Backend Engineer (CLEARED)

Zachary Piper; Denver (CO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary range

Equity opportunities

Comprehensive benefits package including PTO

Job summary

A technology solutions provider is looking for a Backend Engineer to support a federal mission software program. The role involves developing backend services and APIs using Python, integrating various AWS services, and optimizing performance in a hybrid environment. Candidates should have a bachelor's degree in Computer Science, at least 3 years of engineering experience, and strong skills in Python and cloud services. This position offers a competitive salary range and comprehensive benefits.

Qualifications

• 3+ years of professional backend or full-stack engineering experience.
• Hands-on experience with Docker and containerized applications.
• Person status and ability to obtain Security Clearance.

Responsibilities

• Develop backend services and APIs using Python in a production environment.
• Integrate AWS services including EC2, Lambda, ECS/EKS, S3, RDS, CloudWatch.
• Implement scalable, secure, and cost-efficient cloud architectures.

Skills

Python

API development (REST or GraphQL)

AWS services (Lambda, ECS/EKS, EC2, S3, RDS, CloudWatch)

Docker

Git workflow (GitHub/GitLab)

Terraform

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Docker

Terraform

Job description

Zachary Piper Solutions is seeking a Backend Engineer to support a next‑generation federal mission‑software program focused on modernizing cloud‑native operations. This position is based in a hybrid environment with locations including Washington, DC, Arlington, VA, Seattle, San Francisco, Los Angeles, and Denver. The Backend Engineer will design, build, and maintain backend services, APIs, and cloud‑integrated capabilities that directly support mission‑critical federal operations. This is an excellent opportunity for an engineer who wants to work with modern technologies, contribute to high‑impact systems, and grow within a fast‑moving, mission‑driven environment.

ACTIVE SECRET SECURITY CLEARANCE REQUIRED

Primary 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)
• Person status and ability to obtain 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

Keywords

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