Backend Engineer (CLEARED) - 160036
$120K/yr – $180K/yr
You'll complete your application on the employer's website.
$120K/yr – $180K/yr
You'll complete your application on the employer's website.
Job type
Salary
$120K/yr – $180K/yr
Location
Sector
Posted
26 days ago
Zachary Piper Solutions is seeking a Backend Engineer to support a next-generation federal mission-software program focused on modernizing cloud-native operations. The role will design, build, and maintain backend services, APIs, and cloud-integrated capabilities while supporting AI/LLM integrations, scalable cloud architectures, and mission-critical federal operations.
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
Preferred
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
AI/LLM API Integration
Cloud-Native Distributed Systems
Startup Engineering Experience
Fast-Paced Engineering Experience
Debugging
Performance Optimization
Benefits
Equity opportunities depending on program
PTO
Paid holidays
Medical benefits
Dental benefits
Vision benefits
401(k)
Sick leave
Hybrid work flexibility depending on location
Company
Technical and professional services for U.S. government
Mclean, Virginia, USA
http://zacharypiper.com/
Founded in 2011
201-500 employees
Qualifications
Active Secret Security Clearance Required
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
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
Required skills
Python, REST API Development, GraphQL, Amazon Web Services (AWS), Docker, Kubernetes, Terraform, Git, GitHub/GitLab, Secret Security Clearance
Preferred skills
Background in cloud‑native distributed systems, Experience in startup or fast‑paced engineering environments
Experience
3+ years
Interested in this role?
Apply directly on the employer's website — it only takes a few minutes.
Other roles in Washington, DC or IT & Technology
We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling.
We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us.
Competitive
As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML…