) • Background in cloud‑native distributed systems • Experience in startup or fast‑paced engineering environments • Strong troubleshooting, debugging, and performance optimization skills Qualifications: : • Bachelor's degree in Computer Science or related field (or equivalent hands‑on experience) • 3+ years of professional backend or full‑stack engineering experience • Strong proficiency in Python and API development (REST or GraphQL) • Experience with AWS services (Lambda, ECS/EKS, EC2, S3, RDS, CloudWatch) • Hands‑on experience with Docker and containerized applications • Familiarity with Kubernetes deployments (EKS preferred) • Experience with Terraform or other Infrastructure‑as‑Code tools • Strong Git workflow experience (GitHub/GitLab) • U.S. Person status and ability to obtain a U.S. Security Clearance Preferred Experience (Not Required): • Experience integrating AI/LLM APIs (OpenAI, Anthropic, AskSage) • Background in cloud‑native distributed systems • Experience in startup or fast‑paced engineering environments • Strong troubleshooting, debugging, and performance optimization skills Compensation: & Benefits: • Competitive salary range: $120,000 - $180,000 (depending on experience) • Equity opportunities depending on program • Comprehensive benefits package including PTO, paid holidays, medical, dental, vision, 401(k), and sick leave • Hybrid work flexibility depending on location